How to use leonel4rd/DBZFLUX with Diffusers:
pip install -U diffusers transformers accelerate
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/DBZFLUX") prompt = "UNICODE\u0000\u0000<\u0000l\u0000o\u0000r\u0000a\u0000:\u0000A\u0000k\u0000i\u0000r\u0000a\u0000_\u0000T\u0000o\u0000r\u0000i\u0000y\u0000a\u0000m\u0000a\u0000_\u0000S\u0000t\u0000y\u0000l\u0000e\u0000_\u0000F\u0000X\u0000-\u00000\u00000\u00000\u00000\u00000\u00001\u0000:\u00001\u0000>\u0000B\u0000e\u0000n\u0000d\u0000e\u0000r\u0000 \u0000i\u0000n\u0000 \u0000t\u0000o\u0000r\u0000i\u0000y\u0000a\u0000m\u0000a\u0000_\u0000s\u0000t\u0000y\u0000l\u0000e\u0000" image = pipe(prompt).images[0]
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