More models
This commit is contained in:
Paul
@@ -0,0 +1,567 @@
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{
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"url": "https://replicate.com/ai-forever/kandinsky-2.2",
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"owner": "ai-forever",
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"name": "kandinsky-2.2",
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"description": "multilingual text2image latent diffusion model",
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"visibility": "public",
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"github_url": "https://github.com/chenxwh/Kandinsky-2/tree/v2.2",
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"paper_url": null,
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"license_url": "https://github.com/ai-forever/Kandinsky-2/blob/main/license",
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"run_count": 9618035,
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"cover_image_url": "https://replicate.delivery/pbxt/Lca3IEjcKoJBBVS6ajROkK37sDzPsmjYxIcFzxPZp65wZzTE/out-0.png",
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"default_example": {
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"id": "3tsx2ijbtsa47m4mwbifyiglxm",
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"model": "ai-forever/kandinsky-2.2",
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"version": "424befb1eae6af8363edb846ae98a11111a39740988baebd279d73fe3ecc92c2",
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"status": "succeeded",
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"input": {
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"width": 1024,
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"height": 1024,
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"prompt": "A moss covered astronaut with a black background",
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"num_outputs": 1,
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"num_inference_steps": 75
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},
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"output": [
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"https://replicate.delivery/pbxt/Lca3IEjcKoJBBVS6ajROkK37sDzPsmjYxIcFzxPZp65wZzTE/out-0.png"
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],
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"logs": "Using seed: 4697\n 0%| | 0/25 [00:00<?, ?it/s]\n 20%|██ | 5/25 [00:00<00:00, 40.13it/s]\n 40%|████ | 10/25 [00:00<00:00, 40.19it/s]\n 60%|██████ | 15/25 [00:00<00:00, 40.05it/s]\n 80%|████████ | 20/25 [00:00<00:00, 39.66it/s]\n100%|██████████| 25/25 [00:00<00:00, 39.93it/s]\n100%|██████████| 25/25 [00:00<00:00, 39.90it/s]\nThe following part of your input was truncated because CLIP can only handle sequences up to 77 tokens: ['gross proportions, malformed limbs, missing arms, missing legs, extra arms, extra legs, fused fingers, too many fingers, long neck, username, watermark, signature']\n 0%| | 0/25 [00:00<?, ?it/s]\n 16%|█▌ | 4/25 [00:00<00:00, 37.91it/s]\n 36%|███▌ | 9/25 [00:00<00:00, 39.60it/s]\n 56%|█████▌ | 14/25 [00:00<00:00, 39.87it/s]\n 76%|███████▌ | 19/25 [00:00<00:00, 40.26it/s]\n 96%|█████████▌| 24/25 [00:00<00:00, 40.42it/s]\n100%|██████████| 25/25 [00:00<00:00, 40.12it/s]\n 0%| | 0/75 [00:00<?, ?it/s]\n 1%|▏ | 1/75 [00:00<00:14, 5.06it/s]\n 4%|▍ | 3/75 [00:00<00:08, 8.75it/s]\n 7%|▋ | 5/75 [00:00<00:06, 10.26it/s]\n 9%|▉ | 7/75 [00:00<00:06, 11.00it/s]\n 12%|█▏ | 9/75 [00:00<00:05, 11.45it/s]\n 15%|█▍ | 11/75 [00:01<00:05, 11.72it/s]\n 17%|█▋ | 13/75 [00:01<00:05, 11.89it/s]\n 20%|██ | 15/75 [00:01<00:04, 12.01it/s]\n 23%|██▎ | 17/75 [00:01<00:04, 12.09it/s]\n 25%|██▌ | 19/75 [00:01<00:04, 12.12it/s]\n 28%|██▊ | 21/75 [00:01<00:04, 12.16it/s]\n 31%|███ | 23/75 [00:02<00:04, 12.19it/s]\n 33%|███▎ | 25/75 [00:02<00:04, 12.21it/s]\n 36%|███▌ | 27/75 [00:02<00:03, 12.20it/s]\n 39%|███▊ | 29/75 [00:02<00:03, 12.21it/s]\n 41%|████▏ | 31/75 [00:02<00:03, 12.12it/s]\n 44%|████▍ | 33/75 [00:02<00:03, 12.11it/s]\n 47%|████▋ | 35/75 [00:02<00:03, 12.04it/s]\n 49%|████▉ | 37/75 [00:03<00:03, 11.90it/s]\n 52%|█████▏ | 39/75 [00:03<00:03, 11.98it/s]\n 55%|█████▍ | 41/75 [00:03<00:02, 12.04it/s]\n 57%|█████▋ | 43/75 [00:03<00:02, 12.08it/s]\n 60%|██████ | 45/75 [00:03<00:02, 12.12it/s]\n 63%|██████▎ | 47/75 [00:03<00:02, 12.09it/s]\n 65%|██████▌ | 49/75 [00:04<00:02, 12.06it/s]\n 68%|██████▊ | 51/75 [00:04<00:01, 12.10it/s]\n 71%|███████ | 53/75 [00:04<00:01, 12.14it/s]\n 73%|███████▎ | 55/75 [00:04<00:01, 12.14it/s]\n 76%|███████▌ | 57/75 [00:04<00:01, 12.16it/s]\n 79%|███████▊ | 59/75 [00:04<00:01, 12.18it/s]\n 81%|████████▏ | 61/75 [00:05<00:01, 12.11it/s]\n 84%|████████▍ | 63/75 [00:05<00:00, 12.15it/s]\n 87%|████████▋ | 65/75 [00:05<00:00, 12.14it/s]\n 89%|████████▉ | 67/75 [00:05<00:00, 12.14it/s]\n 92%|█████████▏| 69/75 [00:05<00:00, 12.16it/s]\n 95%|█████████▍| 71/75 [00:05<00:00, 12.19it/s]\n 97%|█████████▋| 73/75 [00:06<00:00, 12.17it/s]\n100%|██████████| 75/75 [00:06<00:00, 12.18it/s]\n100%|██████████| 75/75 [00:06<00:00, 11.92it/s]",
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"error": null,
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"metrics": {
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"predict_time": 9.029294,
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"total_time": 8.996641
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},
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"created_at": "2023-07-12T22:22:51.044455Z",
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"started_at": "2023-07-12T22:22:51.011802Z",
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"completed_at": "2023-07-12T22:23:00.041096Z",
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"urls": {
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"get": "https://api.replicate.com/v1/predictions/3tsx2ijbtsa47m4mwbifyiglxm",
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"cancel": "https://api.replicate.com/v1/predictions/3tsx2ijbtsa47m4mwbifyiglxm/cancel"
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}
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},
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"latest_version": {
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"id": "ad9d7879fbffa2874e1d909d1d37d9bc682889cc65b31f7bb00d2362619f194a",
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"created_at": "2024-04-10T14:54:34.535852+00:00",
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"cog_version": "0.9.4",
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"openapi_schema": {
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"info": {
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"title": "Cog",
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"version": "0.1.0"
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},
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"paths": {
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"/": {
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"get": {
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"summary": "Root",
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"responses": {
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"200": {
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"content": {
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"application/json": {
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"schema": {
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"title": "Response Root Get"
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}
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}
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},
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"description": "Successful Response"
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}
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},
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"operationId": "root__get"
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}
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},
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"/shutdown": {
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"post": {
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"summary": "Start Shutdown",
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"responses": {
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"200": {
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"content": {
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"application/json": {
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"schema": {
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"title": "Response Start Shutdown Shutdown Post"
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}
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}
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},
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"description": "Successful Response"
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}
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},
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"operationId": "start_shutdown_shutdown_post"
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}
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},
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"/predictions": {
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"post": {
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"summary": "Predict",
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"responses": {
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"200": {
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"content": {
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"application/json": {
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"schema": {
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"$ref": "#/components/schemas/PredictionResponse"
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}
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}
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},
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"description": "Successful Response"
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},
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"422": {
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"content": {
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"application/json": {
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"schema": {
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"$ref": "#/components/schemas/HTTPValidationError"
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}
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}
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},
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"description": "Validation Error"
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}
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},
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"parameters": [
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{
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"in": "header",
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"name": "prefer",
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"schema": {
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"type": "string",
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"title": "Prefer"
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},
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"required": false
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}
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],
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"description": "Run a single prediction on the model",
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"operationId": "predict_predictions_post",
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"requestBody": {
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"content": {
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"application/json": {
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"schema": {
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"$ref": "#/components/schemas/PredictionRequest"
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}
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}
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}
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}
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}
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},
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"/health-check": {
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"get": {
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"summary": "Healthcheck",
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"responses": {
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"200": {
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"content": {
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"application/json": {
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"schema": {
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"title": "Response Healthcheck Health Check Get"
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}
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}
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},
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"description": "Successful Response"
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}
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},
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"operationId": "healthcheck_health_check_get"
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}
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},
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"/predictions/{prediction_id}": {
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"put": {
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"summary": "Predict Idempotent",
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"responses": {
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"200": {
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"content": {
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"application/json": {
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"schema": {
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"$ref": "#/components/schemas/PredictionResponse"
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}
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}
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},
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"description": "Successful Response"
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},
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"422": {
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"content": {
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"application/json": {
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"schema": {
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"$ref": "#/components/schemas/HTTPValidationError"
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}
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}
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},
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"description": "Validation Error"
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}
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},
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"parameters": [
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{
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"in": "path",
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"name": "prediction_id",
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"schema": {
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"type": "string",
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"title": "Prediction ID"
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},
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"required": true
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},
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{
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"in": "header",
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"name": "prefer",
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"schema": {
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||||
"type": "string",
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"title": "Prefer"
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},
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"required": false
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}
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],
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"description": "Run a single prediction on the model (idempotent creation).",
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"operationId": "predict_idempotent_predictions__prediction_id__put",
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"requestBody": {
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"content": {
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"application/json": {
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||||
"schema": {
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||||
"allOf": [
|
||||
{
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||||
"$ref": "#/components/schemas/PredictionRequest"
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||||
}
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||||
],
|
||||
"title": "Prediction Request"
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||||
}
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||||
}
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||||
},
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||||
"required": true
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||||
}
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||||
}
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||||
},
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||||
"/predictions/{prediction_id}/cancel": {
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||||
"post": {
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||||
"summary": "Cancel",
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||||
"responses": {
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||||
"200": {
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||||
"content": {
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||||
"application/json": {
|
||||
"schema": {
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||||
"title": "Response Cancel Predictions Prediction Id Cancel Post"
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||||
}
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||||
}
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||||
},
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||||
"description": "Successful Response"
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||||
},
|
||||
"422": {
|
||||
"content": {
|
||||
"application/json": {
|
||||
"schema": {
|
||||
"$ref": "#/components/schemas/HTTPValidationError"
|
||||
}
|
||||
}
|
||||
},
|
||||
"description": "Validation Error"
|
||||
}
|
||||
},
|
||||
"parameters": [
|
||||
{
|
||||
"in": "path",
|
||||
"name": "prediction_id",
|
||||
"schema": {
|
||||
"type": "string",
|
||||
"title": "Prediction ID"
|
||||
},
|
||||
"required": true
|
||||
}
|
||||
],
|
||||
"description": "Cancel a running prediction",
|
||||
"operationId": "cancel_predictions__prediction_id__cancel_post"
|
||||
}
|
||||
}
|
||||
},
|
||||
"openapi": "3.0.2",
|
||||
"components": {
|
||||
"schemas": {
|
||||
"Input": {
|
||||
"type": "object",
|
||||
"title": "Input",
|
||||
"properties": {
|
||||
"seed": {
|
||||
"type": "integer",
|
||||
"title": "Seed",
|
||||
"x-order": 7,
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||||
"description": "Random seed. Leave blank to randomize the seed"
|
||||
},
|
||||
"width": {
|
||||
"allOf": [
|
||||
{
|
||||
"$ref": "#/components/schemas/width"
|
||||
}
|
||||
],
|
||||
"default": 512,
|
||||
"x-order": 2,
|
||||
"description": "Width of output image. Lower the setting if hits memory limits."
|
||||
},
|
||||
"height": {
|
||||
"allOf": [
|
||||
{
|
||||
"$ref": "#/components/schemas/height"
|
||||
}
|
||||
],
|
||||
"default": 512,
|
||||
"x-order": 3,
|
||||
"description": "Height of output image. Lower the setting if hits memory limits."
|
||||
},
|
||||
"prompt": {
|
||||
"type": "string",
|
||||
"title": "Prompt",
|
||||
"default": "A moss covered astronaut with a black background",
|
||||
"x-order": 0,
|
||||
"description": "Input prompt"
|
||||
},
|
||||
"num_outputs": {
|
||||
"type": "integer",
|
||||
"title": "Num Outputs",
|
||||
"default": 1,
|
||||
"maximum": 4,
|
||||
"minimum": 1,
|
||||
"x-order": 6,
|
||||
"description": "Number of images to output."
|
||||
},
|
||||
"output_format": {
|
||||
"allOf": [
|
||||
{
|
||||
"$ref": "#/components/schemas/output_format"
|
||||
}
|
||||
],
|
||||
"default": "webp",
|
||||
"x-order": 8,
|
||||
"description": "Output image format"
|
||||
},
|
||||
"negative_prompt": {
|
||||
"type": "string",
|
||||
"title": "Negative Prompt",
|
||||
"x-order": 1,
|
||||
"description": "Specify things to not see in the output"
|
||||
},
|
||||
"num_inference_steps": {
|
||||
"type": "integer",
|
||||
"title": "Num Inference Steps",
|
||||
"default": 75,
|
||||
"maximum": 500,
|
||||
"minimum": 1,
|
||||
"x-order": 4,
|
||||
"description": "Number of denoising steps"
|
||||
},
|
||||
"num_inference_steps_prior": {
|
||||
"type": "integer",
|
||||
"title": "Num Inference Steps Prior",
|
||||
"default": 25,
|
||||
"maximum": 500,
|
||||
"minimum": 1,
|
||||
"x-order": 5,
|
||||
"description": "Number of denoising steps for priors"
|
||||
}
|
||||
}
|
||||
},
|
||||
"width": {
|
||||
"enum": [
|
||||
384,
|
||||
512,
|
||||
576,
|
||||
640,
|
||||
704,
|
||||
768,
|
||||
960,
|
||||
1024,
|
||||
1152,
|
||||
1280,
|
||||
1536,
|
||||
1792,
|
||||
2048
|
||||
],
|
||||
"type": "integer",
|
||||
"title": "width",
|
||||
"description": "An enumeration."
|
||||
},
|
||||
"Output": {
|
||||
"type": "array",
|
||||
"items": {
|
||||
"type": "string",
|
||||
"format": "uri"
|
||||
},
|
||||
"title": "Output"
|
||||
},
|
||||
"Status": {
|
||||
"enum": [
|
||||
"starting",
|
||||
"processing",
|
||||
"succeeded",
|
||||
"canceled",
|
||||
"failed"
|
||||
],
|
||||
"type": "string",
|
||||
"title": "Status",
|
||||
"description": "An enumeration."
|
||||
},
|
||||
"height": {
|
||||
"enum": [
|
||||
384,
|
||||
512,
|
||||
576,
|
||||
640,
|
||||
704,
|
||||
768,
|
||||
960,
|
||||
1024,
|
||||
1152,
|
||||
1280,
|
||||
1536,
|
||||
1792,
|
||||
2048
|
||||
],
|
||||
"type": "integer",
|
||||
"title": "height",
|
||||
"description": "An enumeration."
|
||||
},
|
||||
"WebhookEvent": {
|
||||
"enum": [
|
||||
"start",
|
||||
"output",
|
||||
"logs",
|
||||
"completed"
|
||||
],
|
||||
"type": "string",
|
||||
"title": "WebhookEvent",
|
||||
"description": "An enumeration."
|
||||
},
|
||||
"output_format": {
|
||||
"enum": [
|
||||
"webp",
|
||||
"jpeg",
|
||||
"png"
|
||||
],
|
||||
"type": "string",
|
||||
"title": "output_format",
|
||||
"description": "An enumeration."
|
||||
},
|
||||
"ValidationError": {
|
||||
"type": "object",
|
||||
"title": "ValidationError",
|
||||
"required": [
|
||||
"loc",
|
||||
"msg",
|
||||
"type"
|
||||
],
|
||||
"properties": {
|
||||
"loc": {
|
||||
"type": "array",
|
||||
"items": {
|
||||
"anyOf": [
|
||||
{
|
||||
"type": "string"
|
||||
},
|
||||
{
|
||||
"type": "integer"
|
||||
}
|
||||
]
|
||||
},
|
||||
"title": "Location"
|
||||
},
|
||||
"msg": {
|
||||
"type": "string",
|
||||
"title": "Message"
|
||||
},
|
||||
"type": {
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||||
"type": "string",
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||||
"title": "Error Type"
|
||||
}
|
||||
}
|
||||
},
|
||||
"PredictionRequest": {
|
||||
"type": "object",
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||||
"title": "PredictionRequest",
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||||
"properties": {
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||||
"id": {
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||||
"type": "string",
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||||
"title": "Id"
|
||||
},
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||||
"input": {
|
||||
"$ref": "#/components/schemas/Input"
|
||||
},
|
||||
"webhook": {
|
||||
"type": "string",
|
||||
"title": "Webhook",
|
||||
"format": "uri",
|
||||
"maxLength": 65536,
|
||||
"minLength": 1
|
||||
},
|
||||
"created_at": {
|
||||
"type": "string",
|
||||
"title": "Created At",
|
||||
"format": "date-time"
|
||||
},
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||||
"output_file_prefix": {
|
||||
"type": "string",
|
||||
"title": "Output File Prefix"
|
||||
},
|
||||
"webhook_events_filter": {
|
||||
"type": "array",
|
||||
"items": {
|
||||
"$ref": "#/components/schemas/WebhookEvent"
|
||||
},
|
||||
"default": [
|
||||
"start",
|
||||
"output",
|
||||
"logs",
|
||||
"completed"
|
||||
]
|
||||
}
|
||||
}
|
||||
},
|
||||
"PredictionResponse": {
|
||||
"type": "object",
|
||||
"title": "PredictionResponse",
|
||||
"properties": {
|
||||
"id": {
|
||||
"type": "string",
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||||
"title": "Id"
|
||||
},
|
||||
"logs": {
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||||
"type": "string",
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||||
"title": "Logs",
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||||
"default": ""
|
||||
},
|
||||
"error": {
|
||||
"type": "string",
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||||
"title": "Error"
|
||||
},
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||||
"input": {
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||||
"$ref": "#/components/schemas/Input"
|
||||
},
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||||
"output": {
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||||
"$ref": "#/components/schemas/Output"
|
||||
},
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||||
"status": {
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||||
"$ref": "#/components/schemas/Status"
|
||||
},
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||||
"metrics": {
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||||
"type": "object",
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||||
"title": "Metrics"
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||||
},
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||||
"version": {
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||||
"type": "string",
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||||
"title": "Version"
|
||||
},
|
||||
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||||
"type": "string",
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||||
"title": "Created At",
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||||
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|
||||
},
|
||||
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|
||||
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||||
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||||
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|
||||
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||||
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||||
"type": "string",
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||||
"title": "Completed At",
|
||||
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|
||||
}
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||||
}
|
||||
},
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
"$ref": "#/components/schemas/ValidationError"
|
||||
},
|
||||
"title": "Detail"
|
||||
}
|
||||
}
|
||||
}
|
||||
}
|
||||
}
|
||||
}
|
||||
}
|
||||
}
|
||||
@@ -7,7 +7,7 @@
|
||||
"github_url": "https://github.com/daanelson/cog-blip-2",
|
||||
"paper_url": "https://arxiv.org/abs/2301.12597",
|
||||
"license_url": null,
|
||||
"run_count": 22261404,
|
||||
"run_count": 22263134,
|
||||
"cover_image_url": "https://replicate.delivery/pbxt/IJEPmgAlL2zNBNDoRRKFegTEcxnlRhoQxlNjPHSZEy0pSIKn/gg_bridge.jpeg",
|
||||
"default_example": {
|
||||
"id": "uhd4lhedtvdlbnm2cyhzx65zpe",
|
||||
|
||||
@@ -0,0 +1,563 @@
|
||||
{
|
||||
"url": "https://replicate.com/batouresearch/high-resolution-controlnet-tile",
|
||||
"owner": "batouresearch",
|
||||
"name": "high-resolution-controlnet-tile",
|
||||
"description": "Fermat.app open-source implementation of an efficient ControlNet 1.1 tile for high-quality upscales. Increase the creativity to encourage hallucination.",
|
||||
"visibility": "public",
|
||||
"github_url": "https://github.com/BatouResearch/controlnet-tile-upscale",
|
||||
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|
||||
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|
||||
"run_count": 416151,
|
||||
"cover_image_url": "https://replicate.delivery/pbxt/8Reu1zg6zAV6GShu5yiyP0ueFch9EddJPlVfIxyiMLWBlwJkA/out-0.png",
|
||||
"default_example": {
|
||||
"id": "jmbdgg3btnpkdebjf3xincdepa",
|
||||
"model": "batouresearch/high-resolution-controlnet-tile",
|
||||
"version": "4af11083a13ebb9bf97a88d7906ef21cf79d1f2e5fa9d87b70739ce6b8113d29",
|
||||
"status": "succeeded",
|
||||
"input": {
|
||||
"hdr": 0.7,
|
||||
"image": "https://replicate.delivery/pbxt/K2gjWl0c5hGCKrNBj2xyJpt7QhOpwNpYXfJ4pnJS56RoN1KK/4904b1be-61dc-4ef0-916b-2f33b2ca953a.webp",
|
||||
"steps": 20,
|
||||
"prompt": "UHD 4k vogue, a woman wearing a colorful organic hat",
|
||||
"scheduler": "DDIM",
|
||||
"creativity": 0.75,
|
||||
"guess_mode": false,
|
||||
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|
||||
"resemblance": 1,
|
||||
"guidance_scale": 5,
|
||||
"negative_prompt": "Teeth, tooth, open mouth, longbody, lowres, bad anatomy, bad hands, missing fingers, extra digit, fewer digits, cropped, worst quality, low quality, mutant"
|
||||
},
|
||||
"output": [
|
||||
"https://replicate.delivery/pbxt/8Reu1zg6zAV6GShu5yiyP0ueFch9EddJPlVfIxyiMLWBlwJkA/out-0.png"
|
||||
],
|
||||
"logs": "Using seed: 39461\n 0%| | 0/15 [00:00<?, ?it/s]\n 7%|▋ | 1/15 [00:01<00:21, 1.56s/it]\n 13%|█▎ | 2/15 [00:03<00:20, 1.56s/it]\n 20%|██ | 3/15 [00:04<00:18, 1.56s/it]\n 27%|██▋ | 4/15 [00:06<00:17, 1.56s/it]\n 33%|███▎ | 5/15 [00:07<00:15, 1.56s/it]\n 40%|████ | 6/15 [00:09<00:14, 1.56s/it]\n 47%|████▋ | 7/15 [00:10<00:12, 1.56s/it]\n 53%|█████▎ | 8/15 [00:12<00:10, 1.56s/it]\n 60%|██████ | 9/15 [00:14<00:09, 1.56s/it]\n 67%|██████▋ | 10/15 [00:15<00:07, 1.56s/it]\n 73%|███████▎ | 11/15 [00:17<00:06, 1.56s/it]\n 80%|████████ | 12/15 [00:18<00:04, 1.56s/it]\n 87%|████████▋ | 13/15 [00:20<00:03, 1.56s/it]\n 93%|█████████▎| 14/15 [00:21<00:01, 1.56s/it]\n100%|██████████| 15/15 [00:23<00:00, 1.56s/it]\n100%|██████████| 15/15 [00:23<00:00, 1.56s/it]",
|
||||
"error": null,
|
||||
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||||
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|
||||
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||||
},
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||||
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|
||||
"started_at": "2023-12-22T18:16:34.833305Z",
|
||||
"completed_at": "2023-12-22T18:17:05.407373Z",
|
||||
"urls": {
|
||||
"get": "https://api.replicate.com/v1/predictions/jmbdgg3btnpkdebjf3xincdepa",
|
||||
"cancel": "https://api.replicate.com/v1/predictions/jmbdgg3btnpkdebjf3xincdepa/cancel"
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||||
}
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||||
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||||
"latest_version": {
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||||
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|
||||
"created_at": "2023-12-22T18:11:38.655574+00:00",
|
||||
"cog_version": "0.8.6",
|
||||
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|
||||
"info": {
|
||||
"title": "Cog",
|
||||
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|
||||
},
|
||||
"paths": {
|
||||
"/": {
|
||||
"get": {
|
||||
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||||
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||||
"200": {
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||||
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||||
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||||
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||||
"title": "Response Root Get"
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||||
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||||
}
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||||
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||||
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||||
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||||
},
|
||||
"operationId": "root__get"
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||||
}
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||||
},
|
||||
"/shutdown": {
|
||||
"post": {
|
||||
"summary": "Start Shutdown",
|
||||
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||||
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||||
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||||
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||||
"schema": {
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||||
"title": "Response Start Shutdown Shutdown Post"
|
||||
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|
||||
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|
||||
},
|
||||
"description": "Successful Response"
|
||||
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|
||||
},
|
||||
"operationId": "start_shutdown_shutdown_post"
|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
}
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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|
||||
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||||
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|
||||
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||||
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|
||||
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|
||||
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|
||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
"/health-check": {
|
||||
"get": {
|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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||||
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||||
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|
||||
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||||
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||||
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|
||||
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||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
"/predictions/{prediction_id}": {
|
||||
"put": {
|
||||
"summary": "Predict Idempotent",
|
||||
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||||
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|
||||
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|
||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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|
||||
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||||
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||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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||||
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||||
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||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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||||
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||||
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|
||||
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|
||||
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|
||||
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|
||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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|
||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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||||
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||||
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||||
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|
||||
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||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
},
|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
},
|
||||
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|
||||
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|
||||
"title": "Steps",
|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
"x-order": 4,
|
||||
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|
||||
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|
||||
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|
||||
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|
||||
"title": "Guess Mode",
|
||||
"default": false,
|
||||
"x-order": 11,
|
||||
"description": "In this mode, the ControlNet encoder will try best to recognize the content of the input image even if you remove all prompts. The `guidance_scale` between 3.0 and 5.0 is recommended."
