Instructions to use chau9ho/lala with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use chau9ho/lala with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("black-forest-labs/FLUX.1-dev", dtype=torch.bfloat16, device_map="cuda") pipe.load_lora_weights("chau9ho/lala") prompt = " a small, fluffy poodle with a soft, curly coat in a light cream color,sitting on a soft, oversized blanket, surrounded by an array of colorful storybooks and plush toys, with a cozy reading nook in the background. The poodle gazes up with a joyful expression, as if inviting you to join in on the adventure. LALA_HK" image = pipe(prompt).images[0] - Inference
- Notebooks
- Google Colab
- Kaggle
- Local Apps
- Draw Things
- DiffusionBee
Welcome to the community
The community tab is the place to discuss and collaborate with the HF community!