Instructions to use WiroAI/Sawako-Kuronuma-Flux-LoRA with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use WiroAI/Sawako-Kuronuma-Flux-LoRA 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("WiroAI/Sawako-Kuronuma-Flux-LoRA") prompt = "swkwiro, anime coloring, an anime girl, black hair, solo, long hair, school uniform, smile, black eyes, blush, looking at viewer, open mouth, bow, blazer, bangs, blunt bangs, upper body, shirt, red bow, bowtie, long sleeves, hime cut, waving at viewer" image = pipe(prompt).images[0] - Transformers
How to use WiroAI/Sawako-Kuronuma-Flux-LoRA with Transformers:
# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("WiroAI/Sawako-Kuronuma-Flux-LoRA", dtype="auto") - Inference
- Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
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