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", torch_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:
- 3875d0e19f7e8b1393a837282603190ca9ed3587565f9f897c5d87079b63996c
- Size of remote file:
- 1.39 GB
- SHA256:
- 7b8d5d7711883e55d819b2f988e64980bd10cbf24899bfc13920a326b839f0ab
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