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("LHRuig/yogicut")
prompt = "suit"
image = pipe(prompt).images[0]yogicut
- Prompt
- suit
Model description
yogicut lora
Trigger words
You should use yogicut to trigger the image generation.
Download model
Weights for this model are available in Safetensors format.
Download them in the Files & versions tab.
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Model tree for LHRuig/yogicut
Base model
black-forest-labs/FLUX.1-dev