Instructions to use nphSi/Z-Image-Lora with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use nphSi/Z-Image-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", dtype=torch.bfloat16, device_map="cuda") pipe.load_lora_weights("nphSi/Z-Image-Lora") prompt = "Alexandra Chando (vrtlAlexandraChando)" image = pipe(prompt).images[0] - Inference
- Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
Download Workflow/ComfyUI-models.7z from nphSi/Z-Image-Lora: direct link, hf CLI and curl.
- Browser
- Download file 384 MB
-
https://huggingface.co/nphSi/Z-Image-Lora/resolve/main/Workflow/ComfyUI-models.7z
- Command line
-
hf download hf://nphSi/Z-Image-Lora/Workflow/ComfyUI-models.7z
-
curl -L -o ComfyUI-models.7z https://huggingface.co/nphSi/Z-Image-Lora/resolve/main/Workflow/ComfyUI-models.7z
384 MB
- Xet hash:
- a3c9086356ba7267d57ddbed8ba3d5ceef66778161ddc5ba1309b7eac0b72629
- Size of remote file:
- 384 MB
- SHA256:
- 2f23fa068a67bb2b0a37081a462562dd11b04acd22353fc556339e2e6d5e3094
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