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
Commit History
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Add link to paper
Verified signatureThis 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.a8dec8a
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Verified signature- Add library name and link to code (4d59a73612b4f8e050c26d48c9e17c456ea2ad8c) Co-authored-by: Niels Rogge <nielsr@users.noreply.huggingface.co>f3e9246 -
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