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Fictiverse/Stable_Diffusion_PaperCut_Model/README.md

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+---
+license: creativeml-openrail-m
+tags:
+  - text-to-image
+---
+# 🧩 Paper Cut model V1
+This is the fine-tuned Stable Diffusion model trained on Paper Cut images.
+
+Use **PaperCut** in your prompts.
+
+### Sample images:
+![PaperCut.jpg](https://s3.amazonaws.com/moonup/production/uploads/1667910351389-635749860725c2f190a76e88.jpeg)
+![PaperCut.jpg](https://s3.amazonaws.com/moonup/production/uploads/1667912285222-635749860725c2f190a76e88.jpeg)
+Based on StableDiffusion 1.5 model
+
+### 🧨 Diffusers
+
+This model can be used just like any other Stable Diffusion model. For more information,
+please have a look at the [Stable Diffusion](https://huggingface.co/docs/diffusers/api/pipelines/stable_diffusion).
+
+You can also export the model to [ONNX](https://huggingface.co/docs/diffusers/optimization/onnx), [MPS](https://huggingface.co/docs/diffusers/optimization/mps) and/or [FLAX/JAX]().
+
+```python
+from diffusers import StableDiffusionPipeline
+import torch
+
+model_id = "Fictiverse/Stable_Diffusion_PaperCut_Model"
+pipe = StableDiffusionPipeline.from_pretrained(model_id, torch_dtype=torch.float16)
+pipe = pipe.to("cuda")
+
+prompt = "PaperCut R2-D2"
+image = pipe(prompt).images[0]
+
+image.save("./R2-D2.png")
+```
+
+### ✨ Community spotlight :
+@PiyarSquare :
+[![PiyarSquare video](https://img.youtube.com/vi/wQWHnZlxFj8/0.jpg)](https://www.youtube.com/watch?v=wQWHnZlxFj8)
+@MrPlasm0 :
+[![MrPlasm0 video](https://img.youtube.com/vi/J68hZ_-L6w4/0.jpg)](https://www.youtube.com/watch?v=J68hZ_-L6w4)
+@omsk13 :
+[![Omsk Music video](https://img.youtube.com/vi/BCZOD2AQCFg/0.jpg)](https://www.youtube.com/watch?v=BCZOD2AQCFg)