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  1. README.md +26 -0
  2. unet/config.json +38 -0
README.md ADDED
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+ ---
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+ tags:
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+ - video-diffusion
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+ - relighting
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+ - stable-diffusion
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+ license: apache-2.0
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+ library_name: diffusers
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+ pipeline_tag: stable-video-diffusion
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+ tags:
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+ - image-to-video
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+ - controlnet
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+ ---
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+
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+ # My Video Relight Model
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+
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+ This model was fine-tuned to perform video relighting using Stable Video Diffusion.
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+ ...
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+
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+ ## Usage
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+
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+ ```python
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+ from diffusers import StableVideoDiffusionPipeline
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+ pipe = StableVideoDiffusionPipeline.from_pretrained(
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+ "your-username/my-video-relight-model", torch_dtype=torch.float16
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+ ).to("cuda")
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+ ...
unet/config.json ADDED
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+ {
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+ "_class_name": "UNetSpatioTemporalConditionModel",
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+ "_diffusers_version": "0.32.2",
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+ "_name_or_path": "/fs/gamma-projects/svd_relight/model_abc/checkpoint-5500/unet",
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+ "addition_time_embed_dim": 256,
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+ "block_out_channels": [
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+ 320,
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+ 640,
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+ 1280,
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+ 1280
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+ ],
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+ "cross_attention_dim": 1024,
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+ "down_block_types": [
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+ "CrossAttnDownBlockSpatioTemporal",
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+ "CrossAttnDownBlockSpatioTemporal",
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+ "CrossAttnDownBlockSpatioTemporal",
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+ "DownBlockSpatioTemporal"
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+ ],
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+ "in_channels": 28,
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+ "layers_per_block": 2,
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+ "num_attention_heads": [
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+ 5,
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+ 10,
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+ 20,
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+ 20
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+ ],
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+ "num_frames": 14,
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+ "out_channels": 4,
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+ "projection_class_embeddings_input_dim": 768,
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+ "sample_size": 96,
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+ "transformer_layers_per_block": 1,
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+ "up_block_types": [
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+ "UpBlockSpatioTemporal",
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+ "CrossAttnUpBlockSpatioTemporal",
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+ "CrossAttnUpBlockSpatioTemporal",
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+ "CrossAttnUpBlockSpatioTemporal"
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+ ]
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+ }