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("Gemneye/M8il3")
prompt = "-"
image = pipe(prompt).images[0]M8il3
- Prompt
- -
Model description
Trained with AI Toolkit
Trigger words
You should use M8il3 to trigger the image generation.
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Base model
black-forest-labs/FLUX.1-dev