Instructions to use anhnct/Gligen_Inpainting_Text_Image with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use anhnct/Gligen_Inpainting_Text_Image with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("anhnct/Gligen_Inpainting_Text_Image", 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:
- f17e49491b75c090bb4d30c36d6d63ccbf1cec9dfc12ffa5b16c809fb28df13e
- Size of remote file:
- 167 MB
- SHA256:
- 9a752f69b257151573383a287e53fc11d96fad6a12ce2d9c33b1a4f94bb589ba
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