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
- Draw Things
- DiffusionBee
Upload ZI Adriana Lima (vrtlAdrianaLima)-ID.webp
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ZI[[:space:]]Heidi[[:space:]]Klum[[:space:]](vrtlHeidiKlum)-ID.webp filter=lfs diff=lfs merge=lfs -text
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ZI[[:space:]]Leni[[:space:]]Klum[[:space:]](vrtlLeniKlum)-ID.webp filter=lfs diff=lfs merge=lfs -text
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ZI[[:space:]]Jill[[:space:]]Wagner[[:space:]](vrtlJillWagner)-ID.webp filter=lfs diff=lfs merge=lfs -text
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ZI[[:space:]]Heidi[[:space:]]Klum[[:space:]](vrtlHeidiKlum)-ID.webp filter=lfs diff=lfs merge=lfs -text
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ZI[[:space:]]Leni[[:space:]]Klum[[:space:]](vrtlLeniKlum)-ID.webp filter=lfs diff=lfs merge=lfs -text
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ZI[[:space:]]Jill[[:space:]]Wagner[[:space:]](vrtlJillWagner)-ID.webp filter=lfs diff=lfs merge=lfs -text
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ZI[[:space:]]Adriana[[:space:]]Lima[[:space:]](vrtlAdrianaLima)-ID.webp filter=lfs diff=lfs merge=lfs -text
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ZI Adriana Lima (vrtlAdrianaLima)-ID.webp
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