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("leonel4rd/RidingBean1989AnimeManga")
prompt = "UNICODE\u0000\u0000c\u0000i\u0000n\u0000e\u0000m\u0000a\u0000t\u0000i\u0000c\u0000 \u0000f\u0000i\u0000l\u0000m\u0000 \u0000s\u0000t\u0000i\u0000l\u0000l\u0000 \u0000o\u0000f\u0000 \u0000 \u0000<\u0000l\u0000o\u0000r\u0000a\u0000:\u0000c\u0000a\u0000r\u0000t\u0000o\u0000o\u0000n\u0000 \u0000(\u0000R\u0000i\u0000d\u0000i\u0000n\u0000g\u0000 \u0000B\u0000e\u0000a\u0000n\u0000)\u0000 \u0000(\u00001\u00009\u00008\u00009\u0000)\u0000:\u00000\u0000.\u00009\u0000>\u0000"
image = pipe(prompt).images[0]RidingBean1989Cartoon
- Prompt
- UNICODEcinematic film still of <lora:cartoon (Riding Bean) (1989):0.9>
Trigger words
You should use cartoon 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