Instructions to use udg/anyt5 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use udg/anyt5 with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("udg/anyt5", torch_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:
- 8feed15dd1e981c5fadf37dffeed4ffdf4083ebd00958b29dfdea648a99f6b47
- Size of remote file:
- 335 MB
- SHA256:
- 0c7b731f67c84964176fc91de830e9d72df6b1eab5dc831dacee74ec6a45e48a
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