Instructions to use jiaxiangc/res-adapter with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use jiaxiangc/res-adapter with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("jiaxiangc/res-adapter", 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
- Draw Things
- DiffusionBee
Correct pipeline tag and add citation metadata
#3
by nielsr HF Staff - opened
This PR corrects the pipeline_tag to text-to-image to accurately reflect the model's functionality and adds a standard citation field to the YAML metadata, removing the non-standard cite field from the markdown.