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("vcollos/VitorCollos")
prompt = "Portrait of Vitor Collos in a office"
image = pipe(prompt).images[0]Vitor Collos
- Prompt
- Portrait of Vitor Collos in a office
Model description
Inferences of Vitor
Trigger words
You should use Vitor to trigger the image generation.
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Weights for this model are available in PyTorch,Safetensors format.
Download them in the Files & versions tab.
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Model tree for vcollos/VitorCollos
Base model
black-forest-labs/FLUX.1-dev