import torch
from diffusers import DiffusionPipeline
# switch to "mps" for apple devices
pipe = DiffusionPipeline.from_pretrained("Shakker-Labs/FLUX.1-dev-ControlNet-Union-Pro", dtype=torch.bfloat16, device_map="cuda")
pipe.load_lora_weights("MRMEDIALAB/PARKSEONGHA")
prompt = "<lora:parkseongha-v2:1> PARKSEONGHA red teddy bear stone carving, red bow tie, pink stitching, white background, walking."
image = pipe(prompt).images[0]PARKSEONGHA
- Prompt
- <lora:parkseongha-v2:1> PARKSEONGHA red teddy bear stone carving, red bow tie, pink stitching, white background, walking.
Trigger words
You should use PARKSEONGHA 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