From 1ea0e2821f21573eb8ace09670dce71fdeade5b6 Mon Sep 17 00:00:00 2001 From: Paul Date: Thu, 27 Jun 2024 14:38:00 +0000 Subject: [PATCH] Add more models --- import_schemas.py | 2 + schemas/cjwbw_hyper-sdxl-1step-t2i.json | 513 ++++++++++++++++++++++++ schemas/cjwbw_pixart-sigma.json | 486 ++++++++++++++++++++++ 3 files changed, 1001 insertions(+) create mode 100644 schemas/cjwbw_hyper-sdxl-1step-t2i.json create mode 100644 schemas/cjwbw_pixart-sigma.json diff --git a/import_schemas.py b/import_schemas.py index e5a11d0..8a47c2b 100644 --- a/import_schemas.py +++ b/import_schemas.py @@ -33,6 +33,8 @@ models_to_import = [ "cuuupid/idm-vton", "cuuupid/glm-4v-9b", "lucataco/moondream2", + "cjwbw/hyper-sdxl-1step-t2i", + "cjwbw/pixart-sigma", ] diff --git a/schemas/cjwbw_hyper-sdxl-1step-t2i.json b/schemas/cjwbw_hyper-sdxl-1step-t2i.json new file mode 100644 index 0000000..344e6bf --- /dev/null +++ b/schemas/cjwbw_hyper-sdxl-1step-t2i.json @@ -0,0 +1,513 @@ +{ + "url": "https://replicate.com/cjwbw/hyper-sdxl-1step-t2i", + "owner": "cjwbw", + "name": "hyper-sdxl-1step-t2i", + "description": "Hyper-SD: Trajectory Segmented Consistency Model for Efficient Image Synthesis", + "visibility": "public", + "github_url": null, + "paper_url": "https://arxiv.org/abs/2404.13686", + "license_url": "https://huggingface.co/models?license=license%3Aopenrail%2B%2B", + "run_count": 0, + "cover_image_url": "https://replicate.delivery/pbxt/CFkDth5uslagGBQCeHCS72yUdsu1Ra38J4mzUPah6Zd70OXJA/out-0.webp", + "default_example": { + "id": "an42m1env5rgp0cf3hy8xhp15w", + "model": "cjwbw/hyper-sdxl-1step-t2i", + "version": "1c549e93d8d2e2beb6937146b0e82f6dab1b5ca5d8832015bbca25d5ad98750a", + "status": "succeeded", + "input": { + "width": 1024, + "height": 1024, + "prompt": "a photo of a cat", + "num_outputs": 1, + "output_format": "webp", + "output_quality": 80 + }, + "output": [ + "https://replicate.delivery/pbxt/CFkDth5uslagGBQCeHCS72yUdsu1Ra38J4mzUPah6Zd70OXJA/out-0.webp" + ], + "logs": "Using seed: 25896\nThe first timestep on the custom timestep schedule is 800, not `self.config.num_train_timesteps - 1`: 999. You may get unexpected results when using this timestep schedule.\n 0%| | 0/1 [00:00