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("VHKE/uzuri-nwflps-flip-flops")
prompt = "A young woman wearing uzuri nwflps flip flops --d 45"
image = pipe(prompt).images[0]uzuri nwflps flip flops
A Flux LoRA trained on a local computer with Fluxgym
- Prompt
- A young woman wearing uzuri nwflps flip flops --d 45
Trigger words
You should use uzuri nwflps flip flops to trigger the image generation.
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Weights for this model are available in Safetensors format.
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Base model
black-forest-labs/FLUX.1-dev