Instructions to use LTL07/PSEC with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use LTL07/PSEC with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("LTL07/PSEC", 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 library_name, fix pipeline_tag
#1
by nielsr HF Staff - opened
This PR improves the model card by ensuring:
- there's a proper
pipeline_tag, ensuring the model can be found at https://huggingface.co/models?pipeline_tag=reinforcement-learning - the proper library is added, enabling "how to use" in the top right.
LTL07 changed pull request status to merged
Thanks for the careful improvement.