Adding `diffusers` weights of this model

This PR adds fp32 and fp16 weights in PyTorch and safetensors format to Yntec/BelleOfTheBall

feature_extractor/preprocessor_config.json

@@ -1,4 +1,21 @@
 {
+  "_valid_processor_keys": [
+    "images",
+    "do_resize",
+    "size",
+    "resample",
+    "do_center_crop",
+    "crop_size",
+    "do_rescale",
+    "rescale_factor",
+    "do_normalize",
+    "image_mean",
+    "image_std",
+    "do_convert_rgb",
+    "return_tensors",
+    "data_format",
+    "input_data_format"
+  ],
   "crop_size": {
     "height": 224,
     "width": 224
@@ -8,7 +25,6 @@
   "do_normalize": true,
   "do_rescale": true,
   "do_resize": true,
-  "feature_extractor_type": "CLIPFeatureExtractor",
   "image_mean": [
     0.48145466,
     0.4578275,

model_index.json

@@ -1,18 +1,22 @@
 {
   "_class_name": "StableDiffusionPipeline",
-  "_diffusers_version": "0.18.0.dev0",
+  "_diffusers_version": "0.28.0.dev0",
   "feature_extractor": [
     "transformers",
     "CLIPFeatureExtractor"
   ],
-  "requires_safety_checker": null,
-  "safety_checker": [
+  "image_encoder": [
     null,
     null
   ],
+  "requires_safety_checker": true,
+  "safety_checker": [
+    "stable_diffusion",
+    "StableDiffusionSafetyChecker"
+  ],
   "scheduler": [
     "diffusers",
-    "EulerDiscreteScheduler"
+    "PNDMScheduler"
   ],
   "text_encoder": [
     "transformers",

scheduler/scheduler_config.json

@@ -1,16 +1,15 @@
 {
-  "_class_name": "EulerDiscreteScheduler",
-  "_diffusers_version": "0.22.0.dev0",
+  "_class_name": "PNDMScheduler",
+  "_diffusers_version": "0.28.0.dev0",
   "beta_end": 0.012,
   "beta_schedule": "scaled_linear",
   "beta_start": 0.00085,
   "clip_sample": false,
-  "interpolation_type": "linear",
   "num_train_timesteps": 1000,
   "prediction_type": "epsilon",
   "set_alpha_to_one": false,
+  "skip_prk_steps": true,
   "steps_offset": 1,
-  "timestep_spacing": "linspace",
-  "trained_betas": null,
-  "use_karras_sigmas": false
-}
+  "timestep_spacing": "leading",
+  "trained_betas": null
+}

text_encoder/config.json

@@ -18,7 +18,7 @@
   "num_hidden_layers": 12,
   "pad_token_id": 1,
   "projection_dim": 768,
-  "torch_dtype": "float16",
-  "transformers_version": "4.34.0",
+  "torch_dtype": "float32",
+  "transformers_version": "4.41.1",
   "vocab_size": 49408
 }

tokenizer/special_tokens_map.json

@@ -1,6 +1,30 @@
 {
-  "bos_token": "<|startoftext|>",
-  "eos_token": "<|endoftext|>",
-  "pad_token": "<|endoftext|>",
-  "unk_token": "<|endoftext|>"
+  "bos_token": {
+    "content": "<|startoftext|>",
+    "lstrip": false,
+    "normalized": true,
+    "rstrip": false,
+    "single_word": false
+  },
+  "eos_token": {
+    "content": "<|endoftext|>",
+    "lstrip": false,
+    "normalized": false,
+    "rstrip": false,
+    "single_word": false
+  },
+  "pad_token": {
+    "content": "<|endoftext|>",
+    "lstrip": false,
+    "normalized": false,
+    "rstrip": false,
+    "single_word": false
+  },
+  "unk_token": {
+    "content": "<|endoftext|>",
+    "lstrip": false,
+    "normalized": false,
+    "rstrip": false,
+    "single_word": false
+  }
 }

tokenizer/tokenizer_config.json

@@ -7,7 +7,7 @@
       "normalized": true,
       "rstrip": false,
       "single_word": false,
-      "special": false
+      "special": true
     },
     "49407": {
       "content": "<|endoftext|>",
@@ -15,10 +15,9 @@
       "normalized": false,
       "rstrip": false,
       "single_word": false,
-      "special": false
+      "special": true
     }
   },
-  "additional_special_tokens": [],
   "bos_token": "<|startoftext|>",
   "clean_up_tokenization_spaces": true,
   "do_lower_case": true,
@@ -27,6 +26,5 @@
   "model_max_length": 77,
   "pad_token": "<|endoftext|>",
   "tokenizer_class": "CLIPTokenizer",
-  "tokenizer_file": "/home/user/.cache/huggingface/hub/models--openai--clip-vit-large-patch14/snapshots/32bd64288804d66eefd0ccbe215aa642df71cc41/tokenizer.json",
   "unk_token": "<|endoftext|>"
-}
+}

unet/config.json

@@ -1,6 +1,6 @@
 {
   "_class_name": "UNet2DConditionModel",
-  "_diffusers_version": "0.22.0.dev0",
+  "_diffusers_version": "0.28.0.dev0",
   "act_fn": "silu",
   "addition_embed_type": null,
   "addition_embed_type_num_heads": 64,
@@ -48,6 +48,7 @@
   "resnet_out_scale_factor": 1.0,
   "resnet_skip_time_act": false,
   "resnet_time_scale_shift": "default",
+  "reverse_transformer_layers_per_block": null,
   "sample_size": 96,
   "time_cond_proj_dim": null,
   "time_embedding_act_fn": null,
@@ -63,4 +64,4 @@
   ],
   "upcast_attention": null,
   "use_linear_projection": false
-}
+}

unet/diffusion_pytorch_model.fp16.safetensors

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:684c32bfbfe2b6a3acc7e3735ed4d61ae68d0a6deb2bb2a51317a1c65e3d7584
+oid sha256:8305919cec3e8cba91d243117c4540ea9614b68c9023d048ed5b91f2a21ec636
 size 3438167536

unet/diffusion_pytorch_model.safetensors

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:684c32bfbfe2b6a3acc7e3735ed4d61ae68d0a6deb2bb2a51317a1c65e3d7584
+oid sha256:8305919cec3e8cba91d243117c4540ea9614b68c9023d048ed5b91f2a21ec636
 size 3438167536

vae/config.json

@@ -1,6 +1,6 @@
 {
   "_class_name": "AutoencoderKL",
-  "_diffusers_version": "0.22.0.dev0",
+  "_diffusers_version": "0.28.0.dev0",
   "act_fn": "silu",
   "block_out_channels": [
     128,
@@ -17,6 +17,8 @@
   "force_upcast": true,
   "in_channels": 3,
   "latent_channels": 4,
+  "latents_mean": null,
+  "latents_std": null,
   "layers_per_block": 2,
   "norm_num_groups": 32,
   "out_channels": 3,