Instructions to use Fictiverse/Stable_Diffusion_PaperCut_Model with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Fictiverse/Stable_Diffusion_PaperCut_Model with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("Fictiverse/Stable_Diffusion_PaperCut_Model", dtype=torch.bfloat16, device_map="cuda") prompt = "Astronaut in a jungle, cold color palette, muted colors, detailed, 8k" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps
- Draw Things
- DiffusionBee
Commit ·
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Parent(s): 1bada1c
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README.md
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tags:
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- text-to-image
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---
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# Paper Cut model V1
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This is the fine-tuned Stable Diffusion model trained on Paper Cut images.
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Use **PaperCut** in your prompts.
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image = pipe(prompt).images[0]
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image.save("./R2-D2.png")
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```
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tags:
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- text-to-image
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---
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# 🧩 Paper Cut model V1
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This is the fine-tuned Stable Diffusion model trained on Paper Cut images.
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Use **PaperCut** in your prompts.
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image = pipe(prompt).images[0]
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image.save("./R2-D2.png")
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```
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### ✨ Community spotlight :
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[](https://www.youtube.com/watch?v=wQWHnZlxFj8)
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