Instructions to use AlekseyCalvin/CheyFluxLoRA with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use AlekseyCalvin/CheyFluxLoRA 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("AlekseyCalvin/CheyFluxLoRA") prompt = "photo of beautiful CHEY woman on valentine's card with flowers, crisp photo shot on cell phone, long brown hair with pink ends strands, distinctive nose, young and thin, with decorative text of romantic poem, stylish hip CHEY woman,red frame, brown and purple hair, in her 20s," image = pipe(prompt).images[0] - Inference
- Notebooks
- Google Colab
- Kaggle
- Local Apps
- Draw Things
- DiffusionBee
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Model tree for AlekseyCalvin/CheyFluxLoRA
Base model
black-forest-labs/FLUX.1-dev