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("francsharma/gomez")
prompt = "<lora:Gomez_Addams_Flux:1> beautiful detailed photograph, man with slick black hair, mustache, wearing a pin stripe suit and bowtie, standing in a cafe smiling, holding a cognac"
image = pipe(prompt).images[0]gomez
- Prompt
- <lora:Gomez_Addams_Flux:1> beautiful detailed photograph, man with slick black hair, mustache, wearing a pin stripe suit and bowtie, standing in a cafe smiling, holding a cognac
- Prompt
- <lora:Gomez_Addams_Flux:1> beautiful detailed photograph, men with slick black hair, mustache, wearing a pin stripe suit and bowtie, smoking a cigar, standing in a cafesmiling
Trigger words
You should use gomez 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 francsharma/gomez
Base model
black-forest-labs/FLUX.1-dev