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("HIRO12121212/aka")
prompt = "ASCII\u0000\u0000\u0000{\"aigc_info\":{\"aigc_label_type\":0,\"source_info\":\"dreamina\"},\"data\":{\"os\":\"web\",\"product\":\"dreamina\",\"exportType\":\"generation\",\"pictureId\":\"0\"},\"trace_info\":{\"originItemId\":\"7505304753157557565\"}}"
image = pipe(prompt).images[0]aka
- Prompt
- ASCII{"aigc_info":{"aigc_label_type":0,"source_info":"dreamina"},"data":{"os":"web","product":"dreamina","exportType":"generation","pictureId":"0"},"trace_info":{"originItemId":"7505304753157557565"}}
Model description
hihh
Trigger words
You should use luna to trigger the image generation.
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Base model
black-forest-labs/FLUX.1-dev