|
||||
},
|
||||
"resolution": {
|
||||
"allOf": [
|
||||
{
|
||||
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|
||||
}
|
||||
],
|
||||
"default": 2048,
|
||||
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|
||||
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|
||||
},
|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
"x-order": 3,
|
||||
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|
||||
},
|
||||
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|
||||
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|
||||
"title": "Guidance Scale",
|
||||
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|
||||
"maximum": 30,
|
||||
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|
||||
"x-order": 8,
|
||||
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|
||||
},
|
||||
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|
||||
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|
||||
"title": "Negative Prompt",
|
||||
"default": "teeth, tooth, open mouth, longbody, lowres, bad anatomy, bad hands, missing fingers, extra digit, fewer digits, cropped, worst quality, low quality, mutant",
|
||||
"x-order": 10,
|
||||
"description": "Negative prompt"
|
||||
}
|
||||
}
|
||||
},
|
||||
"Output": {
|
||||
"type": "array",
|
||||
"items": {
|
||||
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|
||||
"format": "uri"
|
||||
},
|
||||
"title": "Output"
|
||||
},
|
||||
"Status": {
|
||||
"enum": [
|
||||
"starting",
|
||||
"processing",
|
||||
"succeeded",
|
||||
"canceled",
|
||||
"failed"
|
||||
],
|
||||
"type": "string",
|
||||
"title": "Status",
|
||||
"description": "An enumeration."
|
||||
},
|
||||
"scheduler": {
|
||||
"enum": [
|
||||
"DDIM",
|
||||
"DPMSolverMultistep",
|
||||
"K_EULER_ANCESTRAL",
|
||||
"K_EULER"
|
||||
],
|
||||
"type": "string",
|
||||
"title": "scheduler",
|
||||
"description": "An enumeration."
|
||||
},
|
||||
"resolution": {
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||||
"enum": [
|
||||
2048,
|
||||
2560
|
||||
],
|
||||
"type": "integer",
|
||||
"title": "resolution",
|
||||
"description": "An enumeration."
|
||||
},
|
||||
"WebhookEvent": {
|
||||
"enum": [
|
||||
"start",
|
||||
"output",
|
||||
"logs",
|
||||
"completed"
|
||||
],
|
||||
"type": "string",
|
||||
"title": "WebhookEvent",
|
||||
"description": "An enumeration."
|
||||
},
|
||||
"ValidationError": {
|
||||
"type": "object",
|
||||
"title": "ValidationError",
|
||||
"required": [
|
||||
"loc",
|
||||
"msg",
|
||||
"type"
|
||||
],
|
||||
"properties": {
|
||||
"loc": {
|
||||
"type": "array",
|
||||
"items": {
|
||||
"anyOf": [
|
||||
{
|
||||
"type": "string"
|
||||
},
|
||||
{
|
||||
"type": "integer"
|
||||
}
|
||||
]
|
||||
},
|
||||
"title": "Location"
|
||||
},
|
||||
"msg": {
|
||||
"type": "string",
|
||||
"title": "Message"
|
||||
},
|
||||
"type": {
|
||||
"type": "string",
|
||||
"title": "Error Type"
|
||||
}
|
||||
}
|
||||
},
|
||||
"PredictionRequest": {
|
||||
"type": "object",
|
||||
"title": "PredictionRequest",
|
||||
"properties": {
|
||||
"id": {
|
||||
"type": "string",
|
||||
"title": "Id"
|
||||
},
|
||||
"input": {
|
||||
"$ref": "#/components/schemas/Input"
|
||||
},
|
||||
"webhook": {
|
||||
"type": "string",
|
||||
"title": "Webhook",
|
||||
"format": "uri",
|
||||
"maxLength": 65536,
|
||||
"minLength": 1
|
||||
},
|
||||
"created_at": {
|
||||
"type": "string",
|
||||
"title": "Created At",
|
||||
"format": "date-time"
|
||||
},
|
||||
"output_file_prefix": {
|
||||
"type": "string",
|
||||
"title": "Output File Prefix"
|
||||
},
|
||||
"webhook_events_filter": {
|
||||
"type": "array",
|
||||
"items": {
|
||||
"$ref": "#/components/schemas/WebhookEvent"
|
||||
},
|
||||
"default": [
|
||||
"start",
|
||||
"output",
|
||||
"logs",
|
||||
"completed"
|
||||
]
|
||||
}
|
||||
}
|
||||
},
|
||||
"PredictionResponse": {
|
||||
"type": "object",
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||||
"title": "PredictionResponse",
|
||||
"properties": {
|
||||
"id": {
|
||||
"type": "string",
|
||||
"title": "Id"
|
||||
},
|
||||
"logs": {
|
||||
"type": "string",
|
||||
"title": "Logs",
|
||||
"default": ""
|
||||
},
|
||||
"error": {
|
||||
"type": "string",
|
||||
"title": "Error"
|
||||
},
|
||||
"input": {
|
||||
"$ref": "#/components/schemas/Input"
|
||||
},
|
||||
"output": {
|
||||
"$ref": "#/components/schemas/Output"
|
||||
},
|
||||
"status": {
|
||||
"$ref": "#/components/schemas/Status"
|
||||
},
|
||||
"metrics": {
|
||||
"type": "object",
|
||||
"title": "Metrics"
|
||||
},
|
||||
"version": {
|
||||
"type": "string",
|
||||
"title": "Version"
|
||||
},
|
||||
"created_at": {
|
||||
"type": "string",
|
||||
"title": "Created At",
|
||||
"format": "date-time"
|
||||
},
|
||||
"started_at": {
|
||||
"type": "string",
|
||||
"title": "Started At",
|
||||
"format": "date-time"
|
||||
},
|
||||
"completed_at": {
|
||||
"type": "string",
|
||||
"title": "Completed At",
|
||||
"format": "date-time"
|
||||
}
|
||||
}
|
||||
},
|
||||
"HTTPValidationError": {
|
||||
"type": "object",
|
||||
"title": "HTTPValidationError",
|
||||
"properties": {
|
||||
"detail": {
|
||||
"type": "array",
|
||||
"items": {
|
||||
"$ref": "#/components/schemas/ValidationError"
|
||||
},
|
||||
"title": "Detail"
|
||||
}
|
||||
}
|
||||
}
|
||||
}
|
||||
}
|
||||
}
|
||||
}
|
||||
}
|
||||
@@ -0,0 +1,571 @@
|
||||
{
|
||||
"url": "https://replicate.com/batouresearch/magic-image-refiner",
|
||||
"owner": "batouresearch",
|
||||
"name": "magic-image-refiner",
|
||||
"description": "A better alternative to SDXL refiners, providing a lot of quality and detail. Can also be used for inpainting or upscaling.",
|
||||
"visibility": "public",
|
||||
"github_url": "https://github.com/BatouResearch/magic-image-refiner",
|
||||
"paper_url": null,
|
||||
"license_url": null,
|
||||
"run_count": 737101,
|
||||
"cover_image_url": "https://replicate.delivery/pbxt/H3ZmqoAgsBonKFilPafiEsvYsc2FnjD8EW3vMt6KpkYfd0ISA/out-0.png",
|
||||
"default_example": {
|
||||
"id": "zyaw3gdbhd46blbbctgzsiiice",
|
||||
"model": "batouresearch/magic-image-refiner",
|
||||
"version": "3064c8a3a831c0048031669a4a3bf3a7fe454a4d995897fc33e66ec5506ea74a",
|
||||
"status": "succeeded",
|
||||
"input": {
|
||||
"hdr": 0,
|
||||
"image": "https://replicate.delivery/pbxt/KA9yP9n3ZX5A5mkoPz3gsPzKTH1NA7LqVkQRTg7Sov46lOfo/0_1.webp",
|
||||
"steps": 20,
|
||||
"prompt": "UHD 4k vogue, a woman resting in a magic pool, face above the surface of the water, red freckles",
|
||||
"scheduler": "DDIM",
|
||||
"creativity": 0.25,
|
||||
"guess_mode": false,
|
||||
"resolution": "original",
|
||||
"resemblance": 0.75,
|
||||
"guidance_scale": 7,
|
||||
"negative_prompt": "teeth, tooth, open mouth, longbody, lowres, bad anatomy, bad hands, missing fingers, extra digit, fewer digits, cropped, worst quality, low quality, mutant"
|
||||
},
|
||||
"output": [
|
||||
"https://replicate.delivery/pbxt/H3ZmqoAgsBonKFilPafiEsvYsc2FnjD8EW3vMt6KpkYfd0ISA/out-0.png"
|
||||
],
|
||||
"logs": "Using seed: 17908\n 0%| | 0/5 [00:00<?, ?it/s]\n 20%|██ | 1/5 [00:00<00:01, 3.82it/s]\n 40%|████ | 2/5 [00:00<00:00, 3.81it/s]\n 60%|██████ | 3/5 [00:00<00:00, 3.81it/s]\n 80%|████████ | 4/5 [00:01<00:00, 3.81it/s]\n100%|██████████| 5/5 [00:01<00:00, 3.81it/s]\n100%|██████████| 5/5 [00:01<00:00, 3.81it/s]",
|
||||
"error": null,
|
||||
"metrics": {
|
||||
"predict_time": 3.42507,
|
||||
"total_time": 3.454188
|
||||
},
|
||||
"created_at": "2024-01-03T17:12:27.719471Z",
|
||||
"started_at": "2024-01-03T17:12:27.748589Z",
|
||||
"completed_at": "2024-01-03T17:12:31.173659Z",
|
||||
"urls": {
|
||||
"get": "https://api.replicate.com/v1/predictions/zyaw3gdbhd46blbbctgzsiiice",
|
||||
"cancel": "https://api.replicate.com/v1/predictions/zyaw3gdbhd46blbbctgzsiiice/cancel"
|
||||
}
|
||||
},
|
||||
"latest_version": {
|
||||
"id": "507ddf6f977a7e30e46c0daefd30de7d563c72322f9e4cf7cbac52ef0f667b13",
|
||||
"created_at": "2024-01-31T14:16:36.395622+00:00",
|
||||
"cog_version": "0.8.6",
|
||||
"openapi_schema": {
|
||||
"info": {
|
||||
"title": "Cog",
|
||||
"version": "0.1.0"
|
||||
},
|
||||
"paths": {
|
||||
"/": {
|
||||
"get": {
|
||||
"summary": "Root",
|
||||
"responses": {
|
||||
"200": {
|
||||
"content": {
|
||||
"application/json": {
|
||||
"schema": {
|
||||
"title": "Response Root Get"
|
||||
}
|
||||
}
|
||||
},
|
||||
"description": "Successful Response"
|
||||
}
|
||||
},
|
||||
"operationId": "root__get"
|
||||
}
|
||||
},
|
||||
"/shutdown": {
|
||||
"post": {
|
||||
"summary": "Start Shutdown",
|
||||
"responses": {
|
||||
"200": {
|
||||
"content": {
|
||||
"application/json": {
|
||||
"schema": {
|
||||
"title": "Response Start Shutdown Shutdown Post"
|
||||
}
|
||||
}
|
||||
},
|
||||
"description": "Successful Response"
|
||||
}
|
||||
},
|
||||
"operationId": "start_shutdown_shutdown_post"
|
||||
}
|
||||
},
|
||||
"/predictions": {
|
||||
"post": {
|
||||
"summary": "Predict",
|
||||
"responses": {
|
||||
"200": {
|
||||
"content": {
|
||||
"application/json": {
|
||||
"schema": {
|
||||
"$ref": "#/components/schemas/PredictionResponse"
|
||||
}
|
||||
}
|
||||
},
|
||||
"description": "Successful Response"
|
||||
},
|
||||
"422": {
|
||||
"content": {
|
||||
"application/json": {
|
||||
"schema": {
|
||||
"$ref": "#/components/schemas/HTTPValidationError"
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||||
}
|
||||
}
|
||||
},
|
||||
"description": "Validation Error"
|
||||
}
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||||
},
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||||
"parameters": [
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||||
{
|
||||
"in": "header",
|
||||
"name": "prefer",
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||||
"schema": {
|
||||
"type": "string",
|
||||
"title": "Prefer"
|
||||
},
|
||||
"required": false
|
||||
}
|
||||
],
|
||||
"description": "Run a single prediction on the model",
|
||||
"operationId": "predict_predictions_post",
|
||||
"requestBody": {
|
||||
"content": {
|
||||
"application/json": {
|
||||
"schema": {
|
||||
"$ref": "#/components/schemas/PredictionRequest"
|
||||
}
|
||||
}
|
||||
}
|
||||
}
|
||||
}
|
||||
},
|
||||
"/health-check": {
|
||||
"get": {
|
||||
"summary": "Healthcheck",
|
||||
"responses": {
|
||||
"200": {
|
||||
"content": {
|
||||
"application/json": {
|
||||
"schema": {
|
||||
"title": "Response Healthcheck Health Check Get"
|
||||
}
|
||||
}
|
||||
},
|
||||
"description": "Successful Response"
|
||||
}
|
||||
},
|
||||
"operationId": "healthcheck_health_check_get"
|
||||
}
|
||||
},
|
||||
"/predictions/{prediction_id}": {
|
||||
"put": {
|
||||
"summary": "Predict Idempotent",
|
||||
"responses": {
|
||||
"200": {
|
||||
"content": {
|
||||
"application/json": {
|
||||
"schema": {
|
||||
"$ref": "#/components/schemas/PredictionResponse"
|
||||
}
|
||||
}
|
||||
},
|
||||
"description": "Successful Response"
|
||||
},
|
||||
"422": {
|
||||
"content": {
|
||||
"application/json": {
|
||||
"schema": {
|
||||
"$ref": "#/components/schemas/HTTPValidationError"
|
||||
}
|
||||
}
|
||||
},
|
||||
"description": "Validation Error"
|
||||
}
|
||||
},
|
||||
"parameters": [
|
||||
{
|
||||
"in": "path",
|
||||
"name": "prediction_id",
|
||||
"schema": {
|
||||
"type": "string",
|
||||
"title": "Prediction ID"
|
||||
},
|
||||
"required": true
|
||||
},
|
||||
{
|
||||
"in": "header",
|
||||
"name": "prefer",
|
||||
"schema": {
|
||||
"type": "string",
|
||||
"title": "Prefer"
|
||||
},
|
||||
"required": false
|
||||
}
|
||||
],
|
||||
"description": "Run a single prediction on the model (idempotent creation).",
|
||||
"operationId": "predict_idempotent_predictions__prediction_id__put",
|
||||
"requestBody": {
|
||||
"content": {
|
||||
"application/json": {
|
||||
"schema": {
|
||||
"allOf": [
|
||||
{
|
||||
"$ref": "#/components/schemas/PredictionRequest"
|
||||
}
|
||||
],
|
||||
"title": "Prediction Request"
|
||||
}
|
||||
}
|
||||
},
|
||||
"required": true
|
||||
}
|
||||
}
|
||||
},
|
||||
"/predictions/{prediction_id}/cancel": {
|
||||
"post": {
|
||||
"summary": "Cancel",
|
||||
"responses": {
|
||||
"200": {
|
||||
"content": {
|
||||
"application/json": {
|
||||
"schema": {
|
||||
"title": "Response Cancel Predictions Prediction Id Cancel Post"
|
||||
}
|
||||
}
|
||||
},
|
||||
"description": "Successful Response"
|
||||
},
|
||||
"422": {
|
||||
"content": {
|
||||
"application/json": {
|
||||
"schema": {
|
||||
"$ref": "#/components/schemas/HTTPValidationError"
|
||||
}
|
||||
}
|
||||
},
|
||||
"description": "Validation Error"
|
||||
}
|
||||
},
|
||||
"parameters": [
|
||||
{
|
||||
"in": "path",
|
||||
"name": "prediction_id",
|
||||
"schema": {
|
||||
"type": "string",
|
||||
"title": "Prediction ID"
|
||||
},
|
||||
"required": true
|
||||
}
|
||||
],
|
||||
"description": "Cancel a running prediction",
|
||||
"operationId": "cancel_predictions__prediction_id__cancel_post"
|
||||
}
|
||||
}
|
||||
},
|
||||
"openapi": "3.0.2",
|
||||
"components": {
|
||||
"schemas": {
|
||||
"Input": {
|
||||
"type": "object",
|
||||
"title": "Input",
|
||||
"properties": {
|
||||
"hdr": {
|
||||
"type": "number",
|
||||
"title": "Hdr",
|
||||
"default": 0,
|
||||
"maximum": 1,
|
||||
"minimum": 0,
|
||||
"x-order": 6,
|
||||
"description": "HDR improvement over the original image"
|
||||
},
|
||||
"mask": {
|
||||
"type": "string",
|
||||
"title": "Mask",
|
||||
"format": "uri",
|
||||
"x-order": 2,
|
||||
"description": "When provided, refines some section of the image. Must be the same size as the image"
|
||||
},
|
||||
"seed": {
|
||||
"type": "integer",
|
||||
"title": "Seed",
|
||||
"x-order": 10,
|
||||
"description": "Seed"
|
||||
},
|
||||
"image": {
|
||||
"type": "string",
|
||||
"title": "Image",
|
||||
"format": "uri",
|
||||
"x-order": 1,
|
||||
"description": "Image to refine"
|
||||
},
|
||||
"steps": {
|
||||
"type": "integer",
|
||||
"title": "Steps",
|
||||
"default": 20,
|
||||
"x-order": 8,
|
||||
"description": "Steps"
|
||||
},
|
||||
"prompt": {
|
||||
"type": "string",
|
||||
"title": "Prompt",
|
||||
"x-order": 0,
|
||||
"description": "Prompt for the model"
|
||||
},
|
||||
"scheduler": {
|
||||
"allOf": [
|
||||
{
|
||||
"$ref": "#/components/schemas/scheduler"
|
||||
}
|
||||
],
|
||||
"default": "DDIM",
|
||||
"x-order": 7,
|
||||
"description": "Choose a scheduler."
|
||||
},
|
||||
"creativity": {
|
||||
"type": "number",
|
||||
"title": "Creativity",
|
||||
"default": 0.25,
|
||||
"maximum": 1,
|
||||
"minimum": 0,
|
||||
"x-order": 5,
|
||||
"description": "Denoising strength. 1 means total destruction of the original image"
|
||||
},
|
||||
"guess_mode": {
|
||||
"type": "boolean",
|
||||
"title": "Guess Mode",
|
||||
"default": false,
|
||||
"x-order": 12,
|
||||
"description": "In this mode, the ControlNet encoder will try best to recognize the content of the input image even if you remove all prompts. The `guidance_scale` between 3.0 and 5.0 is recommended."
|
||||
},
|
||||
"resolution": {
|
||||
"allOf": [
|
||||
{
|
||||
"$ref": "#/components/schemas/resolution"
|
||||
}
|
||||
],
|
||||
"default": "original",
|
||||
"x-order": 3,
|
||||
"description": "Image resolution"
|
||||
},
|
||||
"resemblance": {
|
||||
"type": "number",
|
||||
"title": "Resemblance",
|
||||
"default": 0.75,
|
||||
"maximum": 1,
|
||||
"minimum": 0,
|
||||
"x-order": 4,
|
||||
"description": "Conditioning scale for controlnet"
|
||||
},
|
||||
"guidance_scale": {
|
||||
"type": "number",
|
||||
"title": "Guidance Scale",
|
||||
"default": 7,
|
||||
"maximum": 30,
|
||||
"minimum": 0.1,
|
||||
"x-order": 9,
|
||||
"description": "Scale for classifier-free guidance"
|
||||
},
|
||||
"negative_prompt": {
|
||||
"type": "string",
|
||||
"title": "Negative Prompt",
|
||||
"default": "teeth, tooth, open mouth, longbody, lowres, bad anatomy, bad hands, missing fingers, extra digit, fewer digits, cropped, worst quality, low quality, mutant",
|
||||
"x-order": 11,
|
||||
"description": "Negative prompt"
|
||||
}
|
||||
}
|
||||
},
|
||||
"Output": {
|
||||
"type": "array",
|
||||
"items": {
|
||||
"type": "string",
|
||||
"format": "uri"
|
||||
},
|
||||
"title": "Output"
|
||||
},
|
||||
"Status": {
|
||||
"enum": [
|
||||
"starting",
|
||||
"processing",
|
||||
"succeeded",
|
||||
"canceled",
|
||||
"failed"
|
||||
],
|
||||
"type": "string",
|
||||
"title": "Status",
|
||||
"description": "An enumeration."
|
||||
},
|
||||
"scheduler": {
|
||||
"enum": [
|
||||
"DDIM",
|
||||
"DPMSolverMultistep",
|
||||
"K_EULER_ANCESTRAL",
|
||||
"K_EULER"
|
||||
],
|
||||
"type": "string",
|
||||
"title": "scheduler",
|
||||
"description": "An enumeration."
|
||||
},
|
||||
"resolution": {
|
||||
"enum": [
|
||||
"original",
|
||||
"1024",
|
||||
"2048"
|
||||
],
|
||||
"type": "string",
|
||||
"title": "resolution",
|
||||
"description": "An enumeration."
|
||||
},
|
||||
"WebhookEvent": {
|
||||
"enum": [
|
||||
"start",
|
||||
"output",
|
||||
"logs",
|
||||
"completed"
|
||||
],
|
||||
"type": "string",
|
||||
"title": "WebhookEvent",
|
||||
"description": "An enumeration."
