Instructions to use GraydientPlatformAPI/visionix-inpainting with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use GraydientPlatformAPI/visionix-inpainting 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/visionix-inpainting", 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:
- 03f84681323ccd703f11b330bb70f6e7aa616afa634fd3948c7ad34e60f4addc
- Size of remote file:
- 246 MB
- SHA256:
- 1137fe70a4f9a83866b61a11b25909839ab9a97c7a053bf9dadd0035fe6a7fd7
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