Instructions to use WiroAI/Rose-Flux-LoRA with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use WiroAI/Rose-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/Rose-Flux-LoRA") prompt = "rosewiro, a young woman with silky black hair tied into a loose ponytail and striking green eyes. She wears a cozy beige sweater and jeans, sitting by a large window in a sunlit room. A steaming cup of tea rests in her hands as she gazes outside with a serene expression. Ultra-HD, realistic, with intricate details of her hair texture, soft lighting, and the peaceful ambiance of the room." image = pipe(prompt).images[0] - Transformers
How to use WiroAI/Rose-Flux-LoRA with Transformers:
# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("WiroAI/Rose-Flux-LoRA", dtype="auto") - Inference
- Notebooks
- Google Colab
- Kaggle
- Local Apps
- Draw Things
- DiffusionBee

- Xet hash:
- b0c2f90b6894ebf36d88e50312efb8edb4003517c5d31abd5b64fa771a19d8e2
- Size of remote file:
- 1.24 MB
- SHA256:
- ba43254eecb5af2e1837f75b8697b84226cd5a55580dc449735c6664d4a5a3b7
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