Alex Poulos
commited on
Commit
•
568a6d6
1
Parent(s):
d406ee5
Add Diffusers weights
Browse filesAdd Diffusers weights converted from checkpoint `Vectorartz.ckpt` in revision d406ee5681b8e1d87060976c38fee75b19b5440e
- feature_extractor/preprocessor_config.json +10 -2
- model_index.json +3 -2
- safety_checker/config.json +5 -3
- safety_checker/pytorch_model.bin +2 -2
- scheduler/scheduler_config.json +1 -1
- text_encoder/config.json +1 -1
- text_encoder/pytorch_model.bin +2 -2
- unet/config.json +7 -3
- unet/diffusion_pytorch_model.bin +2 -2
- vae/config.json +1 -1
- vae/diffusion_pytorch_model.bin +2 -2
feature_extractor/preprocessor_config.json
CHANGED
@@ -1,8 +1,12 @@
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{
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-
"crop_size":
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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_resize": true,
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"feature_extractor_type": "CLIPFeatureExtractor",
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"image_mean": [
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@@ -10,11 +14,15 @@
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0.4578275,
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0.40821073
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],
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"image_std": [
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0.26862954,
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0.26130258,
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0.27577711
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],
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"resample": 3,
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"
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}
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{
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"crop_size": {
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"height": 224,
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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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0.4578275,
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0.40821073
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"image_processor_type": "CLIPImageProcessor",
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"image_std": [
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0.26862954,
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0.26130258,
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0.27577711
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"resample": 3,
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"rescale_factor": 0.00392156862745098,
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"size": {
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"shortest_edge": 224
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}
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}
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model_index.json
CHANGED
@@ -1,10 +1,11 @@
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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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"transformers",
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-
"
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],
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"safety_checker": [
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"stable_diffusion",
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"StableDiffusionSafetyChecker"
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{
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"_class_name": "StableDiffusionPipeline",
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+
"_diffusers_version": "0.9.0",
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"feature_extractor": [
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"transformers",
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+
"CLIPImageProcessor"
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],
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+
"requires_safety_checker": true,
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"safety_checker": [
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"stable_diffusion",
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"StableDiffusionSafetyChecker"
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safety_checker/config.json
CHANGED
@@ -1,5 +1,5 @@
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{
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-
"_commit_hash": "
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"_name_or_path": "CompVis/stable-diffusion-safety-checker",
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"architectures": [
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"StableDiffusionSafetyChecker"
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@@ -62,6 +62,7 @@
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"pad_token_id": 1,
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"prefix": null,
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"problem_type": null,
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"pruned_heads": {},
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"remove_invalid_values": false,
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"repetition_penalty": 1.0,
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@@ -79,7 +80,7 @@
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"top_p": 1.0,
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"torch_dtype": null,
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"torchscript": false,
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"transformers_version": "4.
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"typical_p": 1.0,
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"use_bfloat16": false,
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"vocab_size": 49408
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@@ -148,6 +149,7 @@
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"patch_size": 14,
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"prefix": null,
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"pruned_heads": {},
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"remove_invalid_values": false,
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"repetition_penalty": 1.0,
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@@ -165,7 +167,7 @@
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"top_p": 1.0,
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"torch_dtype": null,
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"torchscript": false,
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"transformers_version": "4.
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"typical_p": 1.0,
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"use_bfloat16": false
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},
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{
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"_commit_hash": "cb41f3a270d63d454d385fc2e4f571c487c253c5",
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"_name_or_path": "CompVis/stable-diffusion-safety-checker",
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"prefix": null,
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"problem_type": null,
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"projection_dim": 512,
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"pruned_heads": {},
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"remove_invalid_values": false,
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"repetition_penalty": 1.0,
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"top_p": 1.0,
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"torch_dtype": null,
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"torchscript": false,
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"transformers_version": "4.25.0.dev0",
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"typical_p": 1.0,
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"use_bfloat16": false,
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"vocab_size": 49408
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"patch_size": 14,
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"prefix": null,
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"problem_type": null,
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"projection_dim": 512,
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"pruned_heads": {},
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"repetition_penalty": 1.0,
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"top_p": 1.0,
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"transformers_version": "4.25.0.dev0",
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"typical_p": 1.0,
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"use_bfloat16": false
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},
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safety_checker/pytorch_model.bin
CHANGED
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size 1216061799
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scheduler/scheduler_config.json
CHANGED
@@ -1,6 +1,6 @@
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{
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"_class_name": "PNDMScheduler",
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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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{
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"_class_name": "PNDMScheduler",
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"_diffusers_version": "0.9.0",
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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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text_encoder/config.json
CHANGED
@@ -20,6 +20,6 @@
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"pad_token_id": 1,
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"projection_dim": 768,
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"torch_dtype": "float32",
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text_encoder/pytorch_model.bin
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unet/config.json
CHANGED
@@ -1,6 +1,6 @@
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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": 8,
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"block_out_channels": [
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"DownBlock2D"
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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": 4,
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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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"out_channels": 4,
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"sample_size":
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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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"use_linear_projection": false
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unet/diffusion_pytorch_model.bin
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vae/config.json
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vae/diffusion_pytorch_model.bin
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