Instructions to use zenlm/zen3-image with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use zenlm/zen3-image with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("zenlm/zen3-image", 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 Settings
- Draw Things
- DiffusionBee
Upload NOTICE with huggingface_hub
Browse files
NOTICE
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zen3-image
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==========
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This repository repackages, without modification, the model weights from:
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Qwen/Qwen-Image
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https://huggingface.co/Qwen/Qwen-Image
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Copyright (c) Alibaba Cloud / Qwen team
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Licensed under the Apache License, Version 2.0
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This is NOT an independently trained model. All credit for the underlying
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weights belongs to the Alibaba Qwen team. The Apache-2.0 license of the
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upstream release applies unchanged; see the LICENSE file.
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Repackaged and re-hosted under the zenlm namespace for convenience.
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