|
||||
},
|
||||
"ValidationError": {
|
||||
"type": "object",
|
||||
"title": "ValidationError",
|
||||
"required": [
|
||||
"loc",
|
||||
"msg",
|
||||
"type"
|
||||
],
|
||||
"properties": {
|
||||
"loc": {
|
||||
"type": "array",
|
||||
"items": {
|
||||
"anyOf": [
|
||||
{
|
||||
"type": "string"
|
||||
},
|
||||
{
|
||||
"type": "integer"
|
||||
}
|
||||
]
|
||||
},
|
||||
"title": "Location"
|
||||
},
|
||||
"msg": {
|
||||
"type": "string",
|
||||
"title": "Message"
|
||||
},
|
||||
"type": {
|
||||
"type": "string",
|
||||
"title": "Error Type"
|
||||
}
|
||||
}
|
||||
},
|
||||
"PredictionRequest": {
|
||||
"type": "object",
|
||||
"title": "PredictionRequest",
|
||||
"properties": {
|
||||
"id": {
|
||||
"type": "string",
|
||||
"title": "Id"
|
||||
},
|
||||
"input": {
|
||||
"$ref": "#/components/schemas/Input"
|
||||
},
|
||||
"webhook": {
|
||||
"type": "string",
|
||||
"title": "Webhook",
|
||||
"format": "uri",
|
||||
"maxLength": 65536,
|
||||
"minLength": 1
|
||||
},
|
||||
"created_at": {
|
||||
"type": "string",
|
||||
"title": "Created At",
|
||||
"format": "date-time"
|
||||
},
|
||||
"output_file_prefix": {
|
||||
"type": "string",
|
||||
"title": "Output File Prefix"
|
||||
},
|
||||
"webhook_events_filter": {
|
||||
"type": "array",
|
||||
"items": {
|
||||
"$ref": "#/components/schemas/WebhookEvent"
|
||||
},
|
||||
"default": [
|
||||
"start",
|
||||
"output",
|
||||
"logs",
|
||||
"completed"
|
||||
]
|
||||
}
|
||||
}
|
||||
},
|
||||
"PredictionResponse": {
|
||||
"type": "object",
|
||||
"title": "PredictionResponse",
|
||||
"properties": {
|
||||
"id": {
|
||||
"type": "string",
|
||||
"title": "Id"
|
||||
},
|
||||
"logs": {
|
||||
"type": "string",
|
||||
"title": "Logs",
|
||||
"default": ""
|
||||
},
|
||||
"error": {
|
||||
"type": "string",
|
||||
"title": "Error"
|
||||
},
|
||||
"input": {
|
||||
"$ref": "#/components/schemas/Input"
|
||||
},
|
||||
"output": {
|
||||
"$ref": "#/components/schemas/Output"
|
||||
},
|
||||
"status": {
|
||||
"$ref": "#/components/schemas/Status"
|
||||
},
|
||||
"metrics": {
|
||||
"type": "object",
|
||||
"title": "Metrics"
|
||||
},
|
||||
"version": {
|
||||
"type": "string",
|
||||
"title": "Version"
|
||||
},
|
||||
"created_at": {
|
||||
"type": "string",
|
||||
"title": "Created At",
|
||||
"format": "date-time"
|
||||
},
|
||||
"started_at": {
|
||||
"type": "string",
|
||||
"title": "Started At",
|
||||
"format": "date-time"
|
||||
},
|
||||
"completed_at": {
|
||||
"type": "string",
|
||||
"title": "Completed At",
|
||||
"format": "date-time"
|
||||
}
|
||||
}
|
||||
},
|
||||
"HTTPValidationError": {
|
||||
"type": "object",
|
||||
"title": "HTTPValidationError",
|
||||
"properties": {
|
||||
"detail": {
|
||||
"type": "array",
|
||||
"items": {
|
||||
"$ref": "#/components/schemas/ValidationError"
|
||||
},
|
||||
"title": "Detail"
|
||||
}
|
||||
}
|
||||
}
|
||||
}
|
||||
}
|
||||
}
|
||||
}
|
||||
}
|
||||
@@ -0,0 +1,611 @@
|
||||
{
|
||||
"url": "https://replicate.com/batouresearch/magic-style-transfer",
|
||||
"owner": "batouresearch",
|
||||
"name": "magic-style-transfer",
|
||||
"description": "Restyle an image with the style of another one. I strongly suggest to upscale the results with Clarity AI",
|
||||
"visibility": "public",
|
||||
"github_url": "https://github.com/BatouResearch/Cog-Face-to-Anything/tree/magic-style-transfer",
|
||||
"paper_url": null,
|
||||
"license_url": null,
|
||||
"run_count": 3724,
|
||||
"cover_image_url": "https://replicate.delivery/pbxt/CgdTGuA9wdoWGhVUMgpPIv9mh4rpLnYYViUmeLKV8wF2QGRJA/out-0.png",
|
||||
"default_example": {
|
||||
"id": "imodeq3bqxpre5bebcdqoi75l4",
|
||||
"model": "batouresearch/magic-style-transfer",
|
||||
"version": "3b5fa5d360c361090f11164292e45cc5d14cea8d089591d47c580cac9ec1c7ca",
|
||||
"status": "succeeded",
|
||||
"input": {
|
||||
"image": "https://replicate.delivery/pbxt/KbUKCMMihGkSc5MXYYYkjEI6hlf1GNmGgwugu6JfSQATqiCN/3d.jpeg",
|
||||
"prompt": "modern interior living room",
|
||||
"ip_image": "https://replicate.delivery/pbxt/KbUKD3uoQjyTzdWbeAqYrypl0RWVJc0gI5UHHa3yYWNaqIoc/DALL%C2%B7E%202024-03-20%2017.57.33%20-%20Create%20a%20professional%20photograph%20of%20a%20modern%20interior%20design.%20This%20image%20should%20capture%20a%20living%20room%20space%20that%20combines%20contemporary%20elegance%20with%20c.webp",
|
||||
"ip_scale": 1,
|
||||
"strength": 1,
|
||||
"scheduler": "K_EULER",
|
||||
"lora_scale": 0.9,
|
||||
"num_outputs": 1,
|
||||
"guidance_scale": 4,
|
||||
"resizing_scale": 1,
|
||||
"apply_watermark": true,
|
||||
"negative_prompt": "",
|
||||
"background_color": "#A2A2A2",
|
||||
"num_inference_steps": 30,
|
||||
"condition_canny_scale": 0.5,
|
||||
"condition_depth_scale": 0.5
|
||||
},
|
||||
"output": [
|
||||
"https://replicate.delivery/pbxt/CgdTGuA9wdoWGhVUMgpPIv9mh4rpLnYYViUmeLKV8wF2QGRJA/out-0.png"
|
||||
],
|
||||
"logs": "Using seed: 28214\nPrompt: modern interior living room\nOriginal width:1024, height:1024\nAspect Ratio: 1.00\nnew_width:1024, new_height:1024\nYou have 2 ControlNets and you have passed 1 prompts. The conditionings will be fixed across the prompts.\n 0%| | 0/30 [00:00<?, ?it/s]\n 3%|▎ | 1/30 [00:00<00:13, 2.17it/s]\n 7%|▋ | 2/30 [00:00<00:10, 2.69it/s]\n 10%|█ | 3/30 [00:01<00:10, 2.59it/s]\n 13%|█▎ | 4/30 [00:01<00:10, 2.55it/s]\n 17%|█▋ | 5/30 [00:01<00:09, 2.52it/s]\n 20%|██ | 6/30 [00:02<00:09, 2.51it/s]\n 23%|██▎ | 7/30 [00:02<00:09, 2.50it/s]\n 27%|██▋ | 8/30 [00:03<00:08, 2.49it/s]\n 30%|███ | 9/30 [00:03<00:08, 2.49it/s]\n 33%|███▎ | 10/30 [00:03<00:08, 2.49it/s]\n 37%|███▋ | 11/30 [00:04<00:07, 2.49it/s]\n 40%|████ | 12/30 [00:04<00:07, 2.49it/s]\n 43%|████▎ | 13/30 [00:05<00:06, 2.49it/s]\n 47%|████▋ | 14/30 [00:05<00:06, 2.49it/s]\n 50%|█████ | 15/30 [00:05<00:06, 2.49it/s]\n 53%|█████▎ | 16/30 [00:06<00:05, 2.49it/s]\n 57%|█████▋ | 17/30 [00:06<00:05, 2.48it/s]\n 60%|██████ | 18/30 [00:07<00:04, 2.48it/s]\n 63%|██████▎ | 19/30 [00:07<00:04, 2.48it/s]\n 67%|██████▋ | 20/30 [00:08<00:04, 2.49it/s]\n 70%|███████ | 21/30 [00:08<00:03, 2.48it/s]\n 73%|███████▎ | 22/30 [00:08<00:03, 2.49it/s]\n 77%|███████▋ | 23/30 [00:09<00:02, 2.49it/s]\n 80%|████████ | 24/30 [00:09<00:02, 2.49it/s]\n 83%|████████▎ | 25/30 [00:10<00:02, 2.49it/s]\n 87%|████████▋ | 26/30 [00:10<00:01, 2.49it/s]\n 90%|█████████ | 27/30 [00:10<00:01, 2.49it/s]\n 93%|█████████▎| 28/30 [00:11<00:00, 2.49it/s]\n 97%|█████████▋| 29/30 [00:11<00:00, 2.49it/s]\n100%|██████████| 30/30 [00:12<00:00, 2.49it/s]\n100%|██████████| 30/30 [00:12<00:00, 2.49it/s]",
|
||||
"error": null,
|
||||
"metrics": {
|
||||
"predict_time": 14.568553,
|
||||
"total_time": 168.721412
|
||||
},
|
||||
"created_at": "2024-03-20T16:58:43.897037Z",
|
||||
"started_at": "2024-03-20T17:01:18.049896Z",
|
||||
"completed_at": "2024-03-20T17:01:32.618449Z",
|
||||
"urls": {
|
||||
"get": "https://api.replicate.com/v1/predictions/imodeq3bqxpre5bebcdqoi75l4",
|
||||
"cancel": "https://api.replicate.com/v1/predictions/imodeq3bqxpre5bebcdqoi75l4/cancel"
|
||||
}
|
||||
},
|
||||
"latest_version": {
|
||||
"id": "3b5fa5d360c361090f11164292e45cc5d14cea8d089591d47c580cac9ec1c7ca",
|
||||
"created_at": "2024-03-20T16:29:29.505365+00:00",
|
||||
"cog_version": "0.9.5",
|
||||
"openapi_schema": {
|
||||
"info": {
|
||||
"title": "Cog",
|
||||
"version": "0.1.0"
|
||||
},
|
||||
"paths": {
|
||||
"/": {
|
||||
"get": {
|
||||
"summary": "Root",
|
||||
"responses": {
|
||||
"200": {
|
||||
"content": {
|
||||
"application/json": {
|
||||
"schema": {
|
||||
"title": "Response Root Get"
|
||||
}
|
||||
}
|
||||
},
|
||||
"description": "Successful Response"
|
||||
}
|
||||
},
|
||||
"operationId": "root__get"
|
||||
}
|
||||
},
|
||||
"/shutdown": {
|
||||
"post": {
|
||||
"summary": "Start Shutdown",
|
||||
"responses": {
|
||||
"200": {
|
||||
"content": {
|
||||
"application/json": {
|
||||
"schema": {
|
||||
"title": "Response Start Shutdown Shutdown Post"
|
||||
}
|
||||
}
|
||||
},
|
||||
"description": "Successful Response"
|
||||
}
|
||||
},
|
||||
"operationId": "start_shutdown_shutdown_post"
|
||||
}
|
||||
},
|
||||
"/predictions": {
|
||||
"post": {
|
||||
"summary": "Predict",
|
||||
"responses": {
|
||||
"200": {
|
||||
"content": {
|
||||
"application/json": {
|
||||
"schema": {
|
||||
"$ref": "#/components/schemas/PredictionResponse"
|
||||
}
|
||||
}
|
||||
},
|
||||
"description": "Successful Response"
|
||||
},
|
||||
"422": {
|
||||
"content": {
|
||||
"application/json": {
|
||||
"schema": {
|
||||
"$ref": "#/components/schemas/HTTPValidationError"
|
||||
}
|
||||
}
|
||||
},
|
||||
"description": "Validation Error"
|
||||
}
|
||||
},
|
||||
"parameters": [
|
||||
{
|
||||
"in": "header",
|
||||
"name": "prefer",
|
||||
"schema": {
|
||||
"type": "string",
|
||||
"title": "Prefer"
|
||||
},
|
||||
"required": false
|
||||
}
|
||||
],
|
||||
"description": "Run a single prediction on the model",
|
||||
"operationId": "predict_predictions_post",
|
||||
"requestBody": {
|
||||
"content": {
|
||||
"application/json": {
|
||||
"schema": {
|
||||
"$ref": "#/components/schemas/PredictionRequest"
|
||||
}
|
||||
}
|
||||
}
|
||||
}
|
||||
}
|
||||
},
|
||||
"/health-check": {
|
||||
"get": {
|
||||
"summary": "Healthcheck",
|
||||
"responses": {
|
||||
"200": {
|
||||
"content": {
|
||||
"application/json": {
|
||||
"schema": {
|
||||
"title": "Response Healthcheck Health Check Get"
|
||||
}
|
||||
}
|
||||
},
|
||||
"description": "Successful Response"
|
||||
}
|
||||
},
|
||||
"operationId": "healthcheck_health_check_get"
|
||||
}
|
||||
},
|
||||
"/predictions/{prediction_id}": {
|
||||
"put": {
|
||||
"summary": "Predict Idempotent",
|
||||
"responses": {
|
||||
"200": {
|
||||
"content": {
|
||||
"application/json": {
|
||||
"schema": {
|
||||
"$ref": "#/components/schemas/PredictionResponse"
|
||||
}
|
||||
}
|
||||
},
|
||||
"description": "Successful Response"
|
||||
},
|
||||
"422": {
|
||||
"content": {
|
||||
"application/json": {
|
||||
"schema": {
|
||||
"$ref": "#/components/schemas/HTTPValidationError"
|
||||
}
|
||||
}
|
||||
},
|
||||
"description": "Validation Error"
|
||||
}
|
||||
},
|
||||
"parameters": [
|
||||
{
|
||||
"in": "path",
|
||||
"name": "prediction_id",
|
||||
"schema": {
|
||||
"type": "string",
|
||||
"title": "Prediction ID"
|
||||
},
|
||||
"required": true
|
||||
},
|
||||
{
|
||||
"in": "header",
|
||||
"name": "prefer",
|
||||
"schema": {
|
||||
"type": "string",
|
||||
"title": "Prefer"
|
||||
},
|
||||
"required": false
|
||||
}
|
||||
],
|
||||
"description": "Run a single prediction on the model (idempotent creation).",
|
||||
"operationId": "predict_idempotent_predictions__prediction_id__put",
|
||||
"requestBody": {
|
||||
"content": {
|
||||
"application/json": {
|
||||
"schema": {
|
||||
"allOf": [
|
||||
{
|
||||
"$ref": "#/components/schemas/PredictionRequest"
|
||||
}
|
||||
],
|
||||
"title": "Prediction Request"
|
||||
}
|
||||
}
|
||||
},
|
||||
"required": true
|
||||
}
|
||||
}
|
||||
},
|
||||
"/predictions/{prediction_id}/cancel": {
|
||||
"post": {
|
||||
"summary": "Cancel",
|
||||
"responses": {
|
||||
"200": {
|
||||
"content": {
|
||||
"application/json": {
|
||||
"schema": {
|
||||
"title": "Response Cancel Predictions Prediction Id Cancel Post"
|
||||
}
|
||||
}
|
||||
},
|
||||
"description": "Successful Response"
|
||||
},
|
||||
"422": {
|
||||
"content": {
|
||||
"application/json": {
|
||||
"schema": {
|
||||
"$ref": "#/components/schemas/HTTPValidationError"
|
||||
}
|
||||
}
|
||||
},
|
||||
"description": "Validation Error"
|
||||
}
|
||||
},
|
||||
"parameters": [
|
||||
{
|
||||
"in": "path",
|
||||
"name": "prediction_id",
|
||||
"schema": {
|
||||
"type": "string",
|
||||
"title": "Prediction ID"
|
||||
},
|
||||
"required": true
|
||||
}
|
||||
],
|
||||
"description": "Cancel a running prediction",
|
||||
"operationId": "cancel_predictions__prediction_id__cancel_post"
|
||||
}
|
||||
}
|
||||
},
|
||||
"openapi": "3.0.2",
|
||||
"components": {
|
||||
"schemas": {
|
||||
"Input": {
|
||||
"type": "object",
|
||||
"title": "Input",
|
||||
"properties": {
|
||||
"seed": {
|
||||
"type": "integer",
|
||||
"title": "Seed",
|
||||
"x-order": 15,
|
||||
"description": "Random seed. Leave blank to randomize the seed"
|
||||
},
|
||||
"image": {
|
||||
"type": "string",
|
||||
"title": "Image",
|
||||
"format": "uri",
|
||||
"x-order": 1,
|
||||
"description": "Input image"
|
||||
},
|
||||
"prompt": {
|
||||
"type": "string",
|
||||
"title": "Prompt",
|
||||
"default": "An astronaut riding a rainbow unicorn",
|
||||
"x-order": 0,
|
||||
"description": "Input prompt"
|
||||
},
|
||||
"ip_image": {
|
||||
"type": "string",
|
||||
"title": "Ip Image",
|
||||
"format": "uri",
|
||||
"x-order": 2,
|
||||
"description": "Input image for img2img or inpaint mode"
|
||||
},
|
||||
"ip_scale": {
|
||||
"type": "number",
|
||||
"title": "Ip Scale",
|
||||
"default": 0.3,
|
||||
"maximum": 1,
|
||||
"minimum": 0,
|
||||
"x-order": 6,
|
||||
"description": "IP Adapter strength."
|
||||
},
|
||||
"strength": {
|
||||
"type": "number",
|
||||
"title": "Strength",
|
||||
"default": 0.9,
|
||||
"maximum": 1,
|
||||
"minimum": 0,
|
||||
"x-order": 7,
|
||||
"description": "When img2img is active, the denoising strength. 1 means total destruction of the input image."
|
||||
},
|
||||
"scheduler": {
|
||||
"allOf": [
|
||||
{
|
||||
"$ref": "#/components/schemas/scheduler"
|
||||
}
|
||||
],
|
||||
"default": "K_EULER",
|
||||
"x-order": 13,
|
||||
"description": "scheduler"
|
||||
},
|
||||
"lora_scale": {
|
||||
"type": "number",
|
||||
"title": "Lora Scale",
|
||||
"default": 0.9,
|
||||
"maximum": 1,
|
||||
"minimum": 0,
|
||||
"x-order": 5,
|
||||
"description": "LoRA additive scale. Only applicable on trained models."
|
||||
},
|
||||
"num_outputs": {
|
||||
"type": "integer",
|
||||
"title": "Num Outputs",
|
||||
"default": 1,
|
||||
"maximum": 4,
|
||||
"minimum": 1,
|
||||
"x-order": 12,
|
||||
"description": "Number of images to output"
|
||||
},
|
||||
"lora_weights": {
|
||||
"type": "string",
|
||||
"title": "Lora Weights",
|
||||
"x-order": 17,
|
||||
"description": "Replicate LoRA weights to use. Leave blank to use the default weights."
|
||||
},
|
||||
"guidance_scale": {
|
||||
"type": "number",
|
||||
"title": "Guidance Scale",
|
||||
"default": 4,
|
||||
"maximum": 50,
|
||||
"minimum": 1,
|
||||
"x-order": 14,
|
||||
"description": "Scale for classifier-free guidance"
|
||||
},
|
||||
"resizing_scale": {
|
||||
"type": "number",
|
||||
"title": "Resizing Scale",
|
||||
"default": 1,
|
||||
"maximum": 10,
|
||||
"minimum": 1,
|
||||
"x-order": 10,
|
||||
"description": "If you want the image to have a solid margin. Scale of the solid margin. 1.0 means no resizing."
|
||||
},
|
||||
"apply_watermark": {
|
||||
"type": "boolean",
|
||||
"title": "Apply Watermark",
|
||||
"default": true,
|
||||
"x-order": 16,
|
||||
"description": "Applies a watermark to enable determining if an image is generated in downstream applications. If you have other provisions for generating or deploying images safely, you can use this to disable watermarking."
|
||||
},
|
||||
"negative_prompt": {
|
||||
"type": "string",
|
||||
"title": "Negative Prompt",
|
||||
"default": "",
|
||||
"x-order": 8,
|
||||
"description": "Input Negative Prompt"
|
||||
},
|
||||
"background_color": {
|
||||
"type": "string",
|
||||
"title": "Background Color",
|
||||
"default": "#A2A2A2",
|
||||
"x-order": 9,
|
||||
"description": "When passing an image with alpha channel, it will be replaced with this color"
|
||||
},
|
||||
"num_inference_steps": {
|
||||
"type": "integer",
|
||||
"title": "Num Inference Steps",
|
||||
"default": 30,
|
||||
"maximum": 500,
|
||||
"minimum": 1,
|
||||
"x-order": 11,
|
||||
"description": "Number of denoising steps"
|
||||
},
|
||||
"condition_canny_scale": {
|
||||
"type": "number",
|
||||
"title": "Condition Canny Scale",
|
||||
"default": 0.15,
|
||||
"maximum": 2,
|
||||
"minimum": 0,
|
||||
"x-order": 4,
|
||||
"description": "The bigger this number is, the more ControlNet interferes"
|
||||
},
|
||||
"condition_depth_scale": {
|
||||
"type": "number",
|
||||
"title": "Condition Depth Scale",
|
||||
"default": 0.35,
|
||||
"maximum": 2,
|
||||
"minimum": 0,
|
||||
"x-order": 3,
|
||||
"description": "The bigger this number is, the more ControlNet interferes"
|
||||
}
|
||||
}
|
||||
},
|
||||
"Output": {
|
||||
"type": "array",
|
||||
"items": {
|
||||
"type": "string",
|
||||
"format": "uri"
|
||||
},
|
||||
"title": "Output"
|
||||
},
|
||||
"Status": {
|
||||
"enum": [
|
||||
"starting",
|
||||
"processing",
|
||||
"succeeded",
|
||||
"canceled",
|
||||
"failed"
|
||||
],
|
||||
"type": "string",
|
||||
"title": "Status",
|
||||
"description": "An enumeration."
|
||||
},
|
||||
"scheduler": {
|
||||
"enum": [
|
||||
"DDIM",
|
||||
"DPMSolverMultistep",
|
||||
"HeunDiscrete",
|
||||
"KarrasDPM",
|
||||
"K_EULER_ANCESTRAL",
|
||||
"K_EULER",
|
||||
"PNDM"
|
||||
],
|
||||
"type": "string",
|
||||
"title": "scheduler",
|
||||
"description": "An enumeration."
|
||||
},
|
||||
"WebhookEvent": {
|
||||
"enum": [
|
||||
"start",
|
||||
"output",
|
||||
"logs",
|
||||
"completed"
|
||||
],
|
||||
"type": "string",
|
||||
"title": "WebhookEvent",
|
||||
"description": "An enumeration."
