Instructions to use ldiex/TACA with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use ldiex/TACA with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("ldiex/TACA", 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
Add library name and link to code
#1
by nielsr HF Staff - opened
This PR ensures https://huggingface.co/ldiex/TACA can properly be integrated with the Diffusers library, using the "how to use" button on the top right.
It also adds a link to the Github repository.
ldiex changed pull request status to merged