Instructions to use tugan0329/flux-dev-yuchan with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use tugan0329/flux-dev-yuchan 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("tugan0329/flux-dev-yuchan") prompt = "A photo of a Chinese female YUCHAN, standing in front of Eiffel Tower wearing a sun hat, sunglasses, a blue and white striped shirt, and white arm sleeves. She wears a silver watch, and carries a white and red hand tote bag and is moderately far from camera. She has a soft smile." image = pipe(prompt).images[0] - Inference
- Notebooks
- Google Colab
- Kaggle
- Local Apps
- Draw Things
- DiffusionBee
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