Instructions to use mrcuddle/URPM-Inpaint-Hyper-SDXL with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use mrcuddle/URPM-Inpaint-Hyper-SDXL with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("mrcuddle/URPM-Inpaint-Hyper-SDXL", 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
- Xet hash:
- 2ae4605a83bbf0f7e48a7eb20f50f15a72d8137760292c537a90140f370d961d
- Size of remote file:
- 246 MB
- SHA256:
- c5dd13a6c0b1280a3998084a49bc3cbecea3889db6db3c1618cb25a4415d6f74
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