Upload Baka-Diffusion[General].

There are a few issues with this. namely I cannot use latest diffusers version to convert this checkpoint to diffusers format. Diffusers==0.10.2 worked but There were deprecation warnings. Other than that if the diffuser format is foldered, then the Inference API on HuggingFace no longer works. As well as download counter. So I'm left with messy confusing page for Files and versions. HuggingFace please fix! (I just want to folder my things neatly man)

The checkpoint in this case is Baka-Diffusion[General].

.gitattributes

@@ -4,3 +4,7 @@ Images/model[[:space:]]showcase6[[:space:]]General.png filter=lfs diff=lfs merge
 Images/model[[:space:]]showcase6[[:space:]]S3D.png filter=lfs diff=lfs merge=lfs -text
 Safetensors/Baka-Diffusion\[General\].safetensors filter=lfs diff=lfs merge=lfs -text
 Safetensors/Baka-Diffusion\[S3D\].safetensors filter=lfs diff=lfs merge=lfs -text
+safety_checker/pytorch_model.bin filter=lfs diff=lfs merge=lfs -text
+text_encoder/pytorch_model.bin filter=lfs diff=lfs merge=lfs -text
+unet/diffusion_pytorch_model.bin filter=lfs diff=lfs merge=lfs -text
+vae/diffusion_pytorch_model.bin filter=lfs diff=lfs merge=lfs -text

feature_extractor/preprocessor_config.json

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+{
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+    "width": 224
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+  "do_center_crop": true,
+  "do_convert_rgb": true,
+  "do_normalize": true,
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+  "do_resize": true,
+  "feature_extractor_type": "CLIPFeatureExtractor",
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+    0.40821073
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+    0.27577711
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+  "rescale_factor": 0.00392156862745098,
+  "size": {
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+}

model_index.json

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+{
+  "_class_name": "StableDiffusionPipeline",
+  "_diffusers_version": "0.10.2",
+  "feature_extractor": [
+    "transformers",
+    "CLIPFeatureExtractor"
+  ],
+  "requires_safety_checker": true,
+  "safety_checker": [
+    "stable_diffusion",
+    "StableDiffusionSafetyChecker"
+  ],
+  "scheduler": [
+    "diffusers",
+    "DDIMScheduler"
+  ],
+  "text_encoder": [
+    "transformers",
+    "CLIPTextModel"
+  ],
+  "tokenizer": [
+    "transformers",
+    "CLIPTokenizer"
+  ],
+  "unet": [
+    "diffusers",
+    "UNet2DConditionModel"
+  ],
+  "vae": [
+    "diffusers",
+    "AutoencoderKL"
+  ]
+}

safety_checker/config.json

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safety_checker/pytorch_model.bin

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scheduler/scheduler_config.json

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+  "beta_schedule": "scaled_linear",
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text_encoder/config.json

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tokenizer/special_tokens_map.json

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tokenizer/tokenizer_config.json

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unet/config.json

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vae/config.json

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