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 link to paper
#2
by nielsr HF Staff - opened
This PR adds a link to the paper page to the model card of https://huggingface.co/ldiex/TACA. This makes the model card more complete, which enables other researchers to find the paper easier.
ldiex changed pull request status to merged