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Add diffusers version of consistency models ct_imagenet64.pt checkpoint.

model_index.json ADDED
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+ {
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+ "_class_name": "ConsistencyModelPipeline",
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+ "_diffusers_version": "0.17.0.dev0",
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+ "scheduler": [
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+ "diffusers",
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+ "CMStochasticIterativeScheduler"
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+ ],
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+ "unet": [
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+ "diffusers",
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+ "UNet2DModel"
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+ ]
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+ }
scheduler/scheduler_config.json ADDED
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+ {
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+ "_class_name": "CMStochasticIterativeScheduler",
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+ "_diffusers_version": "0.17.0.dev0",
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+ "clip_denoised": true,
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+ "num_train_timesteps": 201,
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+ "rho": 7.0,
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+ "s_noise": 1.0,
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+ "sigma_data": 0.5,
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+ "sigma_max": 80.0,
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+ "sigma_min": 0.002
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+ }
unet/config.json ADDED
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+ {
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+ "_class_name": "UNet2DModel",
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+ "_diffusers_version": "0.17.0.dev0",
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+ "act_fn": "silu",
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+ "add_attention": true,
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+ "attention_head_dim": 64,
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+ "block_out_channels": [
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+ 192,
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+ 384,
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+ 576,
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+ 768
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+ ],
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+ "center_input_sample": false,
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+ "class_embed_type": null,
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+ "down_block_types": [
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+ "ResnetDownsampleBlock2D",
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+ "AttnDownsampleBlock2D",
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+ "AttnDownsampleBlock2D",
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+ "AttnDownsampleBlock2D"
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+ ],
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+ "downsample_padding": 1,
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+ "flip_sin_to_cos": true,
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+ "freq_shift": 0,
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+ "in_channels": 3,
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+ "layers_per_block": 3,
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+ "mid_block_scale_factor": 1,
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+ "norm_eps": 1e-05,
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+ "norm_num_groups": 32,
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+ "num_class_embeds": 1000,
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+ "out_channels": 3,
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+ "resnet_time_scale_shift": "scale_shift",
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+ "sample_size": 64,
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+ "time_embedding_type": "positional",
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+ "up_block_types": [
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+ "AttnUpsampleBlock2D",
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+ "AttnUpsampleBlock2D",
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+ "AttnUpsampleBlock2D",
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+ "ResnetUpsampleBlock2D"
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+ ]
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+ }
unet/diffusion_pytorch_model.bin ADDED
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+ version https://git-lfs.github.com/spec/v1
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+ oid sha256:0d9b49667a9997fd6b8e30d14f78872a71165b2a0ae63b31f4741971992fc0eb
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+ size 1183833415