56 lines
2.2 KiB
YAML
56 lines
2.2 KiB
YAML
# Model From Huggingface Diffusers
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pretrained_model_path: "diffusers/stable-diffusion-v1-5"
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# Model in CKPT format. This is the CKPT that you download from CivitAI or use in A111 Comfy, etc.
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# In most cases, leave this blank.
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unet_checkpoint_path: ""
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# Must be CKPT from https://huggingface.co/guoyww/animatediff/tree/main
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motion_module_path: "v3_sd15_mm.ckpt"
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# Must be CKPT from https://huggingface.co/guoyww/animatediff/tree/main
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# Optional for training, but highly recommended as a starting point.
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domain_adapter_path: "" #"v3_sd15_adapter.ckpt"
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# ["single_video", "folder"]
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# single_video = path/my_video.mp4
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# folder = path/my_videos
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# You can have .txt file with prompt in the same folder.
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# Eg. path/my_videos/1.mp4 path/my_videos/1.txt
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# Otherwise, every video will have the same training prompt.
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mode_type: "single_video"
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video:
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# Your local video path
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path: "examples/pexels-cottonbro-5319934 (2160p).mp4" # Or just path/to/folder_of_videos_with_.txt_files/ (set mode_type to "folder")
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# Optional custom start frame (idx). Leave this at 0 if your video is already trimmed.
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# This is only recommended for single videos.
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start_time: 0
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# If your video is longer than 16 frames, it will be chunked into multiple parts.
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# This is advanced usage, so leave this at 1.
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max_chunks: 1
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# Describe your action with a simple prompt.
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training_prompt: "a man is running on a bridge"
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# A custom prompt that will generate during to see your training progress.
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validation_prompt: "a highly realistic video of batman running in a mystic forest, depth of field, epic lights, high quality, trending on artstation"
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# The name of the LoRA file (will save to ./results/{save_name}...)
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save_name: "man_running"
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# Quality
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# Quality of training: ["low", "preferred", "best"]
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# low = Save the most memory, preferred = Most optimal, best = Memory intensive
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quality: "preferred"
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# Advanced users only. Only modify this if you're familiar with traning models.
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# You can call / modify this config directly if you know what you're doing.
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training_config: "configs/training/motion_director/training.yaml"
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# Do not change this. Refer to the above for advanced training.
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simple_mode: True
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