Instructions to use INCModel/Z-Image-tiny-for-testing-W4A16-AutoRound with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use INCModel/Z-Image-tiny-for-testing-W4A16-AutoRound with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("INCModel/Z-Image-tiny-for-testing-W4A16-AutoRound", 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
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license: apache-2.0
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This model is a W4A16 model quantized from a tiny model for testing. Please follow the license of the original model.
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- Origin tiny model: [INCModel/Z-Image-tiny-for-testing](https://huggingface.co/INCModel/Z-Image-tiny-for-testing)
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- Origin model: [Tongyi-MAI/Z-Image](https://huggingface.co/Tongyi-MAI/Z-Image)
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license: apache-2.0
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tags:
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- auto-round
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This model is a W4A16 model quantized from a tiny model for testing. Please follow the license of the original model.
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- Origin tiny model: [INCModel/Z-Image-tiny-for-testing](https://huggingface.co/INCModel/Z-Image-tiny-for-testing)
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- Origin model: [Tongyi-MAI/Z-Image](https://huggingface.co/Tongyi-MAI/Z-Image)
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