Text-to-Image
Diffusers
Safetensors
English
lora
t2i
photorealistic
woman
celebrity
likeness
z-image
Z-Image-Turbo
z-image_turbo
ZiT
Instructions to use pmczip/Z-Image-Turbo_Models with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use pmczip/Z-Image-Turbo_Models 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("pmczip/Z-Image-Turbo_Models") prompt = "413xkin65t0n, auburn hair, blue eyes, denim jacket, black turtleneck sweater, jeans, lips, outdoors, on a ranch, leaning on a wooden post, morning, bright, " image = pipe(prompt).images[0] - Inference
- Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
Update README.md
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README.md
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sweater, jeans, lips, outdoors, on a ranch, leaning on a wooden post,
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morning, bright,
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output:
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url: ZIT_Images/
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31i5h4cuthb3rt, blonde hair, blue eyes, denim jacket, black turtleneck
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sweater, jeans, lips, outdoors, on a ranch, leaning on a wooden post,
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sweater, jeans, lips, outdoors, on a ranch, leaning on a wooden post,
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morning, bright,
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output:
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url: ZIT_Images/c4th3rin3b311.png
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- text: >-
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31i5h4cuthb3rt, blonde hair, blue eyes, denim jacket, black turtleneck
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sweater, jeans, lips, outdoors, on a ranch, leaning on a wooden post,
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