Instructions to use HelioAI/Helio-Z-Image-Turbo-LoRA with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use HelioAI/Helio-Z-Image-Turbo-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("HelioAI/Helio-Z-Image-Turbo-LoRA") prompt = "Astronaut in a jungle, cold color palette, muted colors, detailed, 8k" image = pipe(prompt).images[0] - Inference
- Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
Download image-test-2.jpg from HelioAI/Helio-Z-Image-Turbo-LoRA: direct link, hf CLI and curl.
- Browser
- Download file 396 kB
-
https://huggingface.co/HelioAI/Helio-Z-Image-Turbo-LoRA/resolve/main/image-test-2.jpg
- Command line
-
hf download hf://HelioAI/Helio-Z-Image-Turbo-LoRA/image-test-2.jpg
-
curl -L -o image-test-2.jpg https://huggingface.co/HelioAI/Helio-Z-Image-Turbo-LoRA/resolve/main/image-test-2.jpg
396 kB

- Xet hash:
- eab036954356f5d6ccda45ec586f38ab1e1e66ec7156f8782ff6e58eea6dd94a
- Size of remote file:
- 396 kB
- SHA256:
- ca926080c4f6a285cf0f98bef6905de7db91acb08fc36cadaadf78ea59b45f5b
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