Instructions to use gpustack/stable-diffusion-v1-5-inpainting-GGUF with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use gpustack/stable-diffusion-v1-5-inpainting-GGUF with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("gpustack/stable-diffusion-v1-5-inpainting-GGUF", 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 Settings
- Draw Things
- DiffusionBee
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# stable-diffusion-v1-5-inpainting-GGUF
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!!! Experimental supported by [gpustack/llama-box](https://github.com/gpustack/llama-box)
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**Model creator**: [Runway ML](https://huggingface.co/ruwnay)<br/>
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**Original model**: [stable-diffusion-inpainting](https://huggingface.co/stable-diffusion-v1-5/stable-diffusion-inpainting)<br/>
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# stable-diffusion-v1-5-inpainting-GGUF
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!!! Experimental supported by [gpustack/llama-box v0.0.98+](https://github.com/gpustack/llama-box) only !!!
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**Model creator**: [Runway ML](https://huggingface.co/ruwnay)<br/>
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**Original model**: [stable-diffusion-inpainting](https://huggingface.co/stable-diffusion-v1-5/stable-diffusion-inpainting)<br/>
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