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("flux-x33/kennedy")
prompt = "sfw, tentacles, red_heart, male_focus, heart, dark fantasy, no humans"
image = pipe(prompt).images[0]kennedy
- Prompt
- sfw, tentacles, red_heart, male_focus, heart, dark fantasy, no humans
- Negative Prompt
- blurry, bad quality
Model description
any-more
Trigger words
You should use kennedy 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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Model tree for flux-x33/kennedy
Base model
black-forest-labs/FLUX.1-dev