Text-to-Image
Diffusers
Safetensors
English
QuantFuncPipeline
custom_z_image
image-generation
diffusion
quantized
quantfunc
Instructions to use QuantFunc/Z-Image-Series with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use QuantFunc/Z-Image-Series with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("QuantFunc/Z-Image-Series", dtype=torch.bfloat16, device_map="cuda") prompt = "Astronaut in a jungle, cold color palette, muted colors, detailed, 8k" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps
- Draw Things
- DiffusionBee
Upload transformer/z-image-turbo-50x-below-lighting-v2.safetensors with huggingface_hub
Browse files
transformer/z-image-turbo-50x-below-lighting-v2.safetensors
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