Instructions to use DownFlow/Z-Image-Turbo-Fuli-LoRA with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use DownFlow/Z-Image-Turbo-Fuli-LoRA with PEFT:
from peft import PeftModel from transformers import AutoModel base_model = AutoModel.from_pretrained("Tongyi-MAI/Z-Image-Turbo") model = PeftModel.from_pretrained(base_model, "DownFlow/Z-Image-Turbo-Fuli-LoRA") - Diffusers
How to use DownFlow/Z-Image-Turbo-Fuli-LoRA 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("DownFlow/Z-Image-Turbo-Fuli-LoRA") prompt = "Astronaut in a jungle, cold color palette, muted colors, detailed, 8k" image = pipe(prompt).images[0] - Inference
- Notebooks
- Google Colab
- Kaggle
Welcome to the community
The community tab is the place to discuss and collaborate with the HF community!