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,Tongyi-MAI/Z-Image-Turbo", dtype=torch.bfloat16, device_map="cuda") pipe.load_lora_weights("nphSi/Z-Image-Lora") prompt = "Alexandra Chando (vrtlAlexandraChando)" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
Upload ZI Rachel Cook (vrtlRachelCook)-ID.webp with huggingface_hub
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ZI[[:space:]]Madison[[:space:]]Beer[[:space:]](vrtlMadisonBeer)-ID.webp filter=lfs diff=lfs merge=lfs -text
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ZI[[:space:]]Lisa[[:space:]]Vicari[[:space:]](vrtlLisaVicari)-ID.webp filter=lfs diff=lfs merge=lfs -text
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ZI[[:space:]]Madison[[:space:]]Beer[[:space:]](vrtlMadisonBeer)-ID.webp filter=lfs diff=lfs merge=lfs -text
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ZI[[:space:]]Melanie[[:space:]]Laurent[[:space:]](vrtlMelanieLaurent)-ID.webp filter=lfs diff=lfs merge=lfs -text
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ZI[[:space:]]Rachel[[:space:]]Cook[[:space:]](vrtlRachelCook)-ID.webp filter=lfs diff=lfs merge=lfs -text
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ZI Rachel Cook (vrtlRachelCook)-ID.webp
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