Instructions to use Jonjew/BarbaraRhoades with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Jonjew/BarbaraRhoades 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("Jonjew/BarbaraRhoades") prompt = "SFW, brightly lit, The image is a portrait of a woman standing in an art gallery. She is wearing a black long-sleeved top and black leather pants. She has long e hair that is styled in loose waves and is wearing minimal makeup. The woman is smiling and looking directly at the camera. In the background, there are several paintings hanging on the wall. The overall mood of the image is confident and relaxed., aidmaimageupgrader<lora:flux\\custom\\celebrity\\barbara-rhoades.safetensors:1.05:1.05> <lora:flux\\turbo-8-step-flux.safetensors:0.5:0.5> <lora:flux\\style\\Common\\aidmaImageUprader-FLUX-v0.3.safetensors:0.25:0.25>" image = pipe(prompt).images[0] - Inference
- Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
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