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feature_extractor/preprocessor_config.json ADDED
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+ {
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+ "crop_size": {
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+ "width": 224
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+ },
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+ "do_center_crop": true,
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+ "do_convert_rgb": true,
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+ "do_normalize": true,
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+ "do_rescale": true,
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+ "do_resize": true,
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+ "feature_extractor_type": "CLIPFeatureExtractor",
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+ "image_mean": [
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+ "image_processor_type": "CLIPFeatureExtractor",
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+ "resample": 3,
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+ "rescale_factor": 0.00392156862745098,
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+ }
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+ }
scheduler/scheduler_config.json ADDED
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+ {
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+ "_class_name": "PNDMScheduler",
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+ "_diffusers_version": "0.12.0.dev0",
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+ "beta_end": 0.012,
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+ "beta_schedule": "scaled_linear",
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+ "beta_start": 0.00085,
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+ "clip_sample": false,
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+ "num_train_timesteps": 1000,
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+ "prediction_type": "epsilon",
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+ "set_alpha_to_one": false,
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+ "skip_prk_steps": true,
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+ "steps_offset": 1,
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+ "trained_betas": null
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+ }
vae/config.json ADDED
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+ {
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+ "_class_name": "AutoencoderKL",
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+ "_diffusers_version": "0.12.0.dev0",
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+ "act_fn": "silu",
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+ "block_out_channels": [
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+ 128,
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+ 256,
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+ 512,
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+ 512
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+ ],
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+ "down_block_types": [
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+ "DownEncoderBlock2D",
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+ "DownEncoderBlock2D",
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+ "DownEncoderBlock2D",
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+ "DownEncoderBlock2D"
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+ ],
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+ "in_channels": 3,
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+ "latent_channels": 4,
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+ "layers_per_block": 2,
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+ "norm_num_groups": 32,
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+ "out_channels": 3,
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+ "sample_size": 512,
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+ "scaling_factor": 0.18215,
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+ "up_block_types": [
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+ "UpDecoderBlock2D",
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+ "UpDecoderBlock2D",
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+ "UpDecoderBlock2D",
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+ "UpDecoderBlock2D"
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+ ]
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+ }
vae/diffusion_pytorch_model.bin ADDED
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vae/diffusion_pytorch_model.safetensors ADDED
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