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/Sar1ta")
prompt = "Sar1ta a woman playing the guitar, on stage, singing a song, laser lights, punk rocker"
image = pipe(prompt).images[0]Sar1ta
- Prompt
- Sar1ta a woman playing the guitar, on stage, singing a song, laser lights, punk rocker
- Prompt
- Sar1ta a woman holding a coffee cup, in a beanie, sitting at a cafe
Model description
Trained with AI Toolkit
Trigger words
You should use Sar1ta to trigger the image generation.
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Base model
black-forest-labs/FLUX.1-dev