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("jimipatel/gigachad123")
prompt = "movie scene, still of gigachad man, halloween, halloween costume, night sky, outdoors, 1boy, vampire costume, mascot, , faded colors, washed out image, film grain, 90s analog photo"
image = pipe(prompt).images[0]gigachad
- Prompt
- movie scene, still of gigachad man, halloween, halloween costume, night sky, outdoors, 1boy, vampire costume, mascot, , faded colors, washed out image, film grain, 90s analog photo
Trigger words
You should use gigachad 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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Base model
black-forest-labs/FLUX.1-dev