72 lines
2.1 KiB
Python
72 lines
2.1 KiB
Python
import replicate
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import json
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import os
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models_to_import = [
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"andreasjansson/blip-2",
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"bytedance/sdxl-lightning-4step",
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"fofr/face-to-many",
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"fofr/sd3-with-chaos",
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"meta/llama-2-7b-chat",
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"meta/llama-2-70b-chat",
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# "meta/meta-llama-3-70b-instruct",
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# "meta/meta-llama-3-8b-instruct",
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"mistralai/mixtral-8x7b-instruct-v0.1",
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"philz1337x/clarity-upscaler",
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"salesforce/blip",
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"smoretalk/rembg-enhance",
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"stability-ai/sdxl",
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"stability-ai/stable-diffusion-3",
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"yorickvp/llava-13b",
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"yorickvp/llava-v1.6-34b",
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"yorickvp/llava-v1.6-mistral-7b",
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"snowflake/snowflake-arctic-instruct",
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"batouresearch/high-resolution-controlnet-tile",
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"batouresearch/magic-style-transfer",
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"batouresearch/magic-image-refiner",
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"lucataco/pasd-magnify",
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"cjwbw/supir",
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"lucataco/qwen-vl-chat",
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"omniedgeio/face-swap",
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"ai-forever/kandinsky-2.2",
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"lucataco/sdxl-clip-interrogator",
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"lucataco/paligemma-3b-pt-224",
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"lucataco/llama-3-vision-alpha",
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"cuuupid/idm-vton",
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"cuuupid/glm-4v-9b",
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"lucataco/moondream2",
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"cjwbw/hyper-sdxl-1step-t2i",
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"cjwbw/pixart-sigma",
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"lucataco/hunyuandit-v1.1",
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]
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def format_json_file(file_path):
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try:
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with open(file_path, "r") as f:
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data = json.load(f)
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data["run_count"] = 0
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with open(file_path, "w") as f:
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json.dump(data, f, indent=4, ensure_ascii=False)
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except json.JSONDecodeError:
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print(f"Error: {file_path} contains invalid JSON")
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except IOError:
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print(f"Error: Could not read or write to {file_path}")
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def format_json_files_in_directory(directory):
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for filename in os.listdir(directory):
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if filename.endswith(".json"):
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file_path = os.path.join(directory, filename)
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format_json_file(file_path)
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for model in models_to_import:
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m = replicate.models.get(model)
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with open(f"schemas/{model.replace('/', '_')}.json", "w") as f:
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f.write(m.json())
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schemas_directory = "schemas"
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format_json_files_in_directory(schemas_directory)
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