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
- Draw Things
- DiffusionBee
flex dev lora miyoshi
Model description
a lora for miyoshi(a famous model in Japan) based on Flux1.D
Trigger words
You should use miyoshi to trigger the image generation.
Download model
Weights for this model are available in Safetensors format.
Download them in the Files & versions tab.
Training at fal.ai
Training was done using fal.ai/models/fal-ai/flux-lora-general-training.
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Model tree for vincenthugging/flux-dev-lora-miyoshi
Base model
black-forest-labs/FLUX.1-dev