Instructions to use flymy-ai/flux-dev-lora-example with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use flymy-ai/flux-dev-lora-example 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("flymy-ai/flux-dev-lora-example") prompt = "Astronaut in a jungle, cold color palette, muted colors, detailed, 8k" image = pipe(prompt).images[0] - Inference
- Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
Commit History
-
Update LoRA model to Valentin character with examples
- Changed trigger word from 'ohwx woman' to 'valentin' - Added character_lora.safetensors model file - Updated README with new generation examples (gen1, gen3, gen5, gen7) - Added assets folder with dataset images and generation examples - Updated code examples and prompts - Configured Git LFS for image files29241f9