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("AIGCDuckBoss/fluxlora_cool-posters")
prompt = "A heroic Captain America, shield in hand and a resolute stance. In a war-torn field with tanks and debris."
image = pipe(prompt).images[0]cool-posters
- Prompt
- A heroic Captain America, shield in hand and a resolute stance. In a war-torn field with tanks and debris.
- Prompt
- cool style,A stylish young man
- Prompt
- cool_style,A powerful Superman with a flowing red cape and a determined look on his face. In a city skyline filled with skyscrapers and billowing clouds.
- Prompt
- cool style,A fierce female figure
Model description
Cool posters style Trigger word: cool_style Weight: 1~0.6
Trigger words
You should use cool_style 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 AIGCDuckBoss/fluxlora_cool-posters
Base model
black-forest-labs/FLUX.1-dev