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("ChandrilBasu/cm")
prompt = "close-up photo of <lora:Cillian_Murphy:1.1> man, (((modest outfit))), (((modesty))), (((modest clothes))), (((modest apparel))), (((looking directly at viewer))), ((facing viewer)), (eye contact maintained with viewer), centered, face centered. Detailed, intimate, clear, personal"
image = pipe(prompt).images[0]Cm
- Prompt
- close-up photo of <lora:Cillian_Murphy:1.1> man, (((modest outfit))), (((modesty))), (((modest clothes))), (((modest apparel))), (((looking directly at viewer))), ((facing viewer)), (eye contact maintained with viewer), centered, face centered. Detailed, intimate, clear, personal
- Negative Prompt
- wide shot, distant, blurry, impersonal
Trigger words
You should use man to trigger the image generation.
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Weights for this model are available in Safetensors format.
Download them in the Files & versions tab.
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Base model
black-forest-labs/FLUX.1-dev