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]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