|
||||
},
|
||||
"ValidationError": {
|
||||
"type": "object",
|
||||
"title": "ValidationError",
|
||||
"required": [
|
||||
"loc",
|
||||
"msg",
|
||||
"type"
|
||||
],
|
||||
"properties": {
|
||||
"loc": {
|
||||
"type": "array",
|
||||
"items": {
|
||||
"anyOf": [
|
||||
{
|
||||
"type": "string"
|
||||
},
|
||||
{
|
||||
"type": "integer"
|
||||
}
|
||||
]
|
||||
},
|
||||
"title": "Location"
|
||||
},
|
||||
"msg": {
|
||||
"type": "string",
|
||||
"title": "Message"
|
||||
},
|
||||
"type": {
|
||||
"type": "string",
|
||||
"title": "Error Type"
|
||||
}
|
||||
}
|
||||
},
|
||||
"PredictionRequest": {
|
||||
"type": "object",
|
||||
"title": "PredictionRequest",
|
||||
"properties": {
|
||||
"id": {
|
||||
"type": "string",
|
||||
"title": "Id"
|
||||
},
|
||||
"input": {
|
||||
"$ref": "#/components/schemas/Input"
|
||||
},
|
||||
"webhook": {
|
||||
"type": "string",
|
||||
"title": "Webhook",
|
||||
"format": "uri",
|
||||
"maxLength": 65536,
|
||||
"minLength": 1
|
||||
},
|
||||
"created_at": {
|
||||
"type": "string",
|
||||
"title": "Created At",
|
||||
"format": "date-time"
|
||||
},
|
||||
"output_file_prefix": {
|
||||
"type": "string",
|
||||
"title": "Output File Prefix"
|
||||
},
|
||||
"webhook_events_filter": {
|
||||
"type": "array",
|
||||
"items": {
|
||||
"$ref": "#/components/schemas/WebhookEvent"
|
||||
},
|
||||
"default": [
|
||||
"start",
|
||||
"output",
|
||||
"logs",
|
||||
"completed"
|
||||
]
|
||||
}
|
||||
}
|
||||
},
|
||||
"PredictionResponse": {
|
||||
"type": "object",
|
||||
"title": "PredictionResponse",
|
||||
"properties": {
|
||||
"id": {
|
||||
"type": "string",
|
||||
"title": "Id"
|
||||
},
|
||||
"logs": {
|
||||
"type": "string",
|
||||
"title": "Logs",
|
||||
"default": ""
|
||||
},
|
||||
"error": {
|
||||
"type": "string",
|
||||
"title": "Error"
|
||||
},
|
||||
"input": {
|
||||
"$ref": "#/components/schemas/Input"
|
||||
},
|
||||
"output": {
|
||||
"$ref": "#/components/schemas/Output"
|
||||
},
|
||||
"status": {
|
||||
"$ref": "#/components/schemas/Status"
|
||||
},
|
||||
"metrics": {
|
||||
"type": "object",
|
||||
"title": "Metrics"
|
||||
},
|
||||
"version": {
|
||||
"type": "string",
|
||||
"title": "Version"
|
||||
},
|
||||
"created_at": {
|
||||
"type": "string",
|
||||
"title": "Created At",
|
||||
"format": "date-time"
|
||||
},
|
||||
"started_at": {
|
||||
"type": "string",
|
||||
"title": "Started At",
|
||||
"format": "date-time"
|
||||
},
|
||||
"completed_at": {
|
||||
"type": "string",
|
||||
"title": "Completed At",
|
||||
"format": "date-time"
|
||||
}
|
||||
}
|
||||
},
|
||||
"HTTPValidationError": {
|
||||
"type": "object",
|
||||
"title": "HTTPValidationError",
|
||||
"properties": {
|
||||
"detail": {
|
||||
"type": "array",
|
||||
"items": {
|
||||
"$ref": "#/components/schemas/ValidationError"
|
||||
},
|
||||
"title": "Detail"
|
||||
}
|
||||
}
|
||||
}
|
||||
}
|
||||
}
|
||||
}
|
||||
}
|
||||
}
|
||||
@@ -7,7 +7,7 @@
|
||||
"github_url": "https://github.com/lucataco/cog-sdxl-lightning-4step",
|
||||
"paper_url": "https://huggingface.co/ByteDance/SDXL-Lightning/resolve/main/sdxl_lightning_report.pdf",
|
||||
"license_url": "https://huggingface.co/ByteDance/SDXL-Lightning/blob/main/LICENSE.md",
|
||||
"run_count": 148013018,
|
||||
"run_count": 148311685,
|
||||
"cover_image_url": "https://replicate.delivery/pbxt/dYdYGKKt04pHJ1kle3eStm3q4mfPiUFlQ5xGeM3mfboYbMPUC/out-0.png",
|
||||
"default_example": {
|
||||
"id": "o22jrhbbmu5iuikbyayzbae7ve",
|
||||
|
||||
@@ -0,0 +1,613 @@
|
||||
{
|
||||
"url": "https://replicate.com/cjwbw/supir",
|
||||
"owner": "cjwbw",
|
||||
"name": "supir",
|
||||
"description": "Practicing Model Scaling for Photo-Realistic Image Restoration In the Wild. This version uses LLaVA-13b for captioning.",
|
||||
"visibility": "public",
|
||||
"github_url": "https://github.com/chenxwh/SUPIR",
|
||||
"paper_url": "https://github.com/chenxwh/SUPIR/tree/master",
|
||||
"license_url": "https://github.com/Fanghua-Yu/SUPIR/blob/master/LICENSE",
|
||||
"run_count": 103856,
|
||||
"cover_image_url": "https://replicate.delivery/pbxt/tsZTAUpHvDorAJcaZDd1BpYsBcijNfwhXfDUCAIvrqTsdnZSA/out.png",
|
||||
"default_example": {
|
||||
"id": "o4b2mqtbpcxyuo52addzll2g6i",
|
||||
"model": "cjwbw/supir",
|
||||
"version": "1302b550b4f7681da87ed0e405016d443fe1fafd64dabce6673401855a5039b5",
|
||||
"status": "succeeded",
|
||||
"input": {
|
||||
"image": "https://replicate.delivery/pbxt/KSFJ6sJWyEiPWysywNsAr2enzigJA3NZpG4YMrxrSFEIEShi/05.png",
|
||||
"s_cfg": 7.5,
|
||||
"s_churn": 5,
|
||||
"s_noise": 1.003,
|
||||
"upscale": 1,
|
||||
"a_prompt": "Cinematic, High Contrast, highly detailed, taken using a Canon EOS R camera, hyper detailed photo - realistic maximum detail, 32k, Color Grading, ultra HD, extreme meticulous detailing, skin pore detailing, hyper sharpness, perfect without deformations.",
|
||||
"min_size": 1024,
|
||||
"n_prompt": "painting, oil painting, illustration, drawing, art, sketch, oil painting, cartoon, CG Style, 3D render, unreal engine, blurring, dirty, messy, worst quality, low quality, frames, watermark, signature, jpeg artifacts, deformed, lowres, over-smooth",
|
||||
"s_stage1": -1,
|
||||
"s_stage2": 1,
|
||||
"edm_steps": 50,
|
||||
"use_llava": true,
|
||||
"linear_CFG": false,
|
||||
"model_name": "SUPIR-v0Q",
|
||||
"color_fix_type": "Wavelet",
|
||||
"spt_linear_CFG": 1,
|
||||
"linear_s_stage2": false,
|
||||
"spt_linear_s_stage2": 0
|
||||
},
|
||||
"output": "https://replicate.delivery/pbxt/tsZTAUpHvDorAJcaZDd1BpYsBcijNfwhXfDUCAIvrqTsdnZSA/out.png",
|
||||
"logs": "Using seed: 12774\nCaptions from LLaVA: ['The image features a beautiful bird perched on a thin, dry branch in a field. The bird is colorful and stands out against the brown background of the field. The branch is located in the middle of the scene, with the bird sitting on it, drawing attention to itself. The field is filled with a variety of flowers, adding a vibrant touch to the scene. The overall style of the image is artistic, with a focus on the bird and its natural surroundings.']\nSeed set to 12774",
|
||||
"error": null,
|
||||
"metrics": {
|
||||
"predict_time": 18.567178,
|
||||
"total_time": 859.898094
|
||||
},
|
||||
"created_at": "2024-02-23T16:04:32.875679Z",
|
||||
"started_at": "2024-02-23T16:18:34.206595Z",
|
||||
"completed_at": "2024-02-23T16:18:52.773773Z",
|
||||
"urls": {
|
||||
"get": "https://api.replicate.com/v1/predictions/o4b2mqtbpcxyuo52addzll2g6i",
|
||||
"cancel": "https://api.replicate.com/v1/predictions/o4b2mqtbpcxyuo52addzll2g6i/cancel"
|
||||
}
|
||||
},
|
||||
"latest_version": {
|
||||
"id": "1302b550b4f7681da87ed0e405016d443fe1fafd64dabce6673401855a5039b5",
|
||||
"created_at": "2024-02-23T16:02:47.711057+00:00",
|
||||
"cog_version": "0.9.4",
|
||||
"openapi_schema": {
|
||||
"info": {
|
||||
"title": "Cog",
|
||||
"version": "0.1.0"
|
||||
},
|
||||
"paths": {
|
||||
"/": {
|
||||
"get": {
|
||||
"summary": "Root",
|
||||
"responses": {
|
||||
"200": {
|
||||
"content": {
|
||||
"application/json": {
|
||||
"schema": {
|
||||
"title": "Response Root Get"
|
||||
}
|
||||
}
|
||||
},
|
||||
"description": "Successful Response"
|
||||
}
|
||||
},
|
||||
"operationId": "root__get"
|
||||
}
|
||||
},
|
||||
"/shutdown": {
|
||||
"post": {
|
||||
"summary": "Start Shutdown",
|
||||
"responses": {
|
||||
"200": {
|
||||
"content": {
|
||||
"application/json": {
|
||||
"schema": {
|
||||
"title": "Response Start Shutdown Shutdown Post"
|
||||
}
|
||||
}
|
||||
},
|
||||
"description": "Successful Response"
|
||||
}
|
||||
},
|
||||
"operationId": "start_shutdown_shutdown_post"
|
||||
}
|
||||
},
|
||||
"/predictions": {
|
||||
"post": {
|
||||
"summary": "Predict",
|
||||
"responses": {
|
||||
"200": {
|
||||
"content": {
|
||||
"application/json": {
|
||||
"schema": {
|
||||
"$ref": "#/components/schemas/PredictionResponse"
|
||||
}
|
||||
}
|
||||
},
|
||||
"description": "Successful Response"
|
||||
},
|
||||
"422": {
|
||||
"content": {
|
||||
"application/json": {
|
||||
"schema": {
|
||||
"$ref": "#/components/schemas/HTTPValidationError"
|
||||
}
|
||||
}
|
||||
},
|
||||
"description": "Validation Error"
|
||||
}
|
||||
},
|
||||
"parameters": [
|
||||
{
|
||||
"in": "header",
|
||||
"name": "prefer",
|
||||
"schema": {
|
||||
"type": "string",
|
||||
"title": "Prefer"
|
||||
},
|
||||
"required": false
|
||||
}
|
||||
],
|
||||
"description": "Run a single prediction on the model",
|
||||
"operationId": "predict_predictions_post",
|
||||
"requestBody": {
|
||||
"content": {
|
||||
"application/json": {
|
||||
"schema": {
|
||||
"$ref": "#/components/schemas/PredictionRequest"
|
||||
}
|
||||
}
|
||||
}
|
||||
}
|
||||
}
|
||||
},
|
||||
"/health-check": {
|
||||
"get": {
|
||||
"summary": "Healthcheck",
|
||||
"responses": {
|
||||
"200": {
|
||||
"content": {
|
||||
"application/json": {
|
||||
"schema": {
|
||||
"title": "Response Healthcheck Health Check Get"
|
||||
}
|
||||
}
|
||||
},
|
||||
"description": "Successful Response"
|
||||
}
|
||||
},
|
||||
"operationId": "healthcheck_health_check_get"
|
||||
}
|
||||
},
|
||||
"/predictions/{prediction_id}": {
|
||||
"put": {
|
||||
"summary": "Predict Idempotent",
|
||||
"responses": {
|
||||
"200": {
|
||||
"content": {
|
||||
"application/json": {
|
||||
"schema": {
|
||||
"$ref": "#/components/schemas/PredictionResponse"
|
||||
}
|
||||
}
|
||||
},
|
||||
"description": "Successful Response"
|
||||
},
|
||||
"422": {
|
||||
"content": {
|
||||
"application/json": {
|
||||
"schema": {
|
||||
"$ref": "#/components/schemas/HTTPValidationError"
|
||||
}
|
||||
}
|
||||
},
|
||||
"description": "Validation Error"
|
||||
}
|
||||
},
|
||||
"parameters": [
|
||||
{
|
||||
"in": "path",
|
||||
"name": "prediction_id",
|
||||
"schema": {
|
||||
"type": "string",
|
||||
"title": "Prediction ID"
|
||||
},
|
||||
"required": true
|
||||
},
|
||||
{
|
||||
"in": "header",
|
||||
"name": "prefer",
|
||||
"schema": {
|
||||
"type": "string",
|
||||
"title": "Prefer"
|
||||
},
|
||||
"required": false
|
||||
}
|
||||
],
|
||||
"description": "Run a single prediction on the model (idempotent creation).",
|
||||
"operationId": "predict_idempotent_predictions__prediction_id__put",
|
||||
"requestBody": {
|
||||
"content": {
|
||||
"application/json": {
|
||||
"schema": {
|
||||
"allOf": [
|
||||
{
|
||||
"$ref": "#/components/schemas/PredictionRequest"
|
||||
}
|
||||
],
|
||||
"title": "Prediction Request"
|
||||
}
|
||||
}
|
||||
},
|
||||
"required": true
|
||||
}
|
||||
}
|
||||
},
|
||||
"/predictions/{prediction_id}/cancel": {
|
||||
"post": {
|
||||
"summary": "Cancel",
|
||||
"responses": {
|
||||
"200": {
|
||||
"content": {
|
||||
"application/json": {
|
||||
"schema": {
|
||||
"title": "Response Cancel Predictions Prediction Id Cancel Post"
|
||||
}
|
||||
}
|
||||
},
|
||||
"description": "Successful Response"
|
||||
},
|
||||
"422": {
|
||||
"content": {
|
||||
"application/json": {
|
||||
"schema": {
|
||||
"$ref": "#/components/schemas/HTTPValidationError"
|
||||
}
|
||||
}
|
||||
},
|
||||
"description": "Validation Error"
|
||||
}
|
||||
},
|
||||
"parameters": [
|
||||
{
|
||||
"in": "path",
|
||||
"name": "prediction_id",
|
||||
"schema": {
|
||||
"type": "string",
|
||||
"title": "Prediction ID"
|
||||
},
|
||||
"required": true
|
||||
}
|
||||
],
|
||||
"description": "Cancel a running prediction",
|
||||
"operationId": "cancel_predictions__prediction_id__cancel_post"
|
||||
}
|
||||
}
|
||||
},
|
||||
"openapi": "3.0.2",
|
||||
"components": {
|
||||
"schemas": {
|
||||
"Input": {
|
||||
"type": "object",
|
||||
"title": "Input",
|
||||
"required": [
|
||||
"image"
|
||||
],
|
||||
"properties": {
|
||||
"seed": {
|
||||
"type": "integer",
|
||||
"title": "Seed",
|
||||
"x-order": 18,
|
||||
"description": "Random seed. Leave blank to randomize the seed"
|
||||
},
|
||||
"image": {
|
||||
"type": "string",
|
||||
"title": "Image",
|
||||
"format": "uri",
|
||||
"x-order": 1,
|
||||
"description": "Low quality input image."
|
||||
},
|
||||
"s_cfg": {
|
||||
"type": "number",
|
||||
"title": "S Cfg",
|
||||
"default": 7.5,
|
||||
"maximum": 20,
|
||||
"minimum": 1,
|
||||
"x-order": 12,
|
||||
"description": " Classifier-free guidance scale for prompts."
|
||||
},
|
||||
"s_churn": {
|
||||
"type": "number",
|
||||
"title": "S Churn",
|
||||
"default": 5,
|
||||
"x-order": 10,
|
||||
"description": "Original churn hy-param of EDM."
|
||||
},
|
||||
"s_noise": {
|
||||
"type": "number",
|
||||
"title": "S Noise",
|
||||
"default": 1.003,
|
||||
"x-order": 11,
|
||||
"description": "Original noise hy-param of EDM."
|
||||
},
|
||||
"upscale": {
|
||||
"type": "integer",
|
||||
"title": "Upscale",
|
||||
"default": 1,
|
||||
"x-order": 2,
|
||||
"description": "Upsampling ratio of given inputs."
|
||||
},
|
||||
"a_prompt": {
|
||||
"type": "string",
|
||||
"title": "A Prompt",
|
||||
"default": "Cinematic, High Contrast, highly detailed, taken using a Canon EOS R camera, hyper detailed photo - realistic maximum detail, 32k, Color Grading, ultra HD, extreme meticulous detailing, skin pore detailing, hyper sharpness, perfect without deformations.",
|
||||
"x-order": 6,
|
||||
"description": "Additive positive prompt for the inputs."
|
||||
},
|
||||
"min_size": {
|
||||
"type": "number",
|
||||
"title": "Min Size",
|
||||
"default": 1024,
|
||||
"x-order": 3,
|
||||
"description": "Minimum resolution of output images."
|
||||
},
|
||||
"n_prompt": {
|
||||
"type": "string",
|
||||
"title": "N Prompt",
|
||||
"default": "painting, oil painting, illustration, drawing, art, sketch, oil painting, cartoon, CG Style, 3D render, unreal engine, blurring, dirty, messy, worst quality, low quality, frames, watermark, signature, jpeg artifacts, deformed, lowres, over-smooth",
|
||||
"x-order": 7,
|
||||
"description": "Negative prompt for the inputs."
|
||||
},
|
||||
"s_stage1": {
|
||||
"type": "integer",
|
||||
"title": "S Stage1",
|
||||
"default": -1,
|
||||
"x-order": 9,
|
||||
"description": "Control Strength of Stage1 (negative means invalid)."
|
||||
},
|
||||
"s_stage2": {
|
||||
"type": "number",
|
||||
"title": "S Stage2",
|
||||
"default": 1,
|
||||
"x-order": 13,
|
||||
"description": "Control Strength of Stage2."
|
||||
},
|
||||
"edm_steps": {
|
||||
"type": "integer",
|
||||
"title": "Edm Steps",
|
||||
"default": 50,
|
||||
"maximum": 500,
|
||||
"minimum": 1,
|
||||
"x-order": 4,
|
||||
"description": "Number of steps for EDM Sampling Schedule."
|
||||
},
|
||||
"use_llava": {
|
||||
"type": "boolean",
|
||||
"title": "Use Llava",
|
||||
"default": true,
|
||||
"x-order": 5,
|
||||
"description": "Use LLaVA model to get captions."
|
||||
},
|
||||
"linear_CFG": {
|
||||
"type": "boolean",
|
||||
"title": "Linear Cfg",
|
||||
"default": false,
|
||||
"x-order": 14,
|
||||
"description": "Linearly (with sigma) increase CFG from 'spt_linear_CFG' to s_cfg."
|
||||
},
|
||||
"model_name": {
|
||||
"allOf": [
|
||||
{
|
||||
"$ref": "#/components/schemas/model_name"
|
||||
}
|
||||
],
|
||||
"default": "SUPIR-v0Q",
|
||||
"x-order": 0,
|
||||
"description": "Choose a model. SUPIR-v0Q is the default training settings with paper. SUPIR-v0F is high generalization and high image quality in most cases. Training with light degradation settings. Stage1 encoder of SUPIR-v0F remains more details when facing light degradations."
|
||||
},
|
||||
"color_fix_type": {
|
||||
"allOf": [
|
||||
{
|
||||
"$ref": "#/components/schemas/color_fix_type"
|
||||
}
|
||||
],
|
||||
"default": "Wavelet",
|
||||
"x-order": 8,
|
||||
"description": "Color Fixing Type.."
|
||||
},
|
||||
"spt_linear_CFG": {
|
||||
"type": "number",
|
||||
"title": "Spt Linear Cfg",
|
||||
"default": 1,
|
||||
"x-order": 16,
|
||||
"description": "Start point of linearly increasing CFG."
|
||||
},
|
||||
"linear_s_stage2": {
|
||||
"type": "boolean",
|
||||
"title": "Linear S Stage2",
|
||||
"default": false,
|
||||
"x-order": 15,
|
||||
"description": "Linearly (with sigma) increase s_stage2 from 'spt_linear_s_stage2' to s_stage2."
|
||||
},
|
||||
"spt_linear_s_stage2": {
|
||||
"type": "number",
|
||||
"title": "Spt Linear S Stage2",
|
||||
"default": 0,
|
||||
"x-order": 17,
|
||||
"description": "Start point of linearly increasing s_stage2."
|
||||
}
|
||||
}
|
||||
},
|
||||
"Output": {
|
||||
"type": "string",
|
||||
"title": "Output",
|
||||
"format": "uri"
|
||||
},
|
||||
"Status": {
|
||||
"enum": [
|
||||
"starting",
|
||||
"processing",
|
||||
"succeeded",
|
||||
"canceled",
|
||||
"failed"
|
||||
],
|
||||
"type": "string",
|
||||
"title": "Status",
|
||||
"description": "An enumeration."
|
||||
},
|
||||
"model_name": {
|
||||
"enum": [
|
||||
"SUPIR-v0Q",
|
||||
"SUPIR-v0F"
|
||||
],
|
||||
"type": "string",
|
||||
"title": "model_name",
|
||||
"description": "An enumeration."
|
||||
},
|
||||
"WebhookEvent": {
|
||||
"enum": [
|
||||
"start",
|
||||
"output",
|
||||
"logs",
|
||||
"completed"
|
||||
],
|
||||
"type": "string",
|
||||
"title": "WebhookEvent",
|
||||
"description": "An enumeration."
|
||||
},
|
||||
"color_fix_type": {
|
||||
"enum": [
|
||||
"None",
|
||||
"AdaIn",
|
||||
"Wavelet"
|
||||
],
|
||||
"type": "string",
|
||||
"title": "color_fix_type",
|
||||
"description": "An enumeration."
|
||||
},
|
||||
"ValidationError": {
|
||||
"type": "object",
|
||||
"title": "ValidationError",
|
||||
"required": [
|
||||
"loc",
|
||||
"msg",
|
||||
"type"
|
||||
],
|
||||
"properties": {
|
||||
"loc": {
|
||||
"type": "array",
|
||||
"items": {
|
||||
"anyOf": [
|
||||
{
|
||||
"type": "string"
|
||||
},
|
||||
{
|
||||
"type": "integer"
|
||||
}
|
||||
]
|
||||
},
|
||||
"title": "Location"
|
||||
},
|
||||
"msg": {
|
||||
"type": "string",
|
||||
"title": "Message"
|
||||
},
|
||||
"type": {
|
||||
"type": "string",
|
||||
"title": "Error Type"
|
||||
}
|
||||
}
|
||||
},
|
||||
"PredictionRequest": {
|
||||
"type": "object",
|
||||
"title": "PredictionRequest",
|
||||
"properties": {
|
||||
"id": {
|
||||
"type": "string",
|
||||
"title": "Id"
|
||||
},
|
||||
"input": {
|
||||
"$ref": "#/components/schemas/Input"
|
||||
},
|
||||
"webhook": {
|
||||
"type": "string",
|
||||
"title": "Webhook",
|
||||
"format": "uri",
|
||||
"maxLength": 65536,
|
||||
"minLength": 1
|
||||
},
|
||||
"created_at": {
|
||||
"type": "string",
|
||||
"title": "Created At",
|
||||
"format": "date-time"
|
||||
},
|
||||
"output_file_prefix": {
|
||||
"type": "string",
|
||||
"title": "Output File Prefix"
|
||||
},
|
||||
"webhook_events_filter": {
|
||||
"type": "array",
|
||||
"items": {
|
||||
"$ref": "#/components/schemas/WebhookEvent"
|
||||
},
|
||||
"default": [
|
||||
"start",
|
||||
"output",
|
||||
"logs",
|
||||
"completed"
|
||||
]
|
||||
}
|
||||
}
|
||||
},
|
||||
"PredictionResponse": {
|
||||
"type": "object",
|
||||
"title": "PredictionResponse",
|
||||
"properties": {
|
||||
"id": {
|
||||
"type": "string",
|
||||
"title": "Id"
|
||||
},
|
||||
"logs": {
|
||||
"type": "string",
|
||||
"title": "Logs",
|
||||
"default": ""
|
||||
},
|
||||
"error": {
|
||||
"type": "string",
|
||||
"title": "Error"
|
||||
},
|
||||
"input": {
|
||||
"$ref": "#/components/schemas/Input"
|
||||
},
|
||||
"output": {
|
||||
"$ref": "#/components/schemas/Output"
|
||||
},
|
||||
"status": {
|
||||
"$ref": "#/components/schemas/Status"
|
||||
},
|
||||
"metrics": {
|
||||
"type": "object",
|
||||
"title": "Metrics"
|
||||
},
|
||||
"version": {
|
||||
"type": "string",
|
||||
"title": "Version"
|
||||
},
|
||||
"created_at": {
|
||||
"type": "string",
|
||||
"title": "Created At",
|
||||
"format": "date-time"
|
||||
},
|
||||
"started_at": {
|
||||
"type": "string",
|
||||
"title": "Started At",
|
||||
"format": "date-time"
|
||||
},
|
||||
"completed_at": {
|
||||
"type": "string",
|
||||
"title": "Completed At",
|
||||
"format": "date-time"
|
||||
}
|
||||
}
|
||||
},
|
||||
"HTTPValidationError": {
|
||||
"type": "object",
|
||||
"title": "HTTPValidationError",
|
||||
"properties": {
|
||||
"detail": {
|
||||
"type": "array",
|
||||
"items": {
|
||||
"$ref": "#/components/schemas/ValidationError"
|
||||
},
|
||||
"title": "Detail"
|
||||
}
|
||||
}
|
||||
}
|
||||
}
|
||||
}
|
||||
}
|
||||
}
|
||||
}
|
||||
@@ -0,0 +1,449 @@
|
||||
{
|
||||
"url": "https://replicate.com/cuuupid/glm-4v-9b",
|
||||
"owner": "cuuupid",
|
||||
"name": "glm-4v-9b",
|
||||
"description": "GLM-4V is a multimodal model released by Tsinghua University that is competitive with GPT-4o and establishes a new SOTA on several benchmarks, including OCR.",
|
||||
"visibility": "public",
|
||||
"github_url": "https://github.com/THUDM/GLM-4",
|
||||
"paper_url": null,
|
||||
"license_url": "https://huggingface.co/THUDM/glm-4-9b/blob/main/LICENSE",
|
||||
"run_count": 2828,
|
||||
"cover_image_url": "https://tjzk.replicate.delivery/models_models_cover_image/24f30b2f-9daa-4b61-98d8-528324c1019c/replicate-prediction-apk97rpxg9rh.png",
|
||||
"default_example": {
|
||||
"id": "pep5rrz4nnrgm0cg12p9q32948",
|
||||
"model": "cuuupid/glm-4v-9b",
|
||||
"version": "a75c919339f65bf00afa96511af653fdbd0ec3cb0f5e6f4350809445eee0e14f",
|
||||
"status": "succeeded",
|
||||
"input": {
|
||||
"image": "https://replicate.delivery/pbxt/L4yniMG0Ngbuzm6Q6Go37SdEq6qbR284ktnGNiNjs818EDOJ/image.png",
|
||||
"prompt": "Please identify the text in the picture."
