Instructions to use Burroughs352/CS with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Burroughs352/CS with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("Tongyi-MAI/Z-Image-Turbo", dtype=torch.bfloat16, device_map="cuda") pipe.load_lora_weights("Burroughs352/CS") prompt = "laire is standing on a footpath in a suburban setting. She is staring at the viewer and smiling. She has long brown hair. She is wearing a purple t-shirt and blue jeans. It is night time. The scene is illuminated by the moon shining between the trees. There are lots of trees. Roots are showing through the ground. " image = pipe(prompt).images[0] - Inference
- Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
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