Instructions to use burhansyam/rachel with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use burhansyam/rachel 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("burhansyam/rachel") prompt = "Close up photo of rachel btr's face, very detailed. She is looking at the viewer with bright and loving eyes. She is pink dress with flower motif. She is wearing a perfect pale-yellow soft sweater. Hasselblad H6D-400c MS, low exposure, high contrast, ISO 100, with a 120mm macro lens." image = pipe(prompt).images[0] - Inference
- Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
Welcome to the community
The community tab is the place to discuss and collaborate with the HF community!