|
||||
},
|
||||
"output": "The text in the picture reads:\n\nUnesco announces its newest geoparks around the world\n\n9 April 2024\n\nBy Lynn Brown, Features correspondent\n\nShare\n\nChris Karageitis\n\nUnesco Geoparks represent a balance of unique geological features, cultural touchpoints and a focus on sustainability\n\n(Credit: Chris Karageitis)\n\nFrom dinosaur fossils in Brazil to the soaring monasteries of Meteora, these 18 new geological sites highlight a particular region's natural, cultural and intangible heritage.\n\nTravellers interested in deep dives into geology, culture and sustainability have several new destinations to place on their bucket lists. Unesco just announced the designation of 18 new Global Geoparks, bringing the total to 213 sites representing 48 countries around the world.\n\nFrom crystal-clear karst lakes to an archipelago formed during the last ice age, these parks are more than just sites with unique geological features; they also serve to highlight a particular region's natural, cultural and intangible heritage. \"Unesco Global Geoparks represent landscapes where internationally significant geological heritage intertwines with human history and supports rich biodiversity,\" explains Antonio Abreu, director of the Division of Ecological and Earth Sciences at Unesco. \"Each new geopark tells a unique story, using geology as its lens.\"\n\nHere are five of the newest geoparks on Unesco's list: <|endoftext|>",
|
||||
"logs": null,
|
||||
"error": null,
|
||||
"metrics": {
|
||||
"predict_time": 9.462071,
|
||||
"total_time": 9.509579
|
||||
},
|
||||
"created_at": "2024-06-11T19:01:06.861000Z",
|
||||
"started_at": "2024-06-11T19:01:06.908508Z",
|
||||
"completed_at": "2024-06-11T19:01:16.370579Z",
|
||||
"urls": {
|
||||
"get": "https://api.replicate.com/v1/predictions/pep5rrz4nnrgm0cg12p9q32948",
|
||||
"cancel": "https://api.replicate.com/v1/predictions/pep5rrz4nnrgm0cg12p9q32948/cancel"
|
||||
}
|
||||
},
|
||||
"latest_version": {
|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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||||
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|
||||
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|
||||
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||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
"/shutdown": {
|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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||||
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||||
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||||
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||||
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|
||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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|
||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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|
||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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|
||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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||||
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||||
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|
||||
"application/json": {
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||||
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||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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||||
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||||
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||||
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||||
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||||
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|
||||
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|
||||
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||||
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||||
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|
||||
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||||
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||||
{
|
||||
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|
||||
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||||
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||||
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|
||||
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|
||||
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||||
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||||
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||||
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|
||||
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||||
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||||
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||||
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||||
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|
||||
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||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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||||
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||||
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||||
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||||
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||||
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|
||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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|
||||
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||||
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||||
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||||
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||||
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||||
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|
||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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|
||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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|
||||
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|
||||
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||||
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||||
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|
||||
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|
||||
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||||
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||||
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||||
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|
||||
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||||
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||||
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||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
}
|
||||
}
|
||||
}
|
||||
@@ -0,0 +1,522 @@
|
||||
{
|
||||
"url": "https://replicate.com/cuuupid/idm-vton",
|
||||
"owner": "cuuupid",
|
||||
"name": "idm-vton",
|
||||
"description": "Best-in-class clothing virtual try on in the wild (non-commercial use only)",
|
||||
"visibility": "public",
|
||||
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|
||||
"paper_url": "https://arxiv.org/abs/2403.05139",
|
||||
"license_url": "https://creativecommons.org/licenses/by-nc-sa/4.0/deed.en",
|
||||
"run_count": 199318,
|
||||
"cover_image_url": "https://tjzk.replicate.delivery/models_models_cover_image/e6753f2f-78a9-43af-8a2e-ef379d9d5f51/replicate-prediction-qh5eq80v2hrg.png",
|
||||
"default_example": {
|
||||
"id": "chz7vk2mt5rgg0cenfqaj2war8",
|
||||
"model": "cuuupid/idm-vton",
|
||||
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|
||||
"status": "succeeded",
|
||||
"input": {
|
||||
"seed": 42,
|
||||
"steps": 30,
|
||||
"garm_img": "https://replicate.delivery/pbxt/KgwTlZyFx5aUU3gc5gMiKuD5nNPTgliMlLUWx160G4z99YjO/sweater.webp",
|
||||
"human_img": "https://replicate.delivery/pbxt/KgwTlhCMvDagRrcVzZJbuozNJ8esPqiNAIJS3eMgHrYuHmW4/KakaoTalk_Photo_2024-04-04-21-44-45.png",
|
||||
"garment_des": "cute pink top"
|
||||
},
|
||||
"output": "https://replicate.delivery/pbxt/Tfs5JETdzlURKyKeUOltKwch7udHf8e2xmNsftwid7ca2E6UC/output.jpg",
|
||||
"logs": "0%| | 0/1 [00:00<?, ?it/s]\n100%|██████████| 1/1 [00:03<00:00, 3.51s/it]\n100%|██████████| 1/1 [00:03<00:00, 3.51s/it]\n 0%| | 0/1 [00:00<?, ?it/s]\n100%|██████████| 1/1 [00:03<00:00, 3.50s/it]\n100%|██████████| 1/1 [00:03<00:00, 3.50s/it]\n 0%| | 0/30 [00:00<?, ?it/s]\n 3%|▎ | 1/30 [00:00<00:06, 4.49it/s]\n 7%|▋ | 2/30 [00:00<00:06, 4.46it/s]\n 10%|█ | 3/30 [00:00<00:05, 4.50it/s]\n 13%|█▎ | 4/30 [00:00<00:05, 4.49it/s]\n 17%|█▋ | 5/30 [00:01<00:05, 4.51it/s]\n 20%|██ | 6/30 [00:01<00:05, 4.53it/s]\n 23%|██▎ | 7/30 [00:01<00:05, 4.53it/s]\n 27%|██▋ | 8/30 [00:01<00:04, 4.53it/s]\n 30%|███ | 9/30 [00:01<00:04, 4.52it/s]\n 33%|███▎ | 10/30 [00:02<00:04, 4.52it/s]\n 37%|███▋ | 11/30 [00:02<00:04, 4.51it/s]\n 40%|████ | 12/30 [00:02<00:04, 4.48it/s]\n 43%|████▎ | 13/30 [00:02<00:03, 4.48it/s]\n 47%|████▋ | 14/30 [00:03<00:03, 4.51it/s]\n 50%|█████ | 15/30 [00:03<00:03, 4.51it/s]\n 53%|█████▎ | 16/30 [00:03<00:03, 4.51it/s]\n 57%|█████▋ | 17/30 [00:03<00:02, 4.50it/s]\n 60%|██████ | 18/30 [00:03<00:02, 4.50it/s]\n 63%|██████▎ | 19/30 [00:04<00:02, 4.49it/s]\n 67%|██████▋ | 20/30 [00:04<00:02, 4.47it/s]\n 70%|███████ | 21/30 [00:04<00:02, 4.47it/s]\n 73%|███████▎ | 22/30 [00:04<00:01, 4.46it/s]\n 77%|███████▋ | 23/30 [00:05<00:01, 4.47it/s]\n 80%|████████ | 24/30 [00:05<00:01, 4.47it/s]\n 83%|████████▎ | 25/30 [00:05<00:01, 4.49it/s]\n 87%|████████▋ | 26/30 [00:05<00:00, 4.49it/s]\n 90%|█████████ | 27/30 [00:06<00:00, 4.49it/s]\n 93%|█████████▎| 28/30 [00:06<00:00, 4.50it/s]\n 97%|█████████▋| 29/30 [00:06<00:00, 4.50it/s]\n100%|██████████| 30/30 [00:06<00:00, 4.50it/s]\n100%|██████████| 30/30 [00:06<00:00, 4.50it/s]",
|
||||
"error": null,
|
||||
"metrics": {
|
||||
"predict_time": 16.590835,
|
||||
"total_time": 16.600048
|
||||
},
|
||||
"created_at": "2024-04-05T01:45:07.025000Z",
|
||||
"started_at": "2024-04-05T01:45:07.034213Z",
|
||||
"completed_at": "2024-04-05T01:45:23.625048Z",
|
||||
"urls": {
|
||||
"get": "https://api.replicate.com/v1/predictions/chz7vk2mt5rgg0cenfqaj2war8",
|
||||
"cancel": "https://api.replicate.com/v1/predictions/chz7vk2mt5rgg0cenfqaj2war8/cancel"
|
||||
}
|
||||
},
|
||||
"latest_version": {
|
||||
"id": "906425dbca90663ff5427624839572cc56ea7d380343d13e2a4c4b09d3f0c30f",
|
||||
"created_at": "2024-04-25T03:18:00.940610+00:00",
|
||||
"cog_version": "v0.9.5+dev",
|
||||
"openapi_schema": {
|
||||
"info": {
|
||||
"title": "Cog",
|
||||
"version": "0.1.0"
|
||||
},
|
||||
"paths": {
|
||||
"/": {
|
||||
"get": {
|
||||
"summary": "Root",
|
||||
"responses": {
|
||||
"200": {
|
||||
"content": {
|
||||
"application/json": {
|
||||
"schema": {
|
||||
"title": "Response Root Get"
|
||||
}
|
||||
}
|
||||
},
|
||||
"description": "Successful Response"
|
||||
}
|
||||
},
|
||||
"operationId": "root__get"
|
||||
}
|
||||
},
|
||||
"/shutdown": {
|
||||
"post": {
|
||||
"summary": "Start Shutdown",
|
||||
"responses": {
|
||||
"200": {
|
||||
"content": {
|
||||
"application/json": {
|
||||
"schema": {
|
||||
"title": "Response Start Shutdown Shutdown Post"
|
||||
}
|
||||
}
|
||||
},
|
||||
"description": "Successful Response"
|
||||
}
|
||||
},
|
||||
"operationId": "start_shutdown_shutdown_post"
|
||||
}
|
||||
},
|
||||
"/predictions": {
|
||||
"post": {
|
||||
"summary": "Predict",
|
||||
"responses": {
|
||||
"200": {
|
||||
"content": {
|
||||
"application/json": {
|
||||
"schema": {
|
||||
"$ref": "#/components/schemas/PredictionResponse"
|
||||
}
|
||||
}
|
||||
},
|
||||
"description": "Successful Response"
|
||||
},
|
||||
"422": {
|
||||
"content": {
|
||||
"application/json": {
|
||||
"schema": {
|
||||
"$ref": "#/components/schemas/HTTPValidationError"
|
||||
}
|
||||
}
|
||||
},
|
||||
"description": "Validation Error"
|
||||
}
|
||||
},
|
||||
"parameters": [
|
||||
{
|
||||
"in": "header",
|
||||
"name": "prefer",
|
||||
"schema": {
|
||||
"type": "string",
|
||||
"title": "Prefer"
|
||||
},
|
||||
"required": false
|
||||
}
|
||||
],
|
||||
"description": "Run a single prediction on the model",
|
||||
"operationId": "predict_predictions_post",
|
||||
"requestBody": {
|
||||
"content": {
|
||||
"application/json": {
|
||||
"schema": {
|
||||
"$ref": "#/components/schemas/PredictionRequest"
|
||||
}
|
||||
}
|
||||
}
|
||||
}
|
||||
}
|
||||
},
|
||||
"/health-check": {
|
||||
"get": {
|
||||
"summary": "Healthcheck",
|
||||
"responses": {
|
||||
"200": {
|
||||
"content": {
|
||||
"application/json": {
|
||||
"schema": {
|
||||
"title": "Response Healthcheck Health Check Get"
|
||||
}
|
||||
}
|
||||
},
|
||||
"description": "Successful Response"
|
||||
}
|
||||
},
|
||||
"operationId": "healthcheck_health_check_get"
|
||||
}
|
||||
},
|
||||
"/predictions/{prediction_id}": {
|
||||
"put": {
|
||||
"summary": "Predict Idempotent",
|
||||
"responses": {
|
||||
"200": {
|
||||
"content": {
|
||||
"application/json": {
|
||||
"schema": {
|
||||
"$ref": "#/components/schemas/PredictionResponse"
|
||||
}
|
||||
}
|
||||
},
|
||||
"description": "Successful Response"
|
||||
},
|
||||
"422": {
|
||||
"content": {
|
||||
"application/json": {
|
||||
"schema": {
|
||||
"$ref": "#/components/schemas/HTTPValidationError"
|
||||
}
|
||||
}
|
||||
},
|
||||
"description": "Validation Error"
|
||||
}
|
||||
},
|
||||
"parameters": [
|
||||
{
|
||||
"in": "path",
|
||||
"name": "prediction_id",
|
||||
"schema": {
|
||||
"type": "string",
|
||||
"title": "Prediction ID"
|
||||
},
|
||||
"required": true
|
||||
},
|
||||
{
|
||||
"in": "header",
|
||||
"name": "prefer",
|
||||
"schema": {
|
||||
"type": "string",
|
||||
"title": "Prefer"
|
||||
},
|
||||
"required": false
|
||||
}
|
||||
],
|
||||
"description": "Run a single prediction on the model (idempotent creation).",
|
||||
"operationId": "predict_idempotent_predictions__prediction_id__put",
|
||||
"requestBody": {
|
||||
"content": {
|
||||
"application/json": {
|
||||
"schema": {
|
||||
"allOf": [
|
||||
{
|
||||
"$ref": "#/components/schemas/PredictionRequest"
|
||||
}
|
||||
],
|
||||
"title": "Prediction Request"
|
||||
}
|
||||
}
|
||||
},
|
||||
"required": true
|
||||
}
|
||||
}
|
||||
},
|
||||
"/predictions/{prediction_id}/cancel": {
|
||||
"post": {
|
||||
"summary": "Cancel",
|
||||
"responses": {
|
||||
"200": {
|
||||
"content": {
|
||||
"application/json": {
|
||||
"schema": {
|
||||
"title": "Response Cancel Predictions Prediction Id Cancel Post"
|
||||
}
|
||||
}
|
||||
},
|
||||
"description": "Successful Response"
|
||||
},
|
||||
"422": {
|
||||
"content": {
|
||||
"application/json": {
|
||||
"schema": {
|
||||
"$ref": "#/components/schemas/HTTPValidationError"
|
||||
}
|
||||
}
|
||||
},
|
||||
"description": "Validation Error"
|
||||
}
|
||||
},
|
||||
"parameters": [
|
||||
{
|
||||
"in": "path",
|
||||
"name": "prediction_id",
|
||||
"schema": {
|
||||
"type": "string",
|
||||
"title": "Prediction ID"
|
||||
},
|
||||
"required": true
|
||||
}
|
||||
],
|
||||
"description": "Cancel a running prediction",
|
||||
"operationId": "cancel_predictions__prediction_id__cancel_post"
|
||||
}
|
||||
}
|
||||
},
|
||||
"openapi": "3.0.2",
|
||||
"components": {
|
||||
"schemas": {
|
||||
"Input": {
|
||||
"type": "object",
|
||||
"title": "Input",
|
||||
"required": [
|
||||
"garm_img",
|
||||
"human_img"
|
||||
],
|
||||
"properties": {
|
||||
"crop": {
|
||||
"type": "boolean",
|
||||
"title": "Crop",
|
||||
"default": false,
|
||||
"x-order": 5,
|
||||
"description": "Use cropping? (check this if your image is not 3:4)"
|
||||
},
|
||||
"seed": {
|
||||
"type": "integer",
|
||||
"title": "Seed",
|
||||
"default": 42,
|
||||
"x-order": 9
|
||||
},
|
||||
"steps": {
|
||||
"type": "integer",
|
||||
"title": "Steps",
|
||||
"default": 30,
|
||||
"maximum": 40,
|
||||
"minimum": 1,
|
||||
"x-order": 8
|
||||
},
|
||||
"category": {
|
||||
"allOf": [
|
||||
{
|
||||
"$ref": "#/components/schemas/category"
|
||||
}
|
||||
],
|
||||
"default": "upper_body",
|
||||
"x-order": 4,
|
||||
"description": "Category of garment"
|
||||
},
|
||||
"force_dc": {
|
||||
"type": "boolean",
|
||||
"title": "Force Dc",
|
||||
"default": false,
|
||||
"x-order": 6,
|
||||
"description": "Use the DressCode version of IDM-VTON (this is default false, except if category=dresses)"
|
||||
},
|
||||
"garm_img": {
|
||||
"type": "string",
|
||||
"title": "Garm Img",
|
||||
"format": "uri",
|
||||
"x-order": 0,
|
||||
"description": "Garment, should match the category, can be a product image or even a photo of someone"
|
||||
},
|
||||
"mask_img": {
|
||||
"type": "string",
|
||||
"title": "Mask Img",
|
||||
"format": "uri",
|
||||
"x-order": 3,
|
||||
"description": "Mask image, optional (but faster)"
|
||||
},
|
||||
"human_img": {
|
||||
"type": "string",
|
||||
"title": "Human Img",
|
||||
"format": "uri",
|
||||
"x-order": 2,
|
||||
"description": "Model, if this is not 3:4 check crop"
|
||||
},
|
||||
"mask_only": {
|
||||
"type": "boolean",
|
||||
"title": "Mask Only",
|
||||
"default": false,
|
||||
"x-order": 7,
|
||||
"description": "Return only the mask"
|
||||
},
|
||||
"garment_des": {
|
||||
"type": "string",
|
||||
"title": "Garment Des",
|
||||
"x-order": 1,
|
||||
"description": "Description of garment e.g. Short Sleeve Round Neck T-shirt"
|
||||
}
|
||||
}
|
||||
},
|
||||
"Output": {
|
||||
"type": "string",
|
||||
"title": "Output",
|
||||
"format": "uri"
|
||||
},
|
||||
"Status": {
|
||||
"enum": [
|
||||
"starting",
|
||||
"processing",
|
||||
"succeeded",
|
||||
"canceled",
|
||||
"failed"
|
||||
],
|
||||
"type": "string",
|
||||
"title": "Status",
|
||||
"description": "An enumeration."
|
||||
},
|
||||
"category": {
|
||||
"enum": [
|
||||
"upper_body",
|
||||
"lower_body",
|
||||
"dresses"
|
||||
],
|
||||
"type": "string",
|
||||
"title": "category",
|
||||
"description": "An enumeration."
|
||||
},
|
||||
"WebhookEvent": {
|
||||
"enum": [
|
||||
"start",
|
||||
"output",
|
||||
"logs",
|
||||
"completed"
|
||||
],
|
||||
"type": "string",
|
||||
"title": "WebhookEvent",
|
||||
"description": "An enumeration."
