Instructions to use TeslaYang123/TC-Light with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use TeslaYang123/TC-Light with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("TeslaYang123/TC-Light", 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
Add pipeline tag and project page link
#1
by nielsr HF Staff - opened
This PR adds a model card ensuring it can be found at https://huggingface.co/models?pipeline_tag=image-to-image&sort=trending.
It also includes a link to the project page.
TeslaYang123 changed pull request status to merged