Instructions to use vincenthugging/flux-dev-lora-miyoshi with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use vincenthugging/flux-dev-lora-miyoshi 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("vincenthugging/flux-dev-lora-miyoshi") prompt = "miyoshi" image = pipe(prompt).images[0] - Inference
- Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
- Xet hash:
- bffa1d6230c34f45be52c6900c1c2dca54c6b5bffdd1c60f00ef2a0e7e31a0e7
- Size of remote file:
- 172 MB
- SHA256:
- 5d36954eca447569b8f3733602cb29eab2a03dc81ede0fd75afb6d2e523c8d3d
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