End of training

README.md

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+
+---
+license: creativeml-openrail-m
+base_model: runwayml/stable-diffusion-v1-5
+instance_prompt: a photo of sks poorly-differentiated-adenocarcinoma
+tags:
+- stable-diffusion
+- stable-diffusion-diffusers
+- text-to-image
+- diffusers
+- dreambooth
+inference: true
+---
+    
+# DreamBooth - anic87/poor
+
+This is a dreambooth model derived from runwayml/stable-diffusion-v1-5. The weights were trained on a photo of sks poorly-differentiated-adenocarcinoma using [DreamBooth](https://dreambooth.github.io/).
+You can find some example images in the following. 
+
+![img_0](./image_0.png)
+![img_1](./image_1.png)
+![img_2](./image_2.png)
+![img_3](./image_3.png)
+
+
+DreamBooth for the text encoder was enabled: False.

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+  "_diffusers_version": "0.17.0.dev0",
+  "_name_or_path": "runwayml/stable-diffusion-v1-5",
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+    "CrossAttnDownBlock2D",
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+  "use_linear_projection": false
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feature_extractor/preprocessor_config.json

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+  "do_convert_rgb": true,
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model_index.json

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+  "_diffusers_version": "0.17.0.dev0",
+  "feature_extractor": [
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+  "vae": [
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safety_checker/config.json

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text_encoder/config.json

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tokenizer/special_tokens_map.json

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vae/config.json

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+    512
+  ],
+  "down_block_types": [
+    "DownEncoderBlock2D",
+    "DownEncoderBlock2D",
+    "DownEncoderBlock2D",
+    "DownEncoderBlock2D"
+  ],
+  "in_channels": 3,
+  "latent_channels": 4,
+  "layers_per_block": 2,
+  "norm_num_groups": 32,
+  "out_channels": 3,
+  "sample_size": 512,
+  "scaling_factor": 0.18215,
+  "up_block_types": [
+    "UpDecoderBlock2D",
+    "UpDecoderBlock2D",
+    "UpDecoderBlock2D",
+    "UpDecoderBlock2D"
+  ]
+}

vae/diffusion_pytorch_model.bin

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