Adding `diffusers` weights of this model

feature_extractor/preprocessor_config.json

@@ -0,0 +1,28 @@
+{
+  "crop_size": {
+    "height": 224,
+    "width": 224
+  },
+  "do_center_crop": true,
+  "do_convert_rgb": true,
+  "do_normalize": true,
+  "do_rescale": true,
+  "do_resize": true,
+  "feature_extractor_type": "CLIPFeatureExtractor",
+  "image_mean": [
+    0.48145466,
+    0.4578275,
+    0.40821073
+  ],
+  "image_processor_type": "CLIPFeatureExtractor",
+  "image_std": [
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+    0.26130258,
+    0.27577711
+  ],
+  "resample": 3,
+  "rescale_factor": 0.00392156862745098,
+  "size": {
+    "shortest_edge": 224
+  }
+}

model_index.json

@@ -1,33 +1,33 @@
 {
-    "_class_name": "StableDiffusionPipeline",
-    "_diffusers_version": "0.16.1",
-    "feature_extractor": [
-        null,
-        null
-    ],
-    "requires_safety_checker": null,
-    "safety_checker": [
-        null,
-        null
-    ],
-    "scheduler": [
-        "diffusers",
-        "DEISMultistepScheduler"
-    ],
-    "text_encoder": [
-        "transformers",
-        "CLIPTextModel"
-    ],
-    "tokenizer": [
-        "transformers",
-        "CLIPTokenizer"
-    ],
-    "unet": [
-        "diffusers",
-        "UNet2DConditionModel"
-    ],
-    "vae": [
-        "diffusers",
-        "AutoencoderKL"
-    ]
-}
+  "_class_name": "StableDiffusionPipeline",
+  "_diffusers_version": "0.18.0.dev0",
+  "feature_extractor": [
+    "transformers",
+    "CLIPFeatureExtractor"
+  ],
+  "requires_safety_checker": true,
+  "safety_checker": [
+    "stable_diffusion",
+    "StableDiffusionSafetyChecker"
+  ],
+  "scheduler": [
+    "diffusers",
+    "DPMSolverMultistepScheduler"
+  ],
+  "text_encoder": [
+    "transformers",
+    "CLIPTextModel"
+  ],
+  "tokenizer": [
+    "transformers",
+    "CLIPTokenizer"
+  ],
+  "unet": [
+    "diffusers",
+    "UNet2DConditionModel"
+  ],
+  "vae": [
+    "diffusers",
+    "AutoencoderKL"
+  ]
+}

safety_checker/config.json

@@ -0,0 +1,168 @@
+{
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+  "_name_or_path": "CompVis/stable-diffusion-safety-checker",
+  "architectures": [
+    "StableDiffusionSafetyChecker"
+  ],
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+  "logit_scale_init_value": 2.6592,
+  "model_type": "clip",
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+    "vocab_size": 49408
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+    "transformers_version": "4.30.2",
+    "typical_p": 1.0,
+    "use_bfloat16": false
+  }
+}

safety_checker/model.fp16.safetensors

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safety_checker/model.safetensors

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safety_checker/pytorch_model.bin

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safety_checker/pytorch_model.fp16.bin

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scheduler/scheduler_config.json

@@ -1,21 +1,26 @@
 {
-  "_class_name": "DEISMultistepScheduler",
-  "_diffusers_version": "0.16.1",
-  "algorithm_type": "deis",
+  "_class_name": "DPMSolverMultistepScheduler",
+  "_diffusers_version": "0.18.0.dev0",
+  "algorithm_type": "dpmsolver++",
   "beta_end": 0.012,
   "beta_schedule": "scaled_linear",
   "beta_start": 0.00085,
   "clip_sample": false,
   "clip_sample_range": 1.0,
   "dynamic_thresholding_ratio": 0.995,
+  "lambda_min_clipped": -Infinity,
   "lower_order_final": true,
   "num_train_timesteps": 1000,
   "prediction_type": "epsilon",
+  "rescale_betas_zero_snr": false,
   "sample_max_value": 1.0,
   "set_alpha_to_one": false,
   "solver_order": 2,
-  "solver_type": "logrho",
+  "solver_type": "midpoint",
   "steps_offset": 1,
   "thresholding": false,
-  "trained_betas": null
+  "timestep_spacing": "leading",
+  "trained_betas": null,
+  "use_karras_sigmas": false,
+  "variance_type": null
 }

text_encoder/config.json

@@ -19,7 +19,7 @@
   "num_hidden_layers": 12,
   "pad_token_id": 1,
   "projection_dim": 768,
-  "torch_dtype": "float32",
+  "torch_dtype": "float16",
   "transformers_version": "4.30.2",
   "vocab_size": 49408
 }

text_encoder/model.fp16.safetensors

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text_encoder/pytorch_model.bin

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text_encoder/pytorch_model.fp16.bin

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unet/config.json

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 {
   "_class_name": "UNet2DConditionModel",
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   "act_fn": "silu",
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@@ -27,6 +27,7 @@
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vae/config.json

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