|
||||
},
|
||||
"ValidationError": {
|
||||
"type": "object",
|
||||
"title": "ValidationError",
|
||||
"required": [
|
||||
"loc",
|
||||
"msg",
|
||||
"type"
|
||||
],
|
||||
"properties": {
|
||||
"loc": {
|
||||
"type": "array",
|
||||
"items": {
|
||||
"anyOf": [
|
||||
{
|
||||
"type": "string"
|
||||
},
|
||||
{
|
||||
"type": "integer"
|
||||
}
|
||||
]
|
||||
},
|
||||
"title": "Location"
|
||||
},
|
||||
"msg": {
|
||||
"type": "string",
|
||||
"title": "Message"
|
||||
},
|
||||
"type": {
|
||||
"type": "string",
|
||||
"title": "Error Type"
|
||||
}
|
||||
}
|
||||
},
|
||||
"PredictionRequest": {
|
||||
"type": "object",
|
||||
"title": "PredictionRequest",
|
||||
"properties": {
|
||||
"id": {
|
||||
"type": "string",
|
||||
"title": "Id"
|
||||
},
|
||||
"input": {
|
||||
"$ref": "#/components/schemas/Input"
|
||||
},
|
||||
"webhook": {
|
||||
"type": "string",
|
||||
"title": "Webhook",
|
||||
"format": "uri",
|
||||
"maxLength": 65536,
|
||||
"minLength": 1
|
||||
},
|
||||
"created_at": {
|
||||
"type": "string",
|
||||
"title": "Created At",
|
||||
"format": "date-time"
|
||||
},
|
||||
"output_file_prefix": {
|
||||
"type": "string",
|
||||
"title": "Output File Prefix"
|
||||
},
|
||||
"webhook_events_filter": {
|
||||
"type": "array",
|
||||
"items": {
|
||||
"$ref": "#/components/schemas/WebhookEvent"
|
||||
},
|
||||
"default": [
|
||||
"start",
|
||||
"output",
|
||||
"logs",
|
||||
"completed"
|
||||
]
|
||||
}
|
||||
}
|
||||
},
|
||||
"PredictionResponse": {
|
||||
"type": "object",
|
||||
"title": "PredictionResponse",
|
||||
"properties": {
|
||||
"id": {
|
||||
"type": "string",
|
||||
"title": "Id"
|
||||
},
|
||||
"logs": {
|
||||
"type": "string",
|
||||
"title": "Logs",
|
||||
"default": ""
|
||||
},
|
||||
"error": {
|
||||
"type": "string",
|
||||
"title": "Error"
|
||||
},
|
||||
"input": {
|
||||
"$ref": "#/components/schemas/Input"
|
||||
},
|
||||
"output": {
|
||||
"$ref": "#/components/schemas/Output"
|
||||
},
|
||||
"status": {
|
||||
"$ref": "#/components/schemas/Status"
|
||||
},
|
||||
"metrics": {
|
||||
"type": "object",
|
||||
"title": "Metrics"
|
||||
},
|
||||
"version": {
|
||||
"type": "string",
|
||||
"title": "Version"
|
||||
},
|
||||
"created_at": {
|
||||
"type": "string",
|
||||
"title": "Created At",
|
||||
"format": "date-time"
|
||||
},
|
||||
"started_at": {
|
||||
"type": "string",
|
||||
"title": "Started At",
|
||||
"format": "date-time"
|
||||
},
|
||||
"completed_at": {
|
||||
"type": "string",
|
||||
"title": "Completed At",
|
||||
"format": "date-time"
|
||||
}
|
||||
}
|
||||
},
|
||||
"HTTPValidationError": {
|
||||
"type": "object",
|
||||
"title": "HTTPValidationError",
|
||||
"properties": {
|
||||
"detail": {
|
||||
"type": "array",
|
||||
"items": {
|
||||
"$ref": "#/components/schemas/ValidationError"
|
||||
},
|
||||
"title": "Detail"
|
||||
}
|
||||
}
|
||||
}
|
||||
}
|
||||
}
|
||||
}
|
||||
}
|
||||
}
|
||||
@@ -7,7 +7,7 @@
|
||||
"github_url": "https://github.com/fofr/cog-face-to-many",
|
||||
"paper_url": null,
|
||||
"license_url": "https://github.com/fofr/cog-face-to-many/blob/main/weights_licenses.md",
|
||||
"run_count": 10959565,
|
||||
"run_count": 10959899,
|
||||
"cover_image_url": "https://replicate.delivery/pbxt/R1ayGe5efoQbaoRzgDEJdLsIZ20lWRiprvoW1F4uKAZIha6kA/ComfyUI_00001_.png",
|
||||
"default_example": {
|
||||
"id": "pft2dadbcdnh25z5ktctsj3sze",
|
||||
|
||||
@@ -7,7 +7,7 @@
|
||||
"github_url": "https://github.com/fofr/sd3-with-chaos",
|
||||
"paper_url": null,
|
||||
"license_url": "https://stability.ai/license",
|
||||
"run_count": 601,
|
||||
"run_count": 608,
|
||||
"cover_image_url": "https://tjzk.replicate.delivery/models_models_cover_image/2f18d552-7af0-4ec7-9b59-c9a375890321/image_grid_new.webp",
|
||||
"default_example": {
|
||||
"id": "hx7znzfjehrgj0cg6pw81ygeh4",
|
||||
|
||||
@@ -7,7 +7,7 @@
|
||||
"github_url": "https://github.com/fofr/cog-cpu-toolkit",
|
||||
"paper_url": null,
|
||||
"license_url": "https://github.com/fofr/cog-cpu-toolkit/blob/main/LICENSE",
|
||||
"run_count": 2681,
|
||||
"run_count": 2682,
|
||||
"cover_image_url": "https://tjzk.replicate.delivery/models_models_cover_image/f357612c-ef1c-4a61-94a4-8f02717a51a1/toolkit-cover.jpg",
|
||||
"default_example": {
|
||||
"id": "43ems6bbbt5czcn2ktxe4xjtc4",
|
||||
|
||||
File diff suppressed because one or more lines are too long
@@ -0,0 +1,527 @@
|
||||
{
|
||||
"url": "https://replicate.com/lucataco/moondream2",
|
||||
"owner": "lucataco",
|
||||
"name": "moondream2",
|
||||
"description": "moondream2 is a small vision language model designed to run efficiently on edge devices",
|
||||
"visibility": "public",
|
||||
"github_url": "https://github.com/lucataco/cog-moondream2",
|
||||
"paper_url": null,
|
||||
"license_url": "https://github.com/vikhyat/moondream?tab=Apache-2.0-1-ov-file#readme",
|
||||
"run_count": 70131,
|
||||
"cover_image_url": "https://tjzk.replicate.delivery/models_models_cover_image/3cbb4e68-08b8-4e82-8e83-3300f877dd0f/moondream2.png",
|
||||
"default_example": {
|
||||
"id": "4jjwmddbhu3dozotzptvgigifa",
|
||||
"model": "lucataco/moondream2",
|
||||
"version": "392a53ac3f36d630d2d07ce0e78142acaccc338d6caeeb8ca552fe5baca2781e",
|
||||
"status": "succeeded",
|
||||
"input": {
|
||||
"image": "https://replicate.delivery/pbxt/KZKNhDQHqycw8Op7w056J8YTX5Bnb7xVcLiyB4le7oUgT2cY/moondream2.png",
|
||||
"prompt": "Describe this image"
|
||||
},
|
||||
"output": [
|
||||
"",
|
||||
" ",
|
||||
"The ",
|
||||
"image ",
|
||||
"features ",
|
||||
"a ",
|
||||
"blue ",
|
||||
"character ",
|
||||
"with ",
|
||||
"a ",
|
||||
"",
|
||||
"smiley ",
|
||||
"",
|
||||
"face, ",
|
||||
"likely ",
|
||||
"representing ",
|
||||
"a ",
|
||||
"",
|
||||
"mooncake ",
|
||||
"or ",
|
||||
"a ",
|
||||
"similar ",
|
||||
"type ",
|
||||
"of ",
|
||||
"",
|
||||
"food. ",
|
||||
"The ",
|
||||
"character ",
|
||||
"is ",
|
||||
"positioned ",
|
||||
"in ",
|
||||
"the ",
|
||||
"center ",
|
||||
"of ",
|
||||
"the ",
|
||||
"",
|
||||
"image, ",
|
||||
"with ",
|
||||
"the ",
|
||||
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@@ -0,0 +1,504 @@
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|
||||
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||||
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||||
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||||
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|
||||
"get": "https://api.replicate.com/v1/predictions/wo45dqtbfv6zj3pwqldqj3qbxe",
|
||||
"cancel": "https://api.replicate.com/v1/predictions/wo45dqtbfv6zj3pwqldqj3qbxe/cancel"
|
||||
}
|
||||
},
|
||||
"latest_version": {
|
||||
"id": "d59e83ee13c42b137aee558c483e3acc0a8ecdacb1444a7be48152f008dcc195",
|
||||
"created_at": "2024-01-08T15:17:33.283172+00:00",
|
||||
"cog_version": "0.8.6",
|
||||
"openapi_schema": {
|
||||
"info": {
|
||||
"title": "Cog",
|
||||
"version": "0.1.0"
|
||||
},
|
||||
"paths": {
|
||||
"/": {
|
||||
"get": {
|
||||
"summary": "Root",
|
||||
"responses": {
|
||||
"200": {
|
||||
"content": {
|
||||
"application/json": {
|
||||
"schema": {
|
||||
"title": "Response Root Get"
|
||||
}
|
||||
}
|
||||
},
|
||||
"description": "Successful Response"
|
||||
}
|
||||
},
|
||||
"operationId": "root__get"
|
||||
}
|
||||
},
|
||||
"/shutdown": {
|
||||
"post": {
|
||||
"summary": "Start Shutdown",
|
||||
"responses": {
|
||||
"200": {
|
||||
"content": {
|
||||
"application/json": {
|
||||
"schema": {
|
||||
"title": "Response Start Shutdown Shutdown Post"
|
||||
}
|
||||
}
|
||||
},
|
||||
"description": "Successful Response"
|
||||
}
|
||||
},
|
||||
"operationId": "start_shutdown_shutdown_post"
|
||||
}
|
||||
},
|
||||
"/predictions": {
|
||||
"post": {
|
||||
"summary": "Predict",
|
||||
"responses": {
|
||||
"200": {
|
||||
"content": {
|
||||
"application/json": {
|
||||
"schema": {
|
||||
"$ref": "#/components/schemas/PredictionResponse"
|
||||
}
|
||||
}
|
||||
},
|
||||
"description": "Successful Response"
|
||||
},
|
||||
"422": {
|
||||
"content": {
|
||||
"application/json": {
|
||||
"schema": {
|
||||
"$ref": "#/components/schemas/HTTPValidationError"
|
||||
}
|
||||
}
|
||||
},
|
||||
"description": "Validation Error"
|
||||
}
|
||||
},
|
||||
"parameters": [
|
||||
{
|
||||
"in": "header",
|
||||
"name": "prefer",
|
||||
"schema": {
|
||||
"type": "string",
|
||||
"title": "Prefer"
|
||||
},
|
||||
"required": false
|
||||
}
|
||||
],
|
||||
"description": "Run a single prediction on the model",
|
||||
"operationId": "predict_predictions_post",
|
||||
"requestBody": {
|
||||
"content": {
|
||||
"application/json": {
|
||||
"schema": {
|
||||
"$ref": "#/components/schemas/PredictionRequest"
|
||||
}
|
||||
}
|
||||
}
|
||||
}
|
||||
}
|
||||
},
|
||||
"/health-check": {
|
||||
"get": {
|
||||
"summary": "Healthcheck",
|
||||
"responses": {
|
||||
"200": {
|
||||
"content": {
|
||||
"application/json": {
|
||||
"schema": {
|
||||
"title": "Response Healthcheck Health Check Get"
|
||||
}
|
||||
}
|
||||
},
|
||||
"description": "Successful Response"
|
||||
}
|
||||
},
|
||||
"operationId": "healthcheck_health_check_get"
|
||||
}
|
||||
},
|
||||
"/predictions/{prediction_id}": {
|
||||
"put": {
|
||||
"summary": "Predict Idempotent",
|
||||
"responses": {
|
||||
"200": {
|
||||
"content": {
|
||||
"application/json": {
|
||||
"schema": {
|
||||
"$ref": "#/components/schemas/PredictionResponse"
|
||||
}
|
||||
}
|
||||
},
|
||||
"description": "Successful Response"
|
||||
},
|
||||
"422": {
|
||||
"content": {
|
||||
"application/json": {
|
||||
"schema": {
|
||||
"$ref": "#/components/schemas/HTTPValidationError"
|
||||
}
|
||||
}
|
||||
},
|
||||
"description": "Validation Error"
|
||||
}
|
||||
},
|
||||
"parameters": [
|
||||
{
|
||||
"in": "path",
|
||||
"name": "prediction_id",
|
||||
"schema": {
|
||||
"type": "string",
|
||||
"title": "Prediction ID"
|
||||
},
|
||||
"required": true
|
||||
},
|
||||
{
|
||||
"in": "header",
|
||||
"name": "prefer",
|
||||
"schema": {
|
||||
"type": "string",
|
||||
"title": "Prefer"
|
||||
},
|
||||
"required": false
|
||||
}
|
||||
],
|
||||
"description": "Run a single prediction on the model (idempotent creation).",
|
||||
"operationId": "predict_idempotent_predictions__prediction_id__put",
|
||||
"requestBody": {
|
||||
"content": {
|
||||
"application/json": {
|
||||
"schema": {
|
||||
"allOf": [
|
||||
{
|
||||
"$ref": "#/components/schemas/PredictionRequest"
|
||||
}
|
||||
],
|
||||
"title": "Prediction Request"
|
||||
}
|
||||
}
|
||||
},
|
||||
"required": true
|
||||
}
|
||||
}
|
||||
},
|
||||
"/predictions/{prediction_id}/cancel": {
|
||||
"post": {
|
||||
"summary": "Cancel",
|
||||
"responses": {
|
||||
"200": {
|
||||
"content": {
|
||||
"application/json": {
|
||||
"schema": {
|
||||
"title": "Response Cancel Predictions Prediction Id Cancel Post"
|
||||
}
|
||||
}
|
||||
},
|
||||
"description": "Successful Response"
|
||||
},
|
||||
"422": {
|
||||
"content": {
|
||||
"application/json": {
|
||||
"schema": {
|
||||
"$ref": "#/components/schemas/HTTPValidationError"
|
||||
}
|
||||
}
|
||||
},
|
||||
"description": "Validation Error"
|
||||
}
|
||||
},
|
||||
"parameters": [
|
||||
{
|
||||
"in": "path",
|
||||
"name": "prediction_id",
|
||||
"schema": {
|
||||
"type": "string",
|
||||
"title": "Prediction ID"
|
||||
},
|
||||
"required": true
|
||||
}
|
||||
],
|
||||
"description": "Cancel a running prediction",
|
||||
"operationId": "cancel_predictions__prediction_id__cancel_post"
|
||||
}
|
||||
}
|
||||
},
|
||||
"openapi": "3.0.2",
|
||||
"components": {
|
||||
"schemas": {
|
||||
"Input": {
|
||||
"type": "object",
|
||||
"title": "Input",
|
||||
"required": [
|
||||
"image"
|
||||
],
|
||||
"properties": {
|
||||
"seed": {
|
||||
"type": "integer",
|
||||
"title": "Seed",
|
||||
"x-order": 7,
|
||||
"description": "Random seed. Leave blank to randomize the seed"
|
||||
},
|
||||
"image": {
|
||||
"type": "string",
|
||||
"title": "Image",
|
||||
"format": "uri",
|
||||
"x-order": 0,
|
||||
"description": "Input image"
|
||||
},
|
||||
"prompt": {
|
||||
"type": "string",
|
||||
"title": "Prompt",
|
||||
"default": "Frog, clean, high-resolution, 8k, best quality, masterpiece",
|
||||
"x-order": 1,
|
||||
"description": "Prompt"
|
||||
},
|
||||
"n_prompt": {
|
||||
"type": "string",
|
||||
"title": "N Prompt",
|
||||
"default": "dotted, noise, blur, lowres, oversmooth, longbody, bad anatomy, bad hands, missing fingers, extra digit, fewer digits, cropped, worst quality, low quality",
|
||||
"x-order": 2,
|
||||
"description": "Negative Prompt"
|
||||
},
|
||||
"denoise_steps": {
|
||||
"type": "integer",
|
||||
"title": "Denoise Steps",
|
||||
"default": 20,
|
||||
"maximum": 50,
|
||||
"minimum": 10,
|
||||
"x-order": 3,
|
||||
"description": "Denoise Steps"
|
||||
},
|
||||
"guidance_scale": {
|
||||
"type": "number",
|
||||
"title": "Guidance Scale",
|
||||
"default": 7.5,
|
||||
"maximum": 10,
|
||||
"minimum": 0.5,
|
||||
"x-order": 6,
|
||||
"description": "Guidance Scale"
|
||||
},
|
||||
"upsample_scale": {
|
||||
"type": "integer",
|
||||
"title": "Upsample Scale",
|
||||
"default": 2,
|
||||
"maximum": 4,
|
||||
"minimum": 1,
|
||||
"x-order": 4,
|
||||
"description": "Upsample Scale"
|
||||
},
|
||||
"conditioning_scale": {
|
||||
"type": "number",
|
||||
"title": "Conditioning Scale",
|
||||
"default": 1.1,
|
||||
"maximum": 1.5,
|
||||
"minimum": 0.5,
|
||||
"x-order": 5,
|
||||
"description": "Conditioning Scale"
|
||||
}
|
||||
}
|
||||
},
|
||||
"Output": {
|
||||
"type": "string",
|
||||
"title": "Output",
|
||||
"format": "uri"
|
||||
},
|
||||
"Status": {
|
||||
"enum": [
|
||||
"starting",
|
||||
"processing",
|
||||
"succeeded",
|
||||
"canceled",
|
||||
"failed"
|
||||
],
|
||||
"type": "string",
|
||||
"title": "Status",
|
||||
"description": "An enumeration."
|
||||
},
|
||||
"WebhookEvent": {
|
||||
"enum": [
|
||||
"start",
|
||||
"output",
|
||||
"logs",
|
||||
"completed"
|
||||
],
|
||||
"type": "string",
|
||||
"title": "WebhookEvent",
|
||||
"description": "An enumeration."
|
||||
},
|
||||
"ValidationError": {
|
||||
"type": "object",
|
||||
"title": "ValidationError",
|
||||
"required": [
|
||||
"loc",
|
||||
"msg",
|
||||
"type"
|
||||
],
|
||||
"properties": {
|
||||
"loc": {
|
||||
"type": "array",
|
||||
"items": {
|
||||
"anyOf": [
|
||||
{
|
||||
"type": "string"
|
||||
},
|
||||
{
|
||||
"type": "integer"
|
||||
}
|
||||
]
|
||||
},
|
||||
"title": "Location"
|
||||
},
|
||||
"msg": {
|
||||
"type": "string",
|
||||
"title": "Message"
|
||||
},
|
||||
"type": {
|
||||
"type": "string",
|
||||
"title": "Error Type"
|
||||
}
|
||||
}
|
||||
},
|
||||
"PredictionRequest": {
|
||||
"type": "object",
|
||||
"title": "PredictionRequest",
|
||||
"properties": {
|
||||
"id": {
|
||||
"type": "string",
|
||||
"title": "Id"
|
||||
},
|
||||
"input": {
|
||||
"$ref": "#/components/schemas/Input"
|
||||
},
|
||||
"webhook": {
|
||||
"type": "string",
|
||||
"title": "Webhook",
|
||||
"format": "uri",
|
||||
"maxLength": 65536,
|
||||
"minLength": 1
|
||||
},
|
||||
"created_at": {
|
||||
"type": "string",
|
||||
"title": "Created At",
|
||||
"format": "date-time"
|
||||
},
|
||||
"output_file_prefix": {
|
||||
"type": "string",
|
||||
"title": "Output File Prefix"
|
||||
},
|
||||
"webhook_events_filter": {
|
||||
"type": "array",
|
||||
"items": {
|
||||
"$ref": "#/components/schemas/WebhookEvent"
|
||||
},
|
||||
"default": [
|
||||
"start",
|
||||
"output",
|
||||
"logs",
|
||||
"completed"
|
||||
]
|
||||
}
|
||||
}
|
||||
},
|
||||
"PredictionResponse": {
|
||||
"type": "object",
|
||||
"title": "PredictionResponse",
|
||||
"properties": {
|
||||
"id": {
|
||||
"type": "string",
|
||||
"title": "Id"
|
||||
},
|
||||
"logs": {
|
||||
"type": "string",
|
||||
"title": "Logs",
|
||||
"default": ""
|
||||
},
|
||||
"error": {
|
||||
"type": "string",
|
||||
"title": "Error"
|
||||
},
|
||||
"input": {
|
||||
"$ref": "#/components/schemas/Input"
|
||||
},
|
||||
"output": {
|
||||
"$ref": "#/components/schemas/Output"
|
||||
},
|
||||
"status": {
|
||||
"$ref": "#/components/schemas/Status"
|
||||
},
|
||||
"metrics": {
|
||||
"type": "object",
|
||||
"title": "Metrics"
|
||||
},
|
||||
"version": {
|
||||
"type": "string",
|
||||
"title": "Version"
|
||||
},
|
||||
"created_at": {
|
||||
"type": "string",
|
||||
"title": "Created At",
|
||||
"format": "date-time"
|
||||
},
|
||||
"started_at": {
|
||||
"type": "string",
|
||||
"title": "Started At",
|
||||
"format": "date-time"
|
||||
},
|
||||
"completed_at": {
|
||||
"type": "string",
|
||||
"title": "Completed At",
|
||||
"format": "date-time"
|
||||
}
|
||||
}
|
||||
},
|
||||
"HTTPValidationError": {
|
||||
"type": "object",
|
||||
"title": "HTTPValidationError",
|
||||
"properties": {
|
||||
"detail": {
|
||||
"type": "array",
|
||||
"items": {
|
||||
"$ref": "#/components/schemas/ValidationError"
|
||||
},
|
||||
"title": "Detail"
|
||||
}
|
||||
}
|
||||
}
|
||||
}
|
||||
}
|
||||
}
|
||||
}
|
||||
}
|
||||
@@ -0,0 +1,449 @@
|
||||
{
|
||||
"url": "https://replicate.com/lucataco/qwen-vl-chat",
|
||||
"owner": "lucataco",
|
||||
"name": "qwen-vl-chat",
|
||||
"description": "A multimodal LLM-based AI assistant, which is trained with alignment techniques. Qwen-VL-Chat supports more flexible interaction, such as multi-round question answering, and creative capabilities.",
|
||||
"visibility": "public",
|
||||
"github_url": "https://github.com/lucataco/cog-qwen-vl-chat",
|
||||
"paper_url": "https://huggingface.co/papers/2308.12966",
|
||||
"license_url": null,
|
||||
"run_count": 755337,
|
||||
"cover_image_url": "https://tjzk.replicate.delivery/models_models_cover_image/7cd09060-b91e-4261-a03e-ed772aa2e044/qwen.jpg",
|
||||
"default_example": {
|
||||
"id": "hkeljvlbsmzjhsuoxqupubwi44",
|
||||
"model": "lucataco/qwen-vl-chat",
|
||||
"version": "50881b153b4d5f72b3db697e2bbad23bb1277ab741c5b52d80cd6ee17ea660e9",
|
||||
"status": "succeeded",
|
||||
"input": {
|
||||
"image": "https://replicate.delivery/pbxt/JSwt0WCMKtolbjYYo6WYIE01Iemz3etQD6ugKxxeiVVlMgjF/Menu.jpeg",
|
||||
"prompt": "How much would I pay if I want to order two Salmon Burger and three Meat Lover\\'s Pizza? Think carefully step by step."
