Adding `diffusers` weights of this model
#22
by
Srikumar26
- opened
- model_index.json +9 -5
- scheduler/scheduler_config.json +8 -3
- text_encoder/config.json +2 -2
- text_encoder/model.fp16.safetensors +2 -2
- text_encoder/model.safetensors +2 -2
- tokenizer/tokenizer_config.json +30 -26
- unet/config.json +28 -1
- unet/diffusion_pytorch_model.fp16.safetensors +2 -2
- unet/diffusion_pytorch_model.safetensors +2 -2
- vae/config.json +4 -2
- vae/diffusion_pytorch_model.fp16.safetensors +2 -2
- vae/diffusion_pytorch_model.safetensors +2 -2
model_index.json
CHANGED
@@ -1,18 +1,22 @@
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{
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"_class_name": "StableDiffusionPipeline",
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-
"_diffusers_version": "0.
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"feature_extractor": [
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-
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-
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],
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-
"requires_safety_checker":
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"safety_checker": [
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null,
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null
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],
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"scheduler": [
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"diffusers",
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-
"
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],
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"text_encoder": [
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"transformers",
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{
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"_class_name": "StableDiffusionPipeline",
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+
"_diffusers_version": "0.27.0.dev0",
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"feature_extractor": [
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+
null,
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null
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],
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+
"image_encoder": [
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null,
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null
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],
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+
"requires_safety_checker": true,
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"safety_checker": [
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null,
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null
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],
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"scheduler": [
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"diffusers",
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+
"DDIMScheduler"
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],
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"text_encoder": [
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"transformers",
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scheduler/scheduler_config.json
CHANGED
@@ -1,14 +1,19 @@
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{
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-
"_class_name": "
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-
"_diffusers_version": "0.
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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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}
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{
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+
"_class_name": "DDIMScheduler",
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"_diffusers_version": "0.27.0.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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"clip_sample_range": 1.0,
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"dynamic_thresholding_ratio": 0.995,
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"num_train_timesteps": 1000,
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"prediction_type": "epsilon",
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+
"rescale_betas_zero_snr": false,
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+
"sample_max_value": 1.0,
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"set_alpha_to_one": false,
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"steps_offset": 1,
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+
"thresholding": false,
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"timestep_spacing": "leading",
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"trained_betas": null
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}
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text_encoder/config.json
CHANGED
@@ -1,5 +1,5 @@
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{
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-
"_name_or_path": "
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"architectures": [
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"CLIPTextModel"
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],
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@@ -20,6 +20,6 @@
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"pad_token_id": 1,
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"projection_dim": 512,
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"torch_dtype": "float32",
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-
"transformers_version": "4.
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"vocab_size": 49408
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}
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{
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+
"_name_or_path": "hf-models/stable-diffusion-v2-768x768/text_encoder",
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"architectures": [
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"CLIPTextModel"
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],
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"pad_token_id": 1,
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"projection_dim": 512,
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"torch_dtype": "float32",
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+
"transformers_version": "4.37.2",
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"vocab_size": 49408
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}
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text_encoder/model.fp16.safetensors
CHANGED
@@ -1,3 +1,3 @@
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version https://git-lfs.github.com/spec/v1
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oid sha256:
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size
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version https://git-lfs.github.com/spec/v1
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size 1168458360
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text_encoder/model.safetensors
CHANGED
@@ -1,3 +1,3 @@
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version https://git-lfs.github.com/spec/v1
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-
oid sha256:
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size
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version https://git-lfs.github.com/spec/v1
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size 1168458360
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tokenizer/tokenizer_config.json
CHANGED
@@ -1,34 +1,38 @@
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{
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"add_prefix_space": false,
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"
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"
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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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"
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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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{
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"add_prefix_space": false,
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"added_tokens_decoder": {
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"0": {
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"content": "!",
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"lstrip": false,
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"normalized": false,
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"rstrip": false,
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"single_word": false,
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"special": true
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},
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"49406": {
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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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"special": true
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},
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"49407": {
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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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"special": true
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}
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},
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"bos_token": "<|startoftext|>",
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"clean_up_tokenization_spaces": true,
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"do_lower_case": true,
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"eos_token": "<|endoftext|>",
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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": "<|endoftext|>"
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}
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unet/config.json
CHANGED
@@ -1,13 +1,17 @@
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{
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"_class_name": "UNet2DConditionModel",
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-
"_diffusers_version": "0.
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"act_fn": "silu",
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"attention_head_dim": [
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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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"block_out_channels": [
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320,
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640,
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@@ -15,7 +19,12 @@
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1280
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],
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"center_input_sample": false,
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"cross_attention_dim": 1024,
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"down_block_types": [
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"CrossAttnDownBlock2D",
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"CrossAttnDownBlock2D",
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@@ -23,23 +32,41 @@
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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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"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_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": null,
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"only_cross_attention": false,
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"out_channels": 4,
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"sample_size": 64,
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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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"CrossAttnUpBlock2D"
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],
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"use_linear_projection": true
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}
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{
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"_class_name": "UNet2DConditionModel",
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+
"_diffusers_version": "0.27.0.dev0",
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"act_fn": "silu",
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"addition_embed_type": null,
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"addition_embed_type_num_heads": 64,
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"addition_time_embed_dim": null,
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"attention_head_dim": [
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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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"attention_type": "default",
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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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],
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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": 1024,
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"cross_attention_norm": null,
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"down_block_types": [
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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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"dropout": 0.0,
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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": null,
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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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"reverse_transformer_layers_per_block": null,
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"sample_size": 64,
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"time_cond_proj_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": 1,
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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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"CrossAttnUpBlock2D"
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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
CHANGED
@@ -1,3 +1,3 @@
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version https://git-lfs.github.com/spec/v1
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-
oid sha256:
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-
size
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version https://git-lfs.github.com/spec/v1
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size 3463726504
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unet/diffusion_pytorch_model.safetensors
CHANGED
@@ -1,3 +1,3 @@
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version https://git-lfs.github.com/spec/v1
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size 3463726504
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vae/config.json
CHANGED
@@ -1,6 +1,6 @@
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{
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"_class_name": "AutoencoderKL",
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-
"_diffusers_version": "0.
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"act_fn": "silu",
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"block_out_channels": [
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128,
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@@ -14,12 +14,14 @@
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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":
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"up_block_types": [
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"UpDecoderBlock2D",
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"UpDecoderBlock2D",
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{
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"_class_name": "AutoencoderKL",
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+
"_diffusers_version": "0.27.0.dev0",
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"act_fn": "silu",
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"block_out_channels": [
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128,
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"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": 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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vae/diffusion_pytorch_model.fp16.safetensors
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vae/diffusion_pytorch_model.safetensors
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