Instructions to use liming518/RodVerFlux with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use liming518/RodVerFlux 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("liming518/RodVerFlux") prompt = "Image I created with this lora at 0.1, to get more face variety" image = pipe(prompt).images[0] - Inference
- Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
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url: images/
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base_model: black-forest-labs/FLUX.1-dev
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instance_prompt: null
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url: images/img0.png
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base_model: black-forest-labs/FLUX.1-dev
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instance_prompt: null
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