License, tags and diffusers updates
#1
by
multimodalart
HF staff
- opened
- README.md +1 -0
- model_index.json +34 -0
- scheduler/scheduler_config.json +18 -0
- text_encoder_2/config.json +24 -0
- text_encoder_2/model.fp16.safetensors +3 -0
- text_encoder_2/model.safetensors +3 -0
- tokenizer_2/merges.txt +0 -0
- tokenizer_2/special_tokens_map.json +24 -0
- tokenizer_2/tokenizer_config.json +33 -0
- tokenizer_2/vocab.json +0 -0
- unet/config.json +69 -0
- unet/diffusion_pytorch_model.fp16.safetensors +3 -0
- unet/diffusion_pytorch_model.safetensors +3 -0
- vae/config.json +31 -0
- vae/diffusion_pytorch_model.fp16.safetensors +3 -0
- vae/diffusion_pytorch_model.safetensors +3 -0
README.md
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---
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license: creativeml-openrail-m
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---
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# SD-XL 1.0-refiner Model Card
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![row01](01.png)
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---
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license: creativeml-openrail-m
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duplicated_from: stabilityai/stable-diffusion-xl-refiner-1.0
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---
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# SD-XL 1.0-refiner Model Card
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![row01](01.png)
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model_index.json
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{
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"_class_name": "StableDiffusionXLImg2ImgPipeline",
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"_diffusers_version": "0.19.0.dev0",
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"force_zeros_for_empty_prompt": false,
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"requires_aesthetics_score": true,
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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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null,
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null
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],
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"text_encoder_2": [
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"transformers",
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"CLIPTextModelWithProjection"
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],
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"tokenizer": [
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null,
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null
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],
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"tokenizer_2": [
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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": "0.19.0.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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"interpolation_type": "linear",
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"num_train_timesteps": 1000,
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"prediction_type": "epsilon",
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"sample_max_value": 1.0,
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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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"timestep_spacing": "leading",
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"trained_betas": null,
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"use_karras_sigmas": false
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}
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text_encoder_2/config.json
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{
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"architectures": [
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"CLIPTextModelWithProjection"
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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": "gelu",
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"hidden_size": 1280,
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"initializer_factor": 1.0,
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"initializer_range": 0.02,
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"intermediate_size": 5120,
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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": 20,
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"num_hidden_layers": 32,
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"pad_token_id": 1,
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"projection_dim": 1280,
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"torch_dtype": "float16",
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"transformers_version": "4.32.0.dev0",
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"vocab_size": 49408
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}
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text_encoder_2/model.fp16.safetensors
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version https://git-lfs.github.com/spec/v1
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oid sha256:ec310df2af79c318e24d20511b601a591ca8cd4f1fce1d8dff822a356bcdb1f4
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size 1389382176
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text_encoder_2/model.safetensors
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version https://git-lfs.github.com/spec/v1
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oid sha256:3a6032f63d37ae02bbc74ccd6a27440578cd71701f96532229d0154f55a8d3ff
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size 2778702264
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tokenizer_2/merges.txt
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The diff for this file is too large to render.
See raw diff
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tokenizer_2/special_tokens_map.json
ADDED
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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": "!",
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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_2/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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"clean_up_tokenization_spaces": true,
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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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"pad_token": "!",
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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_2/vocab.json
ADDED
The diff for this file is too large to render.
See raw diff
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unet/config.json
ADDED
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{
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"_class_name": "UNet2DConditionModel",
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"_diffusers_version": "0.19.0.dev0",
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"act_fn": "silu",
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"addition_embed_type": "text_time",
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"addition_embed_type_num_heads": 64,
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"addition_time_embed_dim": 256,
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"attention_head_dim": [
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"block_out_channels": [
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384,
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768,
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1536,
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1536
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],
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"center_input_sample": false,
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"class_embed_type": null,
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"class_embeddings_concat": false,
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"conv_in_kernel": 3,
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"conv_out_kernel": 3,
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"cross_attention_dim": 1280,
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"cross_attention_norm": null,
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"down_block_types": [
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"DownBlock2D",
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"CrossAttnDownBlock2D",
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"CrossAttnDownBlock2D",
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"DownBlock2D"
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],
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"downsample_padding": 1,
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"dual_cross_attention": false,
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"encoder_hid_dim": null,
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"encoder_hid_dim_type": null,
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"flip_sin_to_cos": true,
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"freq_shift": 0,
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"in_channels": 4,
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"layers_per_block": 2,
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"mid_block_only_cross_attention": null,
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"mid_block_scale_factor": 1,
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"mid_block_type": "UNetMidBlock2DCrossAttn",
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"norm_eps": 1e-05,
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"norm_num_groups": 32,
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"num_attention_heads": null,
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"num_class_embeds": null,
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"only_cross_attention": false,
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"out_channels": 4,
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"projection_class_embeddings_input_dim": 2560,
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"resnet_out_scale_factor": 1.0,
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"resnet_skip_time_act": false,
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"resnet_time_scale_shift": "default",
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"sample_size": 128,
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"time_cond_proj_dim": null,
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"time_embedding_act_fn": null,
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"time_embedding_dim": null,
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"time_embedding_type": "positional",
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"timestep_post_act": null,
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"transformer_layers_per_block": 4,
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"up_block_types": [
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"UpBlock2D",
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"CrossAttnUpBlock2D",
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"CrossAttnUpBlock2D",
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"UpBlock2D"
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],
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"upcast_attention": null,
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"use_linear_projection": true
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}
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unet/diffusion_pytorch_model.fp16.safetensors
ADDED
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version https://git-lfs.github.com/spec/v1
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oid sha256:3ea0376dcf065eaefd27806394a90e310001b1a71d4f1cf1f655e86c0e566ffe
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size 4519210760
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unet/diffusion_pytorch_model.safetensors
ADDED
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version https://git-lfs.github.com/spec/v1
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oid sha256:54f9cd2f2daf3aeec0b2708fa3dbc0e84e4f8ddd1ddead42e5bc60c6572c989f
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size 9038264392
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vae/config.json
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{
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"_class_name": "AutoencoderKL",
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"_diffusers_version": "0.19.0.dev0",
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"act_fn": "silu",
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"block_out_channels": [
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128,
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],
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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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"force_upcast": true,
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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": 1024,
|
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"scaling_factor": 0.13025,
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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.fp16.safetensors
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version https://git-lfs.github.com/spec/v1
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oid sha256:eb6516ab7e1104d5d1a174a4d65c57835ae38061531d0a2192103aecfb790cc1
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size 167335342
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vae/diffusion_pytorch_model.safetensors
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version https://git-lfs.github.com/spec/v1
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oid sha256:27ed3b02e09638568e99d4398c67bc654dde04e6c0db61fb2d21dba630e7058a
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size 334643268
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