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("anthienlong/fluxpro-style")
prompt = "portrait, close up of a Female Sphinx, epic, Large Head, Lustful, stylized, sexy, heroic, fluxprostyle"
image = pipe(prompt).images[0]Flux Pro 1.1 Style for Flux.1 DEV
- Prompt
- portrait, close up of a Female Sphinx, epic, Large Head, Lustful, stylized, sexy, heroic, fluxprostyle
- Negative Prompt
- -
Model description
Flux Pro 1.1 Style for Flux.1 DEV
Trigger words
You should use fluxprostyle 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 anthienlong/fluxpro-style
Base model
black-forest-labs/FLUX.1-dev