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("gitgato/mabama-lora-flux-v2")
prompt = "mabama a beautiful woman with cascading auburn hair, bends gracefully, her form sculpted by the soft light, wearing exquisite crimson lingerie; hyper-realistic rendering, emphasizing intricate lace details and the subtle sheen of silk, a dramatic chiaroscuro lighting highlighting her curves, evoking a sense of alluring mystery and quiet confidence."
image = pipe(prompt).images[0]mabama-lora-flux-v2
- Prompt
- mabama a beautiful woman with cascading auburn hair, bends gracefully, her form sculpted by the soft light, wearing exquisite crimson lingerie; hyper-realistic rendering, emphasizing intricate lace details and the subtle sheen of silk, a dramatic chiaroscuro lighting highlighting her curves, evoking a sense of alluring mystery and quiet confidence.
- Negative Prompt
- low quality
Model description
mabama
Trigger words
You should use mabama a beautiful woman 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 gitgato/mabama-lora-flux-v2
Base model
black-forest-labs/FLUX.1-dev