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/RodVer2Flux")
prompt = "Image I created with this lora at 0.8, to get more face variety"
image = pipe(prompt).images[0]Civitai lora for Flux1dev (deleted)
- Prompt
- Image I created with this lora at 0.8, to get more face variety
- Downloads last month
- 15
Model tree for liming518/RodVer2Flux
Base model
black-forest-labs/FLUX.1-dev