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
- Xet hash:
- 1191f50a2baca1d8784a53a38dd26e0f90f59cebde8df3fb009920585ce8a644
- Size of remote file:
- 170 MB
- SHA256:
- bd1a86b8385d6958f163b2638115d66cb56114ca317304bc108e712c179cb58c
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