Instructions to use AiAF/Urcarta-ucrt_LoRA_Flux1 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use AiAF/Urcarta-ucrt_LoRA_Flux1 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("AiAF/Urcarta-ucrt_LoRA_Flux1") prompt = "Urcarta \\(Artist\\), @urct, 裏方 \\(芸術家\\), A girl with long, flowing blonde hair and a large red bow on her head. She is wearing a white and red t-shirt with a graphic design, black shorts, and black shoes. She has a playful expression and is standing with one hand on her hip and the other holding her tail. The background is a simple gradient of pink and white." image = pipe(prompt).images[0] - Inference
- Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
Add generated example
#15 opened over 1 year ago
by
AiAF
Add generated example
#2 opened over 1 year ago
by
AiAF