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-vincentyang")
prompt = "vincentyang"
image = pipe(prompt).images[0]flux dev lora vincentyang
Model description
A Flux1.D based Loral for vinentyang, personal usage just for myself
Trigger words
You should use vincentyang 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-fast-training.
- Downloads last month
- 4
Model tree for vincenthugging/flux-dev-lora-vincentyang
Base model
black-forest-labs/FLUX.1-dev