patrickvonplaten
commited on
Commit
•
93512fd
1
Parent(s):
520696f
upload model
Browse files- model_index.json +24 -0
- scheduler/scheduler_config.json +10 -0
- text_encoder/config.json +25 -0
- text_encoder/pytorch_model.bin +3 -0
- tokenizer/merges.txt +0 -0
- tokenizer/special_tokens_map.json +24 -0
- tokenizer/tokenizer_config.json +34 -0
- tokenizer/vocab.json +0 -0
- unet/config.json +50 -0
- unet/diffusion_pytorch_model.bin +3 -0
- vae/config.json +31 -0
- vae/diffusion_pytorch_model.bin +3 -0
model_index.json
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{
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"_class_name": "StableDiffusionLatentUpscalePipeline",
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"_diffusers_version": "0.13.0.dev0",
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"scheduler": [
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"diffusers",
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"EulerDiscreteScheduler"
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],
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"text_encoder": [
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"transformers",
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"CLIPTextModel"
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],
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"tokenizer": [
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"transformers",
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"CLIPTokenizer"
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],
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"unet": [
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"diffusers",
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"UNet2DConditionModel"
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],
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"vae": [
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"diffusers",
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"AutoencoderKL"
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]
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}
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scheduler/scheduler_config.json
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{
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"_class_name": "EulerDiscreteScheduler",
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"_diffusers_version": "0.13.0.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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"num_train_timesteps": 1000,
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"prediction_type": "original_sample",
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"trained_betas": null
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}
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text_encoder/config.json
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{
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"_name_or_path": "/home/patrick_huggingface_co/latent-upscaler/text_encoder",
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"architectures": [
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"CLIPTextModel"
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],
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"attention_dropout": 0.0,
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"bos_token_id": 0,
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"dropout": 0.0,
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"eos_token_id": 2,
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"hidden_act": "quick_gelu",
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"hidden_size": 768,
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"initializer_factor": 1.0,
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"initializer_range": 0.02,
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"intermediate_size": 3072,
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"layer_norm_eps": 1e-05,
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"max_position_embeddings": 77,
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"model_type": "clip_text_model",
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"num_attention_heads": 12,
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"num_hidden_layers": 12,
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"pad_token_id": 1,
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"projection_dim": 768,
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"torch_dtype": "float16",
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"transformers_version": "4.27.0.dev0",
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"vocab_size": 49408
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}
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text_encoder/pytorch_model.bin
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version https://git-lfs.github.com/spec/v1
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oid sha256:6a34f30098988d85dc0fb0fc272a842ebcf552e2ebc6ce4adbcf3695d08e8a90
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size 246188833
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tokenizer/merges.txt
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The diff for this file is too large to render.
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tokenizer/special_tokens_map.json
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{
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"bos_token": {
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"content": "<|startoftext|>",
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"lstrip": false,
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"normalized": true,
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"rstrip": false,
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"single_word": false
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},
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"eos_token": {
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"content": "<|endoftext|>",
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"lstrip": false,
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"normalized": true,
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"rstrip": false,
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"single_word": false
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},
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"pad_token": "<|endoftext|>",
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"unk_token": {
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"content": "<|endoftext|>",
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"lstrip": false,
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"normalized": true,
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"rstrip": false,
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"single_word": false
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}
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}
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tokenizer/tokenizer_config.json
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{
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"add_prefix_space": false,
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"bos_token": {
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"__type": "AddedToken",
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"content": "<|startoftext|>",
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"lstrip": false,
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"normalized": true,
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"rstrip": false,
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"single_word": false
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},
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"do_lower_case": true,
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"eos_token": {
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"__type": "AddedToken",
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"content": "<|endoftext|>",
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"lstrip": false,
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"normalized": true,
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"rstrip": false,
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"single_word": false
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},
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"errors": "replace",
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"model_max_length": 77,
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"name_or_path": "/home/patrick_huggingface_co/latent-upscaler/tokenizer",
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"pad_token": "<|endoftext|>",
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"special_tokens_map_file": "./special_tokens_map.json",
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"tokenizer_class": "CLIPTokenizer",
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"unk_token": {
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"__type": "AddedToken",
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"content": "<|endoftext|>",
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"lstrip": false,
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"normalized": true,
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"rstrip": false,
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"single_word": false
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}
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}
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tokenizer/vocab.json
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unet/config.json
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{
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"_class_name": "UNet2DConditionModel",
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"_diffusers_version": "0.13.0.dev0",
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"_name_or_path": "/home/patrick_huggingface_co/latent-upscaler/unet",
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"act_fn": "gelu",
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"attention_head_dim": 64,
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"block_out_channels": [
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384,
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384,
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768,
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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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"conv_in_kernel": 1,
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"conv_out_kernel": 1,
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"cross_attention_dim": 768,
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"down_block_types": [
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"KDownBlock2D",
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"KCrossAttnDownBlock2D",
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"KCrossAttnDownBlock2D",
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"KCrossAttnDownBlock2D"
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],
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"downsample_padding": 1,
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"dual_cross_attention": false,
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"flip_sin_to_cos": true,
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"freq_shift": 0,
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"in_channels": 8,
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"layers_per_block": 4,
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"mid_block_scale_factor": 1,
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"mid_block_type": null,
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"norm_eps": 1e-05,
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"norm_num_groups": null,
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"num_class_embeds": null,
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"only_cross_attention": false,
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"out_channels": 5,
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"resnet_time_scale_shift": "scale_shift",
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"sample_size": null,
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"time_cond_proj_dim": 896,
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"time_embedding_type": "fourier",
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"timestep_act_2": "gelu",
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"up_block_types": [
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"KCrossAttnUpBlock2D",
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"KCrossAttnUpBlock2D",
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"KCrossAttnUpBlock2D",
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"KUpBlock2D"
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],
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"upcast_attention": true,
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"use_linear_projection": false
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}
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unet/diffusion_pytorch_model.bin
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version https://git-lfs.github.com/spec/v1
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oid sha256:bf7c0562209151db15ae99e7f3d4e1d3646cf6e20218f27e4a4f4652b18a32fb
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size 745382355
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vae/config.json
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{
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"_class_name": "AutoencoderKL",
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"_diffusers_version": "0.13.0.dev0",
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"_name_or_path": "/home/patrick_huggingface_co/latent-upscaler/vae",
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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": 256,
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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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}
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vae/diffusion_pytorch_model.bin
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version https://git-lfs.github.com/spec/v1
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oid sha256:12647cc1cc0d775149d9a1835a47f5082fcb80448b68886204d35e2ae33d3eb4
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size 334715313
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