Instructions to use GraydientPlatformAPI/yogi-inpaint with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use GraydientPlatformAPI/yogi-inpaint 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/yogi-inpaint", 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:
- 26f9ed539fa20cea4daacabcf093d124d8b5699a2a5bf20dae1e63ca36fa021f
- Size of remote file:
- 246 MB
- SHA256:
- 72f7706ae05ff87c2d786022fbf073a96b705de121aa79b349ac4cf769b0fd25
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