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README.md

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+---
+license: apache-2.0
+tags:
+- dreambooth-hackathon
+- Text-to-image
+- stable-diffusion
+pipeline_tag: text-to-image
+---
+https://civitai.com/models/21642/fashion3d
+
+import torch
+
+from diffusers import StableDiffusionPipeline
+
+pipe = StableDiffusionPipeline.from_pretrained("sd-dreambooth-library/fashion")  
+
+pipe = pipe.to("cuda")
+
+prompt = "a photograph of an astronaut riding a horse"
+
+image = pipe(prompt).images[0]
+
+image.save(f"astronaut_rides_horse.png")
+
+![image](https://s3.amazonaws.com/moonup/production/uploads/1669885576067-63044d493926de1f7ec709f4.png)
+![image](https://s3.amazonaws.com/moonup/production/uploads/1669885940159-63044d493926de1f7ec709f4.png)
+![de123af26a6c184d137487276175858.png](https://s3.amazonaws.com/moonup/production/uploads/1669886049338-63044d493926de1f7ec709f4.png)
+![55aa13dfd7e61edbe61d1fba5affc0e.png](https://s3.amazonaws.com/moonup/production/uploads/1669886100601-63044d493926de1f7ec709f4.png)

fashsion_20000.ckpt

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+size 4265327726

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model_index.json

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+{
+  "_class_name": "StableDiffusionPipeline",
+  "_diffusers_version": "0.7.0",
+  "feature_extractor": [
+    null,
+    null
+  ],
+  "safety_checker": [
+    null,
+    null
+  ],
+  "scheduler": [
+    "diffusers",
+    "DDIMScheduler"
+  ],
+  "text_encoder": [
+    "transformers",
+    "CLIPTextModel"
+  ],
+  "tokenizer": [
+    "transformers",
+    "CLIPTokenizer"
+  ],
+  "unet": [
+    "diffusers",
+    "UNet2DConditionModel"
+  ],
+  "vae": [
+    "diffusers",
+    "AutoencoderKL"
+  ]
+}