Instructions to use JingyeChen22/textdiffuser2-full-ft-inpainting with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use JingyeChen22/textdiffuser2-full-ft-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("JingyeChen22/textdiffuser2-full-ft-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
File size: 135 Bytes
44ba2e1 | 1 2 3 4 | version https://git-lfs.github.com/spec/v1
oid sha256:23270c5f20cd3c33156183d8e8fe1cff1b14e70959390d5c0cb0eb60303bef9c
size 3438426629
|