Instructions to use GraydientPlatformAPI/raemumix-inpaintv8 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use GraydientPlatformAPI/raemumix-inpaintv8 with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("GraydientPlatformAPI/raemumix-inpaintv8", 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:
- a68303227fb4f421fb75dfa9f6b486e0e2586ea4dcdcea8a69bdb93e8b7fe309
- Size of remote file:
- 167 MB
- SHA256:
- 24b5cf8aff15c8a9f3f712f3a4287340c1740f49e8918864672fe4ab22f75362
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