|
||||
},
|
||||
"output": "If you want to order two Salmon Burgers and three Meat Lover's Pizzas, the total cost would depend on the price of each item on the menu. \n\nLet's assume that the price of a Salmon Burger is $10 and the price of a Meat Lover's Pizza is $12. In this case, the total cost for two Salmon Burgers would be $20 and the total cost for three Meat Lover's Pizzas would be $36.\n\nSo, the total cost for two Salmon Burgers and three Meat Lover's Pizzas would be $56 ($20 for two Salmon Burgers + $36 for three Meat Lover's Pizzas).",
|
||||
"logs": null,
|
||||
"error": null,
|
||||
"metrics": {
|
||||
"predict_time": 6.278623,
|
||||
"total_time": 271.134786
|
||||
},
|
||||
"created_at": "2023-10-15T03:37:52.522283Z",
|
||||
"started_at": "2023-10-15T03:42:17.378446Z",
|
||||
"completed_at": "2023-10-15T03:42:23.657069Z",
|
||||
"urls": {
|
||||
"get": "https://api.replicate.com/v1/predictions/hkeljvlbsmzjhsuoxqupubwi44",
|
||||
"cancel": "https://api.replicate.com/v1/predictions/hkeljvlbsmzjhsuoxqupubwi44/cancel"
|
||||
}
|
||||
},
|
||||
"latest_version": {
|
||||
"id": "50881b153b4d5f72b3db697e2bbad23bb1277ab741c5b52d80cd6ee17ea660e9",
|
||||
"created_at": "2023-10-15T03:37:42.989695+00:00",
|
||||
"cog_version": "0.8.6",
|
||||
"openapi_schema": {
|
||||
"info": {
|
||||
"title": "Cog",
|
||||
"version": "0.1.0"
|
||||
},
|
||||
"paths": {
|
||||
"/": {
|
||||
"get": {
|
||||
"summary": "Root",
|
||||
"responses": {
|
||||
"200": {
|
||||
"content": {
|
||||
"application/json": {
|
||||
"schema": {
|
||||
"title": "Response Root Get"
|
||||
}
|
||||
}
|
||||
},
|
||||
"description": "Successful Response"
|
||||
}
|
||||
},
|
||||
"operationId": "root__get"
|
||||
}
|
||||
},
|
||||
"/shutdown": {
|
||||
"post": {
|
||||
"summary": "Start Shutdown",
|
||||
"responses": {
|
||||
"200": {
|
||||
"content": {
|
||||
"application/json": {
|
||||
"schema": {
|
||||
"title": "Response Start Shutdown Shutdown Post"
|
||||
}
|
||||
}
|
||||
},
|
||||
"description": "Successful Response"
|
||||
}
|
||||
},
|
||||
"operationId": "start_shutdown_shutdown_post"
|
||||
}
|
||||
},
|
||||
"/predictions": {
|
||||
"post": {
|
||||
"summary": "Predict",
|
||||
"responses": {
|
||||
"200": {
|
||||
"content": {
|
||||
"application/json": {
|
||||
"schema": {
|
||||
"$ref": "#/components/schemas/PredictionResponse"
|
||||
}
|
||||
}
|
||||
},
|
||||
"description": "Successful Response"
|
||||
},
|
||||
"422": {
|
||||
"content": {
|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
"description": "Validation Error"
|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
"title": "Prefer"
|
||||
},
|
||||
"required": false
|
||||
}
|
||||
],
|
||||
"description": "Run a single prediction on the model",
|
||||
"operationId": "predict_predictions_post",
|
||||
"requestBody": {
|
||||
"content": {
|
||||
"application/json": {
|
||||
"schema": {
|
||||
"$ref": "#/components/schemas/PredictionRequest"
|
||||
}
|
||||
}
|
||||
}
|
||||
}
|
||||
}
|
||||
},
|
||||
"/health-check": {
|
||||
"get": {
|
||||
"summary": "Healthcheck",
|
||||
"responses": {
|
||||
"200": {
|
||||
"content": {
|
||||
"application/json": {
|
||||
"schema": {
|
||||
"title": "Response Healthcheck Health Check Get"
|
||||
}
|
||||
}
|
||||
},
|
||||
"description": "Successful Response"
|
||||
}
|
||||
},
|
||||
"operationId": "healthcheck_health_check_get"
|
||||
}
|
||||
},
|
||||
"/predictions/{prediction_id}": {
|
||||
"put": {
|
||||
"summary": "Predict Idempotent",
|
||||
"responses": {
|
||||
"200": {
|
||||
"content": {
|
||||
"application/json": {
|
||||
"schema": {
|
||||
"$ref": "#/components/schemas/PredictionResponse"
|
||||
}
|
||||
}
|
||||
},
|
||||
"description": "Successful Response"
|
||||
},
|
||||
"422": {
|
||||
"content": {
|
||||
"application/json": {
|
||||
"schema": {
|
||||
"$ref": "#/components/schemas/HTTPValidationError"
|
||||
}
|
||||
}
|
||||
},
|
||||
"description": "Validation Error"
|
||||
}
|
||||
},
|
||||
"parameters": [
|
||||
{
|
||||
"in": "path",
|
||||
"name": "prediction_id",
|
||||
"schema": {
|
||||
"type": "string",
|
||||
"title": "Prediction ID"
|
||||
},
|
||||
"required": true
|
||||
},
|
||||
{
|
||||
"in": "header",
|
||||
"name": "prefer",
|
||||
"schema": {
|
||||
"type": "string",
|
||||
"title": "Prefer"
|
||||
},
|
||||
"required": false
|
||||
}
|
||||
],
|
||||
"description": "Run a single prediction on the model (idempotent creation).",
|
||||
"operationId": "predict_idempotent_predictions__prediction_id__put",
|
||||
"requestBody": {
|
||||
"content": {
|
||||
"application/json": {
|
||||
"schema": {
|
||||
"allOf": [
|
||||
{
|
||||
"$ref": "#/components/schemas/PredictionRequest"
|
||||
}
|
||||
],
|
||||
"title": "Prediction Request"
|
||||
}
|
||||
}
|
||||
},
|
||||
"required": true
|
||||
}
|
||||
}
|
||||
},
|
||||
"/predictions/{prediction_id}/cancel": {
|
||||
"post": {
|
||||
"summary": "Cancel",
|
||||
"responses": {
|
||||
"200": {
|
||||
"content": {
|
||||
"application/json": {
|
||||
"schema": {
|
||||
"title": "Response Cancel Predictions Prediction Id Cancel Post"
|
||||
}
|
||||
}
|
||||
},
|
||||
"description": "Successful Response"
|
||||
},
|
||||
"422": {
|
||||
"content": {
|
||||
"application/json": {
|
||||
"schema": {
|
||||
"$ref": "#/components/schemas/HTTPValidationError"
|
||||
}
|
||||
}
|
||||
},
|
||||
"description": "Validation Error"
|
||||
}
|
||||
},
|
||||
"parameters": [
|
||||
{
|
||||
"in": "path",
|
||||
"name": "prediction_id",
|
||||
"schema": {
|
||||
"type": "string",
|
||||
"title": "Prediction ID"
|
||||
},
|
||||
"required": true
|
||||
}
|
||||
],
|
||||
"description": "Cancel a running prediction",
|
||||
"operationId": "cancel_predictions__prediction_id__cancel_post"
|
||||
}
|
||||
}
|
||||
},
|
||||
"openapi": "3.0.2",
|
||||
"components": {
|
||||
"schemas": {
|
||||
"Input": {
|
||||
"type": "object",
|
||||
"title": "Input",
|
||||
"required": [
|
||||
"image"
|
||||
],
|
||||
"properties": {
|
||||
"image": {
|
||||
"type": "string",
|
||||
"title": "Image",
|
||||
"format": "uri",
|
||||
"x-order": 0,
|
||||
"description": "Input image"
|
||||
},
|
||||
"prompt": {
|
||||
"type": "string",
|
||||
"title": "Prompt",
|
||||
"default": "What is the name of the movie in the poster?",
|
||||
"x-order": 1,
|
||||
"description": "Question"
|
||||
}
|
||||
}
|
||||
},
|
||||
"Output": {
|
||||
"type": "string",
|
||||
"title": "Output"
|
||||
},
|
||||
"Status": {
|
||||
"enum": [
|
||||
"starting",
|
||||
"processing",
|
||||
"succeeded",
|
||||
"canceled",
|
||||
"failed"
|
||||
],
|
||||
"type": "string",
|
||||
"title": "Status",
|
||||
"description": "An enumeration."
|
||||
},
|
||||
"WebhookEvent": {
|
||||
"enum": [
|
||||
"start",
|
||||
"output",
|
||||
"logs",
|
||||
"completed"
|
||||
],
|
||||
"type": "string",
|
||||
"title": "WebhookEvent",
|
||||
"description": "An enumeration."
|
||||
},
|
||||
"ValidationError": {
|
||||
"type": "object",
|
||||
"title": "ValidationError",
|
||||
"required": [
|
||||
"loc",
|
||||
"msg",
|
||||
"type"
|
||||
],
|
||||
"properties": {
|
||||
"loc": {
|
||||
"type": "array",
|
||||
"items": {
|
||||
"anyOf": [
|
||||
{
|
||||
"type": "string"
|
||||
},
|
||||
{
|
||||
"type": "integer"
|
||||
}
|
||||
]
|
||||
},
|
||||
"title": "Location"
|
||||
},
|
||||
"msg": {
|
||||
"type": "string",
|
||||
"title": "Message"
|
||||
},
|
||||
"type": {
|
||||
"type": "string",
|
||||
"title": "Error Type"
|
||||
}
|
||||
}
|
||||
},
|
||||
"PredictionRequest": {
|
||||
"type": "object",
|
||||
"title": "PredictionRequest",
|
||||
"properties": {
|
||||
"id": {
|
||||
"type": "string",
|
||||
"title": "Id"
|
||||
},
|
||||
"input": {
|
||||
"$ref": "#/components/schemas/Input"
|
||||
},
|
||||
"webhook": {
|
||||
"type": "string",
|
||||
"title": "Webhook",
|
||||
"format": "uri",
|
||||
"maxLength": 65536,
|
||||
"minLength": 1
|
||||
},
|
||||
"created_at": {
|
||||
"type": "string",
|
||||
"title": "Created At",
|
||||
"format": "date-time"
|
||||
},
|
||||
"output_file_prefix": {
|
||||
"type": "string",
|
||||
"title": "Output File Prefix"
|
||||
},
|
||||
"webhook_events_filter": {
|
||||
"type": "array",
|
||||
"items": {
|
||||
"$ref": "#/components/schemas/WebhookEvent"
|
||||
},
|
||||
"default": [
|
||||
"start",
|
||||
"output",
|
||||
"logs",
|
||||
"completed"
|
||||
]
|
||||
}
|
||||
}
|
||||
},
|
||||
"PredictionResponse": {
|
||||
"type": "object",
|
||||
"title": "PredictionResponse",
|
||||
"properties": {
|
||||
"id": {
|
||||
"type": "string",
|
||||
"title": "Id"
|
||||
},
|
||||
"logs": {
|
||||
"type": "string",
|
||||
"title": "Logs",
|
||||
"default": ""
|
||||
},
|
||||
"error": {
|
||||
"type": "string",
|
||||
"title": "Error"
|
||||
},
|
||||
"input": {
|
||||
"$ref": "#/components/schemas/Input"
|
||||
},
|
||||
"output": {
|
||||
"$ref": "#/components/schemas/Output"
|
||||
},
|
||||
"status": {
|
||||
"$ref": "#/components/schemas/Status"
|
||||
},
|
||||
"metrics": {
|
||||
"type": "object",
|
||||
"title": "Metrics"
|
||||
},
|
||||
"version": {
|
||||
"type": "string",
|
||||
"title": "Version"
|
||||
},
|
||||
"created_at": {
|
||||
"type": "string",
|
||||
"title": "Created At",
|
||||
"format": "date-time"
|
||||
},
|
||||
"started_at": {
|
||||
"type": "string",
|
||||
"title": "Started At",
|
||||
"format": "date-time"
|
||||
},
|
||||
"completed_at": {
|
||||
"type": "string",
|
||||
"title": "Completed At",
|
||||
"format": "date-time"
|
||||
}
|
||||
}
|
||||
},
|
||||
"HTTPValidationError": {
|
||||
"type": "object",
|
||||
"title": "HTTPValidationError",
|
||||
"properties": {
|
||||
"detail": {
|
||||
"type": "array",
|
||||
"items": {
|
||||
"$ref": "#/components/schemas/ValidationError"
|
||||
},
|
||||
"title": "Detail"
|
||||
}
|
||||
}
|
||||
}
|
||||
}
|
||||
}
|
||||
}
|
||||
}
|
||||
}
|
||||
@@ -7,7 +7,7 @@
|
||||
"github_url": "https://github.com/a16z-infra/cog-llama-template",
|
||||
"paper_url": "https://ai.meta.com/research/publications/llama-2-open-foundation-and-fine-tuned-chat-models/",
|
||||
"license_url": "https://ai.meta.com/resources/models-and-libraries/llama-downloads/",
|
||||
"run_count": 7250923,
|
||||
"run_count": 7251084,
|
||||
"cover_image_url": "https://tjzk.replicate.delivery/models_models_cover_image/264ff5d2-0672-4eb4-9f2c-cea13af0ccbf/future-llama-70b-chat.png",
|
||||
"default_example": {
|
||||
"id": "ssetyuzew3nbe5ndybmon5wmmq",
|
||||
|
||||
@@ -0,0 +1,864 @@
|
||||
{
|
||||
"url": "https://replicate.com/meta/llama-2-7b-chat",
|
||||
"owner": "meta",
|
||||
"name": "llama-2-7b-chat",
|
||||
"description": "A 7 billion parameter language model from Meta, fine tuned for chat completions",
|
||||
"visibility": "public",
|
||||
"github_url": "https://github.com/a16z-infra/cog-llama-template",
|
||||
"paper_url": "https://ai.meta.com/research/publications/llama-2-open-foundation-and-fine-tuned-chat-models/",
|
||||
"license_url": "https://ai.meta.com/resources/models-and-libraries/llama-downloads/",
|
||||
"run_count": 8000388,
|
||||
"cover_image_url": "https://tjzk.replicate.delivery/models_models_cover_image/33ad1ead-8954-4b3b-bd46-125c7e18143f/llama-logo.png",
|
||||
"default_example": {
|
||||
"id": "7xhvtyjbutohmf2ia5k2men57y",
|
||||
"model": "meta/llama-2-7b-chat",
|
||||
"version": "f1d50bb24186c52daae319ca8366e53debdaa9e0ae7ff976e918df752732ccc4",
|
||||
"status": "succeeded",
|
||||
"input": {
|
||||
"top_p": 1,
|
||||
"prompt": "Tell me how to tailor a men's suit so I look fashionable.",
|
||||
"temperature": 0.75,
|
||||
"system_prompt": "You are a helpful, respectful and honest assistant. Always answer as helpfully as possible, while being safe. Your answers should not include any harmful, unethical, racist, sexist, toxic, dangerous, or illegal content. Please ensure that your responses are socially unbiased and positive in nature.\n\nIf a question does not make any sense, or is not factually coherent, explain why instead of answering something not correct. If you don't know the answer to a question, please don't share false information.",
|
||||
"max_new_tokens": 800,
|
||||
"repetition_penalty": 1
|
||||
},
|
||||
"output": [
|
||||
" Of",
|
||||
" course,",
|
||||
" I'd",
|
||||
" be",
|
||||
" happy",
|
||||
" to",
|
||||
" help!",
|
||||
" Tailoring",
|
||||
" a",
|
||||
" men's",
|
||||
" suit",
|
||||
" can",
|
||||
" make",
|
||||
" a",
|
||||
" huge",
|
||||
" difference",
|
||||
" in",
|
||||
" how",
|
||||
" fashionable",
|
||||
" and",
|
||||
" put-together",
|
||||
" you",
|
||||
" look.",
|
||||
" Here",
|
||||
" are",
|
||||
" some",
|
||||
" tips",
|
||||
" to",
|
||||
" help",
|
||||
" you",
|
||||
" tailor",
|
||||
" a",
|
||||
" men's",
|
||||
" suit",
|
||||
" that",
|
||||
" will",
|
||||
" make",
|
||||
" you",
|
||||
" look",
|
||||
" stylish",
|
||||
" and",
|
||||
" fashionable:\n1.",
|
||||
" Know",
|
||||
" your",
|
||||
" measurements:",
|
||||
" Before",
|
||||
" you",
|
||||
" start",
|
||||
" tailoring",
|
||||
" your",
|
||||
" suit,",
|
||||
" it's",
|
||||
" important",
|
||||
" to",
|
||||
" take",
|
||||
" your",
|
||||
" measurements",
|
||||
" to",
|
||||
" ensure",
|
||||
" a",
|
||||
" proper",
|
||||
" fit.",
|
||||
" Measure",
|
||||
" your",
|
||||
" chest,",
|
||||
" waist,",
|
||||
" inseam,",
|
||||
" and",
|
||||
" arm",
|
||||
" length",
|
||||
" to",
|
||||
" give",
|
||||
" to",
|
||||
" your",
|
||||
" tailor.\n2.",
|
||||
" Choose",
|
||||
" the",
|
||||
" right",
|
||||
" fabric:",
|
||||
" The",
|
||||
" fabric",
|
||||
" of",
|
||||
" your",
|
||||
" suit",
|
||||
" can",
|
||||
" greatly",
|
||||
" impact",
|
||||
" how",
|
||||
" it",
|
||||
" looks",
|
||||
" and",
|
||||
" feels.",
|
||||
" Consider",
|
||||
" the",
|
||||
" occasion,",
|
||||
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|
||||
" and",
|
||||
" your",
|
||||
" personal",
|
||||
" style",
|
||||
" when",
|
||||
" choosing",
|
||||
" the",
|
||||
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|
||||
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|
||||
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|
||||
" a",
|
||||
" lightweight",
|
||||
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|
||||
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|
||||
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|
||||
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|
||||
" is",
|
||||
" perfect",
|
||||
" for",
|
||||
" spring",
|
||||
" and",
|
||||
" summer,",
|
||||
" while",
|
||||
" a",
|
||||
" rich,",
|
||||
" luxurious",
|
||||
" wool",
|
||||
" suit",
|
||||
" is",
|
||||
" great",
|
||||
" for",
|
||||
" formal",
|
||||
" events.\n3.",
|
||||
" Get",
|
||||
" the",
|
||||
" right",
|
||||
" fit:",
|
||||
" A",
|
||||
" well-fitted",
|
||||
" suit",
|
||||
" should",
|
||||
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|
||||
" your",
|
||||
" body",
|
||||
" without",
|
||||
" being",
|
||||
" too",
|
||||
" tight",
|
||||
" or",
|
||||
" too",
|
||||
" loose.",
|
||||
" Make",
|
||||
" sure",
|
||||
" the",
|
||||
" jacket",
|
||||
" is",
|
||||
" long",
|
||||
" enough",
|
||||
" to",
|
||||
" cover",
|
||||
" your",
|
||||
" buttocks",
|
||||
" when",
|
||||
" you",
|
||||
" stand",
|
||||
" up",
|
||||
" straight,",
|
||||
" and",
|
||||
" the",
|
||||
" pants",
|
||||
" should",
|
||||
" be",
|
||||
" long",
|
||||
" enough",
|
||||
" to",
|
||||
" reach",
|
||||
" your",
|
||||
" ankles.\n4.",
|
||||
" Pay",
|
||||
" attention",
|
||||
" to",
|
||||
" the",
|
||||
" shoulders:",
|
||||
" The",
|
||||
" shoulders",
|
||||
" of",
|
||||
" your",
|
||||
" suit",
|
||||
" should",
|
||||
" be",
|
||||
" well-balanced",
|
||||
" and",
|
||||
" not",
|
||||
" too",
|
||||
" narrow",
|
||||
" or",
|
||||
" too",
|
||||
" wide.",
|
||||
" You",
|
||||
" can",
|
||||
" use",
|
||||
" a",
|
||||
" shoulder",
|
||||
" pad",
|
||||
" to",
|
||||
" add",
|
||||
" structure",
|
||||
" and",
|
||||
" definition",
|
||||
" to",
|
||||
" your",
|
||||
" shoulders",
|
||||
" if",
|
||||
" needed.\n5.",
|
||||
" Take",
|
||||
" care",
|
||||
" of",
|
||||
" the",
|
||||
" details:",
|
||||
" Pay",
|
||||
" attention",
|
||||
" to",
|
||||
" the",
|
||||
" little",
|
||||
" details",
|
||||
" that",
|
||||
" can",
|
||||
" make",
|
||||
" a",
|
||||
" big",
|
||||
" difference",
|
||||
" in",
|
||||
" how",
|
||||
" your",
|
||||
" suit",
|
||||
" looks.",
|
||||
" Make",
|
||||
" sure",
|
||||
" the",
|
||||
" pants",
|
||||
" are",
|
||||
" hemmed",
|
||||
" correctly,",
|
||||
" and",
|
||||
" the",
|
||||
" jacket",
|
||||
" has",
|
||||
" a",
|
||||
" clean,",
|
||||
" even",
|
||||
" hem.\n6.",
|
||||
" Get",
|
||||
" it",
|
||||
" altered:",
|
||||
" If",
|
||||
" you",
|
||||
" want",
|
||||
" to",
|
||||
" really",
|
||||
" make",
|
||||
" your",
|
||||
" suit",
|
||||
" stand",
|
||||
" out,",
|
||||
" consider",
|
||||
" getting",
|
||||
" it",
|
||||
" altered.",
|
||||
" A",
|
||||
" tailor",
|
||||
" can",
|
||||
" take",
|
||||
" in",
|
||||
" or",
|
||||
" let",
|
||||
" out",
|
||||
" the",
|
||||
" jacket",
|
||||
" and",
|
||||
" pants",
|
||||
" to",
|
||||
" fit",
|
||||
" your",
|
||||
" body",
|
||||
" perfectly,",
|
||||
" and",
|
||||
" can",
|
||||
" also",
|
||||
" make",
|
||||
" adjustments",
|
||||
" to",
|
||||
" the",
|
||||
" sleeves,",
|
||||
" collar,",
|
||||
" and",
|
||||
" pant",
|
||||
" legs.\n\nBy",
|
||||
" following",
|
||||
" these",
|
||||
" tips,",
|
||||
" you",
|
||||
" can",
|
||||
" have",
|
||||
" a",
|
||||
" tailored",
|
||||
" men's",
|
||||
" suit",
|
||||
" that",
|
||||
" looks",
|
||||
" fashionable",
|
||||
" and",
|
||||
" stylish,",
|
||||
" and",
|
||||
" that",
|
||||
" you",
|
||||
" can",
|
||||
" wear",
|
||||
" with",
|
||||
" confidence.",
|
||||
" Remember",
|
||||
" to",
|
||||
" always",
|
||||
" work",
|
||||
" with",
|
||||
" a",
|
||||
" reputable",
|
||||
" tailor",
|
||||
" who",
|
||||
" can",
|
||||
" help",
|
||||
" you",
|
||||
" achieve",
|
||||
" the",
|
||||
" best",
|
||||
" results."
