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.gitattributes

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 *.safetensors filter=lfs diff=lfs merge=lfs -text
 saved_model/**/* filter=lfs diff=lfs merge=lfs -text
 *.tar.* filter=lfs diff=lfs merge=lfs -text
-*.tar filter=lfs diff=lfs merge=lfs -text
 *.tflite filter=lfs diff=lfs merge=lfs -text
 *.tgz filter=lfs diff=lfs merge=lfs -text
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README.md

@@ -1,3 +1,17 @@
 ---
 license: creativeml-openrail-m
+tags:
+- text-to-image
+widget:
+- text: dress
 ---
+### dress_style_v1 Dreambooth model trained by kadirnar with [Hugging Face Dreambooth Training Space](https://huggingface.co/spaces/multimodalart/dreambooth-training) with the v1-5 base model
+
+You run your new concept via `diffusers` [Colab Notebook for Inference](https://colab.research.google.com/github/huggingface/notebooks/blob/main/diffusers/sd_dreambooth_inference.ipynb). Don't forget to use the concept prompts! 
+
+Sample pictures of:
+  
+  
+  
+dress (use that on your prompt) 
+![dress 0](https://huggingface.co/kadirnar/dress-style-v1/resolve/main/concept_images/dress_style_%281%29.jpg)![dress 1](https://huggingface.co/kadirnar/dress-style-v1/resolve/main/concept_images/dress_style_%282%29.jpg)![dress 2](https://huggingface.co/kadirnar/dress-style-v1/resolve/main/concept_images/dress_style_%283%29.jpg)![dress 3](https://huggingface.co/kadirnar/dress-style-v1/resolve/main/concept_images/dress_style_%284%29.jpg)

feature_extractor/preprocessor_config.json

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+  "do_center_crop": true,
+  "do_convert_rgb": true,
+  "do_normalize": true,
+  "do_resize": true,
+  "feature_extractor_type": "CLIPFeatureExtractor",
+  "image_mean": [
+    0.48145466,
+    0.4578275,
+    0.40821073
+  ],
+  "image_std": [
+    0.26862954,
+    0.26130258,
+    0.27577711
+  ],
+  "resample": 3,
+  "size": 224
+}

logs/dreambooth/1681898246.3009632/events.out.tfevents.1681898246.s-artgan-webui-t4-medium-1dd37-586cf67f9c-8rhsh.1.1

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model.ckpt

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model_index.json

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+  "_diffusers_version": "0.6.0",
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+    "transformers",
+    "CLIPFeatureExtractor"
+  ],
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+  ],
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+  "vae": [
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+    "AutoencoderKL"
+  ]
+}

safety_checker/config.json

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scheduler/scheduler_config.json

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text_encoder/config.json

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token_identifier.txt

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tokenizer/special_tokens_map.json

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tokenizer/tokenizer_config.json

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