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("danielpleus/daniel")
prompt = "a D4N1EL man in a bustling cafe "
image = pipe(prompt).images[0]daniel
Model trained with AI Toolkit by Ostris
- Prompt
- a D4N1EL man in a bustling cafe
- Prompt
- a D4N1EL man in front of the eiffel tower
- Prompt
- a D4N1EL man in hamburg
Trigger words
You should use D4N1EL 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 danielpleus/daniel
Base model
black-forest-labs/FLUX.1-dev