|
||||
],
|
||||
"logs": "prompt [INST] <<SYS>>\nYou are a helpful, respectful and honest assistant. Always answer as helpfully as possible, while being safe. Your answers should not include any harmful, unethical, racist, sexist, toxic, dangerous, or illegal content. Please ensure that your responses are socially unbiased and positive in nature.\nIf a question does not make any sense, or is not factually coherent, explain why instead of answering something not correct. If you don't know the answer to a question, please don't share false information.\n<</SYS>>\nell me how to tailor a men's suit so I look fashionable. [/INST]",
|
||||
"error": null,
|
||||
"metrics": {
|
||||
"predict_time": 18.364308,
|
||||
"total_time": 18.326084
|
||||
},
|
||||
"created_at": "2023-07-22T00:57:53.459888Z",
|
||||
"started_at": "2023-07-22T00:57:53.421664Z",
|
||||
"completed_at": "2023-07-22T00:58:11.785972Z",
|
||||
"urls": {
|
||||
"get": "https://api.replicate.com/v1/predictions/7xhvtyjbutohmf2ia5k2men57y",
|
||||
"cancel": "https://api.replicate.com/v1/predictions/7xhvtyjbutohmf2ia5k2men57y/cancel"
|
||||
}
|
||||
},
|
||||
"latest_version": {
|
||||
"id": "13c3cdee13ee059ab779f0291d29054dab00a47dad8261375654de5540165fb0",
|
||||
"created_at": "2023-11-02T00:33:43.112349+00:00",
|
||||
"cog_version": "0.8.6",
|
||||
"openapi_schema": {
|
||||
"info": {
|
||||
"title": "Cog",
|
||||
"version": "0.1.0"
|
||||
},
|
||||
"paths": {
|
||||
"/": {
|
||||
"get": {
|
||||
"summary": "Root",
|
||||
"responses": {
|
||||
"200": {
|
||||
"content": {
|
||||
"application/json": {
|
||||
"schema": {
|
||||
"title": "Response Root Get"
|
||||
}
|
||||
}
|
||||
},
|
||||
"description": "Successful Response"
|
||||
}
|
||||
},
|
||||
"operationId": "root__get"
|
||||
}
|
||||
},
|
||||
"/shutdown": {
|
||||
"post": {
|
||||
"summary": "Start Shutdown",
|
||||
"responses": {
|
||||
"200": {
|
||||
"content": {
|
||||
"application/json": {
|
||||
"schema": {
|
||||
"title": "Response Start Shutdown Shutdown Post"
|
||||
}
|
||||
}
|
||||
},
|
||||
"description": "Successful Response"
|
||||
}
|
||||
},
|
||||
"operationId": "start_shutdown_shutdown_post"
|
||||
}
|
||||
},
|
||||
"/predictions": {
|
||||
"post": {
|
||||
"summary": "Predict",
|
||||
"responses": {
|
||||
"200": {
|
||||
"content": {
|
||||
"application/json": {
|
||||
"schema": {
|
||||
"$ref": "#/components/schemas/PredictionResponse"
|
||||
}
|
||||
}
|
||||
},
|
||||
"description": "Successful Response"
|
||||
},
|
||||
"422": {
|
||||
"content": {
|
||||
"application/json": {
|
||||
"schema": {
|
||||
"$ref": "#/components/schemas/HTTPValidationError"
|
||||
}
|
||||
}
|
||||
},
|
||||
"description": "Validation Error"
|
||||
}
|
||||
},
|
||||
"parameters": [
|
||||
{
|
||||
"in": "header",
|
||||
"name": "prefer",
|
||||
"schema": {
|
||||
"type": "string",
|
||||
"title": "Prefer"
|
||||
},
|
||||
"required": false
|
||||
}
|
||||
],
|
||||
"description": "Run a single prediction on the model",
|
||||
"operationId": "predict_predictions_post",
|
||||
"requestBody": {
|
||||
"content": {
|
||||
"application/json": {
|
||||
"schema": {
|
||||
"$ref": "#/components/schemas/PredictionRequest"
|
||||
}
|
||||
}
|
||||
}
|
||||
}
|
||||
}
|
||||
},
|
||||
"/health-check": {
|
||||
"get": {
|
||||
"summary": "Healthcheck",
|
||||
"responses": {
|
||||
"200": {
|
||||
"content": {
|
||||
"application/json": {
|
||||
"schema": {
|
||||
"title": "Response Healthcheck Health Check Get"
|
||||
}
|
||||
}
|
||||
},
|
||||
"description": "Successful Response"
|
||||
}
|
||||
},
|
||||
"operationId": "healthcheck_health_check_get"
|
||||
}
|
||||
},
|
||||
"/predictions/{prediction_id}": {
|
||||
"put": {
|
||||
"summary": "Predict Idempotent",
|
||||
"responses": {
|
||||
"200": {
|
||||
"content": {
|
||||
"application/json": {
|
||||
"schema": {
|
||||
"$ref": "#/components/schemas/PredictionResponse"
|
||||
}
|
||||
}
|
||||
},
|
||||
"description": "Successful Response"
|
||||
},
|
||||
"422": {
|
||||
"content": {
|
||||
"application/json": {
|
||||
"schema": {
|
||||
"$ref": "#/components/schemas/HTTPValidationError"
|
||||
}
|
||||
}
|
||||
},
|
||||
"description": "Validation Error"
|
||||
}
|
||||
},
|
||||
"parameters": [
|
||||
{
|
||||
"in": "path",
|
||||
"name": "prediction_id",
|
||||
"schema": {
|
||||
"type": "string",
|
||||
"title": "Prediction ID"
|
||||
},
|
||||
"required": true
|
||||
},
|
||||
{
|
||||
"in": "header",
|
||||
"name": "prefer",
|
||||
"schema": {
|
||||
"type": "string",
|
||||
"title": "Prefer"
|
||||
},
|
||||
"required": false
|
||||
}
|
||||
],
|
||||
"description": "Run a single prediction on the model (idempotent creation).",
|
||||
"operationId": "predict_idempotent_predictions__prediction_id__put",
|
||||
"requestBody": {
|
||||
"content": {
|
||||
"application/json": {
|
||||
"schema": {
|
||||
"allOf": [
|
||||
{
|
||||
"$ref": "#/components/schemas/PredictionRequest"
|
||||
}
|
||||
],
|
||||
"title": "Prediction Request"
|
||||
}
|
||||
}
|
||||
},
|
||||
"required": true
|
||||
}
|
||||
}
|
||||
},
|
||||
"/predictions/{prediction_id}/cancel": {
|
||||
"post": {
|
||||
"summary": "Cancel",
|
||||
"responses": {
|
||||
"200": {
|
||||
"content": {
|
||||
"application/json": {
|
||||
"schema": {
|
||||
"title": "Response Cancel Predictions Prediction Id Cancel Post"
|
||||
}
|
||||
}
|
||||
},
|
||||
"description": "Successful Response"
|
||||
},
|
||||
"422": {
|
||||
"content": {
|
||||
"application/json": {
|
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"schema": {
|
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"$ref": "#/components/schemas/HTTPValidationError"
|
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}
|
||||
}
|
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},
|
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"description": "Validation Error"
|
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}
|
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},
|
||||
"parameters": [
|
||||
{
|
||||
"in": "path",
|
||||
"name": "prediction_id",
|
||||
"schema": {
|
||||
"type": "string",
|
||||
"title": "Prediction ID"
|
||||
},
|
||||
"required": true
|
||||
}
|
||||
],
|
||||
"description": "Cancel a running prediction",
|
||||
"operationId": "cancel_predictions__prediction_id__cancel_post"
|
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}
|
||||
}
|
||||
},
|
||||
"openapi": "3.0.2",
|
||||
"components": {
|
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"schemas": {
|
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"Input": {
|
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"type": "object",
|
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"title": "Input",
|
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"required": [
|
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"prompt"
|
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],
|
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"properties": {
|
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"seed": {
|
||||
"type": "integer",
|
||||
"title": "Seed",
|
||||
"x-order": 9,
|
||||
"description": "Random seed. Leave blank to randomize the seed"
|
||||
},
|
||||
"debug": {
|
||||
"type": "boolean",
|
||||
"title": "Debug",
|
||||
"default": false,
|
||||
"x-order": 10,
|
||||
"description": "provide debugging output in logs"
|
||||
},
|
||||
"top_k": {
|
||||
"type": "integer",
|
||||
"title": "Top K",
|
||||
"default": -1,
|
||||
"minimum": -1.0,
|
||||
"x-order": 6,
|
||||
"description": "When decoding text, samples from the top k most likely tokens; lower to ignore less likely tokens"
|
||||
},
|
||||
"top_p": {
|
||||
"type": "number",
|
||||
"title": "Top P",
|
||||
"default": 0.95,
|
||||
"maximum": 1.0,
|
||||
"minimum": 0.0,
|
||||
"x-order": 5,
|
||||
"description": "When decoding text, samples from the top p percentage of most likely tokens; lower to ignore less likely tokens"
|
||||
},
|
||||
"prompt": {
|
||||
"type": "string",
|
||||
"title": "Prompt",
|
||||
"x-order": 0,
|
||||
"description": "Prompt to send to the model."
|
||||
},
|
||||
"temperature": {
|
||||
"type": "number",
|
||||
"title": "Temperature",
|
||||
"default": 0.7,
|
||||
"maximum": 5.0,
|
||||
"minimum": 0.01,
|
||||
"x-order": 4,
|
||||
"description": "Adjusts randomness of outputs, greater than 1 is random and 0 is deterministic, 0.75 is a good starting value."
|
||||
},
|
||||
"system_prompt": {
|
||||
"type": "string",
|
||||
"title": "System Prompt",
|
||||
"default": "You are a helpful, respectful and honest assistant.",
|
||||
"x-order": 1,
|
||||
"description": "System prompt to send to the model. This is prepended to the prompt and helps guide system behavior."
|
||||
},
|
||||
"max_new_tokens": {
|
||||
"type": "integer",
|
||||
"title": "Max New Tokens",
|
||||
"default": 128,
|
||||
"minimum": 1.0,
|
||||
"x-order": 2,
|
||||
"description": "Maximum number of tokens to generate. A word is generally 2-3 tokens"
|
||||
},
|
||||
"min_new_tokens": {
|
||||
"type": "integer",
|
||||
"title": "Min New Tokens",
|
||||
"default": -1,
|
||||
"minimum": -1.0,
|
||||
"x-order": 3,
|
||||
"description": "Minimum number of tokens to generate. To disable, set to -1. A word is generally 2-3 tokens."
|
||||
},
|
||||
"stop_sequences": {
|
||||
"type": "string",
|
||||
"title": "Stop Sequences",
|
||||
"x-order": 8,
|
||||
"description": "A comma-separated list of sequences to stop generation at. For example, '<end>,<stop>' will stop generation at the first instance of 'end' or '<stop>'."
|
||||
},
|
||||
"replicate_weights": {
|
||||
"type": "string",
|
||||
"title": "Replicate Weights",
|
||||
"x-order": 11,
|
||||
"description": "Path to fine-tuned weights produced by a Replicate fine-tune job."
|
||||
},
|
||||
"repetition_penalty": {
|
||||
"type": "number",
|
||||
"title": "Repetition Penalty",
|
||||
"default": 1.15,
|
||||
"minimum": 0.0,
|
||||
"x-order": 7,
|
||||
"description": "A parameter that controls how repetitive text can be. Lower means more repetitive, while higher means less repetitive. Set to 1.0 to disable."
|
||||
}
|
||||
}
|
||||
},
|
||||
"Output": {
|
||||
"type": "array",
|
||||
"items": {
|
||||
"type": "string"
|
||||
},
|
||||
"title": "Output",
|
||||
"x-cog-array-type": "iterator",
|
||||
"x-cog-array-display": "concatenate"
|
||||
},
|
||||
"Status": {
|
||||
"enum": [
|
||||
"starting",
|
||||
"processing",
|
||||
"succeeded",
|
||||
"canceled",
|
||||
"failed"
|
||||
],
|
||||
"type": "string",
|
||||
"title": "Status",
|
||||
"description": "An enumeration."
|
||||
},
|
||||
"WebhookEvent": {
|
||||
"enum": [
|
||||
"start",
|
||||
"output",
|
||||
"logs",
|
||||
"completed"
|
||||
],
|
||||
"type": "string",
|
||||
"title": "WebhookEvent",
|
||||
"description": "An enumeration."
|
||||
},
|
||||
"ValidationError": {
|
||||
"type": "object",
|
||||
"title": "ValidationError",
|
||||
"required": [
|
||||
"loc",
|
||||
"msg",
|
||||
"type"
|
||||
],
|
||||
"properties": {
|
||||
"loc": {
|
||||
"type": "array",
|
||||
"items": {
|
||||
"anyOf": [
|
||||
{
|
||||
"type": "string"
|
||||
},
|
||||
{
|
||||
"type": "integer"
|
||||
}
|
||||
]
|
||||
},
|
||||
"title": "Location"
|
||||
},
|
||||
"msg": {
|
||||
"type": "string",
|
||||
"title": "Message"
|
||||
},
|
||||
"type": {
|
||||
"type": "string",
|
||||
"title": "Error Type"
|
||||
}
|
||||
}
|
||||
},
|
||||
"PredictionRequest": {
|
||||
"type": "object",
|
||||
"title": "PredictionRequest",
|
||||
"properties": {
|
||||
"id": {
|
||||
"type": "string",
|
||||
"title": "Id"
|
||||
},
|
||||
"input": {
|
||||
"$ref": "#/components/schemas/Input"
|
||||
},
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@@ -7,7 +7,7 @@
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@@ -7,7 +7,7 @@
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@@ -7,7 +7,7 @@
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||||
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||||
@@ -0,0 +1,451 @@
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||||
{
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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@@ -0,0 +1,483 @@
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@@ -7,7 +7,7 @@
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"logs": "INFO 04-24 03:58:30 async_llm_engine.py:508] Received request 709f2034294045d7aacd6694b23a02aa: prompt: \"<|im_start|>system\\nYou're a helpful assistant<|im_end|>\\n<|im_start|>user\\nWrite fizz buzz in SQL<|im_end|>\\n\\n<|im_start|>assistant\\n\", sampling_params: SamplingParams(n=1, best_of=1, presence_penalty=1.15, frequency_penalty=0.2, repetition_penalty=1.0, temperature=0.6, top_p=0.9, top_k=50, min_p=0.0, seed=None, use_beam_search=False, length_penalty=1.0, early_stopping=False, stop=['<|im_end|>', '<|im_end|>'], stop_token_ids=[], include_stop_str_in_output=False, ignore_eos=False, max_tokens=512, min_tokens=0, logprobs=None, prompt_logprobs=None, skip_special_tokens=True, spaces_between_special_tokens=True, truncate_prompt_tokens=None), prompt_token_ids: None, lora_request: None.\r\n stdoutINFO 04-24 03:58:33 async_llm_engine.py:120] Finished request 709f2034294045d7aacd6694b23a02aa.\r\n stdoutTokens/second: 79.51895574949201\r\n stdout",
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||||
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||||
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||||
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||||
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||||
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||||
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|
||||
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||||
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||||
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||||
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||||
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|
||||
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||||
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||||
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||||
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||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
"operationId": "predict_idempotent_predictions__prediction_id__put",
|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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|
||||
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|
||||
"responses": {
|
||||
"200": {
|
||||
"content": {
|
||||
"application/json": {
|
||||
"schema": {
|
||||
"title": "Response Cancel Predictions Prediction Id Cancel Post"
|
||||
}
|
||||
}
|
||||
},
|
||||
"description": "Successful Response"
|
||||
},
|
||||
"422": {
|
||||
"content": {
|
||||
"application/json": {
|
||||
"schema": {
|
||||
"$ref": "#/components/schemas/HTTPValidationError"
|
||||
}
|
||||
}
|
||||
},
|
||||
"description": "Validation Error"
|
||||
}
|
||||
},
|
||||
"parameters": [
|
||||
{
|
||||
"in": "path",
|
||||
"name": "prediction_id",
|
||||
"schema": {
|
||||
"type": "string",
|
||||
"title": "Prediction ID"
|
||||
},
|
||||
"required": true
|
||||
}
|
||||
],
|
||||
"description": "Cancel a running prediction",
|
||||
"operationId": "cancel_predictions__prediction_id__cancel_post"
|
||||
}
|
||||
}
|
||||
},
|
||||
"openapi": "3.0.2",
|
||||
"components": {
|
||||
"schemas": {
|
||||
"Input": {
|
||||
"type": "object",
|
||||
"title": "Input",
|
||||
"properties": {
|
||||
"top_k": {
|
||||
"type": "integer",
|
||||
"title": "Top K",
|
||||
"default": 50,
|
||||
"x-order": 5,
|
||||
"description": "The number of highest probability tokens to consider for generating the output. If > 0, only keep the top k tokens with highest probability (top-k filtering). Lower to ignore less likely tokens"
|
||||
},
|
||||
"top_p": {
|
||||
"type": "number",
|
||||
"title": "Top P",
|
||||
"default": 0.9,
|
||||
"x-order": 4,
|
||||
"description": "A probability threshold for generating the output. If < 1.0, only keep the top tokens with cumulative probability >= top_p (nucleus filtering). Nucleus filtering is described in Holtzman et al. (http://arxiv.org/abs/1904.09751). Lower to ignore less likely tokens."
|
||||
},
|
||||
"prompt": {
|
||||
"type": "string",
|
||||
"title": "Prompt",
|
||||
"default": "",
|
||||
"x-order": 0,
|
||||
"description": "Prompt to send to the model."
|
||||
},
|
||||
"temperature": {
|
||||
"type": "number",
|
||||
"title": "Temperature",
|
||||
"default": 0.6,
|
||||
"x-order": 3,
|
||||
"description": "The value used to modulate the next token probabilities. Adjusts randomness of outputs, greater than 1 is random and 0 is deterministic, 0.75 is a good starting value."
|
||||
},
|
||||
"max_new_tokens": {
|
||||
"type": "integer",
|
||||
"title": "Max New Tokens",
|
||||
"default": 512,
|
||||
"x-order": 2,
|
||||
"description": "The maximum number of tokens the model should generate as output. A word is generally 2-3 tokens."
|
||||
},
|
||||
"min_new_tokens": {
|
||||
"type": "integer",
|
||||
"title": "Min New Tokens",
|
||||
"default": 0,
|
||||
"x-order": 1,
|
||||
"description": "The minimum number of tokens the model should generate as output. A word is generally 2-3 tokens."
|
||||
},
|
||||
"stop_sequences": {
|
||||
"type": "string",
|
||||
"title": "Stop Sequences",
|
||||
"default": "<|im_end|>",
|
||||
"x-order": 9,
|
||||
"description": "A comma-separated list of sequences to stop generation at. For example, '<end>,<stop>' will stop generation at the first instance of 'end' or '<stop>'."
|
||||
},
|
||||
"prompt_template": {
|
||||
"type": "string",
|
||||
"title": "Prompt Template",
|
||||
"default": "<|im_start|>system\nYou're a helpful assistant<|im_end|>\n<|im_start|>user\n{prompt}<|im_end|>\n\n<|im_start|>assistant\n",
|
||||
"x-order": 8,
|
||||
"description": "Prompt template. The string `{prompt}` will be substituted for the input prompt. If you want to generate dialog output, use this template as a starting point and construct the prompt string manually, leaving `prompt_template={prompt}`."
|
||||
},
|
||||
"presence_penalty": {
|
||||
"type": "number",
|
||||
"title": "Presence Penalty",
|
||||
"default": 1.15,
|
||||
"x-order": 6,
|
||||
"description": "A parameter that penalizes repeated tokens regardless of the number of appearances. As the value increases, the model will be less likely to repeat tokens in the output."
|
||||
},
|
||||
"frequency_penalty": {
|
||||
"type": "number",
|
||||
"title": "Frequency Penalty",
|
||||
"default": 0.2,
|
||||
"x-order": 7,
|
||||
"description": "Frequency penalty is similar to presence penalty, but while presence penalty applies to all tokens that have been sampled at least once, the frequency penalty proportional to how often a particular token has already been sampled."
|
||||
}
|
||||
}
|
||||
},
|
||||
"Output": {
|
||||
"type": "array",
|
||||
"items": {
|
||||
"type": "string"
|
||||
},
|
||||
"title": "Output",
|
||||
"x-cog-array-type": "iterator",
|
||||
"x-cog-array-display": "concatenate"
|
||||
},
|
||||
"Status": {
|
||||
"enum": [
|
||||
"starting",
|
||||
"processing",
|
||||
"succeeded",
|
||||
"canceled",
|
||||
"failed"
|
||||
],
|
||||
"type": "string",
|
||||
"title": "Status",
|
||||
"description": "An enumeration."
|
||||
},
|
||||
"WebhookEvent": {
|
||||
"enum": [
|
||||
"start",
|
||||
"output",
|
||||
"logs",
|
||||
"completed"
|
||||
],
|
||||
"type": "string",
|
||||
"title": "WebhookEvent",
|
||||
"description": "An enumeration."
|
||||
},
|
||||
"ValidationError": {
|
||||
"type": "object",
|
||||
"title": "ValidationError",
|
||||
"required": [
|
||||
"loc",
|
||||
"msg",
|
||||
"type"
|
||||
],
|
||||
"properties": {
|
||||
"loc": {
|
||||
"type": "array",
|
||||
"items": {
|
||||
"anyOf": [
|
||||
{
|
||||
"type": "string"
|
||||
},
|
||||
{
|
||||
"type": "integer"
|
||||
}
|
||||
]
|
||||
},
|
||||
"title": "Location"
|
||||
},
|
||||
"msg": {
|
||||
"type": "string",
|
||||
"title": "Message"
|
||||
},
|
||||
"type": {
|
||||
"type": "string",
|
||||
"title": "Error Type"
|
||||
}
|
||||
}
|
||||
},
|
||||
"PredictionRequest": {
|
||||
"type": "object",
|
||||
"title": "PredictionRequest",
|
||||
"properties": {
|
||||
"id": {
|
||||
"type": "string",
|
||||
"title": "Id"
|
||||
},
|
||||
"input": {
|
||||
"$ref": "#/components/schemas/Input"
|
||||
},
|
||||
"webhook": {
|
||||
"type": "string",
|
||||
"title": "Webhook",
|
||||
"format": "uri",
|
||||
"maxLength": 65536,
|
||||
"minLength": 1
|
||||
},
|
||||
"created_at": {
|
||||
"type": "string",
|
||||
"title": "Created At",
|
||||
"format": "date-time"
|
||||
},
|
||||
"output_file_prefix": {
|
||||
"type": "string",
|
||||
"title": "Output File Prefix"
|
||||
},
|
||||
"webhook_events_filter": {
|
||||
"type": "array",
|
||||
"items": {
|
||||
"$ref": "#/components/schemas/WebhookEvent"
|
||||
},
|
||||
"default": [
|
||||
"start",
|
||||
"output",
|
||||
"logs",
|
||||
"completed"
|
||||
]
|
||||
}
|
||||
}
|
||||
},
|
||||
"PredictionResponse": {
|
||||
"type": "object",
|
||||
"title": "PredictionResponse",
|
||||
"properties": {
|
||||
"id": {
|
||||
"type": "string",
|
||||
"title": "Id"
|
||||
},
|
||||
"logs": {
|
||||
"type": "string",
|
||||
"title": "Logs",
|
||||
"default": ""
|
||||
},
|
||||
"error": {
|
||||
"type": "string",
|
||||
"title": "Error"
|
||||
},
|
||||
"input": {
|
||||
"$ref": "#/components/schemas/Input"
|
||||
},
|
||||
"output": {
|
||||
"$ref": "#/components/schemas/Output"
|
||||
},
|
||||
"status": {
|
||||
"$ref": "#/components/schemas/Status"
|
||||
},
|
||||
"metrics": {
|
||||
"type": "object",
|
||||
"title": "Metrics"
|
||||
},
|
||||
"version": {
|
||||
"type": "string",
|
||||
"title": "Version"
|
||||
},
|
||||
"created_at": {
|
||||
"type": "string",
|
||||
"title": "Created At",
|
||||
"format": "date-time"
|
||||
},
|
||||
"started_at": {
|
||||
"type": "string",
|
||||
"title": "Started At",
|
||||
"format": "date-time"
|
||||
},
|
||||
"completed_at": {
|
||||
"type": "string",
|
||||
"title": "Completed At",
|
||||
"format": "date-time"
|
||||
}
|
||||
}
|
||||
},
|
||||
"HTTPValidationError": {
|
||||
"type": "object",
|
||||
"title": "HTTPValidationError",
|
||||
"properties": {
|
||||
"detail": {
|
||||
"type": "array",
|
||||
"items": {
|
||||
"$ref": "#/components/schemas/ValidationError"
|
||||
},
|
||||
"title": "Detail"
|
||||
}
|
||||
}
|
||||
}
|
||||
}
|
||||
}
|
||||
}
|
||||
}
|
||||
}
|
||||
@@ -7,7 +7,7 @@
|
||||
"github_url": "https://github.com/replicate/cog-sdxl",
|
||||
"paper_url": "https://arxiv.org/abs/2307.01952",
|
||||
"license_url": "https://github.com/Stability-AI/generative-models/blob/main/model_licenses/LICENSE-SDXL1.0",
|
||||
"run_count": 55490453,
|
||||
"run_count": 55502875,
|
||||
"cover_image_url": "https://tjzk.replicate.delivery/models_models_cover_image/61004930-fb88-4e09-9bd4-74fd8b4aa677/sdxl_cover.png",
|
||||
"default_example": {
|
||||
"id": "dzsqmb3bg4lqpjkz2iptjqgccm",
|
||||
|
||||
@@ -7,7 +7,7 @@
|
||||
"github_url": "https://github.com/fofr/cog-comfyui-sd3",
|
||||
"paper_url": "https://arxiv.org/pdf/2403.03206",
|
||||
"license_url": "https://github.com/replicate/cog-stable-diffusion-3/blob/main/LICENSE",
|
||||
"run_count": 245662,
|
||||
"run_count": 247100,
|
||||
"cover_image_url": "https://replicate.delivery/pbxt/xSNDMDlOk4IzHxJZ1ntRe80wu1JD65y2lLRkO0YWxnBXP7eSA/R8_SD3_00001_.webp",
|
||||
"default_example": {
|
||||
"id": "qajxd850zxrgg0cg1kpr0h6nkg",
|
||||
|
||||
@@ -7,7 +7,7 @@
|
||||
"github_url": "https://github.com/haotian-liu/LLaVA",
|
||||
"paper_url": "https://arxiv.org/abs/2310.03744",
|
||||
"license_url": "https://ai.meta.com/llama/license/",
|
||||
"run_count": 10110920,
|
||||
"run_count": 10146412,
|
||||
"cover_image_url": "https://tjzk.replicate.delivery/models_models_cover_image/2c5dbfff-209d-4ab5-a294-b3e5e56105c0/dalle3.jpg",
|
||||
"default_example": {
|
||||
"id": "x5pthttb2mghadkxlvymeprkce",
|
||||
|
||||
@@ -7,7 +7,7 @@
|
||||
"github_url": "https://github.com/haotian-liu/LLaVA",
|
||||
"paper_url": null,
|
||||
"license_url": "https://huggingface.co/mistralai/Mistral-7B-Instruct-v0.2",
|
||||
"run_count": 1542271,
|
||||
"run_count": 1542282,
|
||||
"cover_image_url": "https://tjzk.replicate.delivery/models_models_cover_image/6bc7974c-7209-4877-98f5-23e77ef1c6da/fa58799b-aa47-4117-bf1f-25149e2d.webp",
|
||||
"default_example": {
|
||||
"id": "qlua7w3b5y2fcputi27al53qgy",
|
||||
|
||||
Reference in New Issue
Block a user