How to use falgasdev/z-brushwork with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("Tongyi-MAI/Z-Image-Turbo", dtype=torch.bfloat16, device_map="cuda") pipe.load_lora_weights("falgasdev/z-brushwork") prompt = "-" image = pipe(prompt).images[0]
https://huggingface.co/falgasdev/z-brushwork/resolve/main/README.md
hf download hf://falgasdev/z-brushwork/README.md
curl -L -o README.md https://huggingface.co/falgasdev/z-brushwork/resolve/main/README.md
tags: - text-to-image - lora - diffusers - template:diffusion-lora widget: - output: url: images/zbrush.webp text: '-' base_model: Tongyi-MAI/Z-Image-Turbo instance_prompt: null
Download them in the Files & versions tab.
