Text-to-Image
Diffusers
Chinese
AltDiffusionPipeline
stable-diffusion
stable-diffusion-diffusers
multilingual
English(En)
Chinese(Zh)
Spanish(Es)
French(Fr)
Russian(Ru)
Japanese(Ja)
Korean(Ko)
Arabic(Ar)
Italian(It)
Instructions to use BAAI/AltDiffusion-m9 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use BAAI/AltDiffusion-m9 with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("BAAI/AltDiffusion-m9", 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
Update README.md
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README.md
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@@ -282,6 +282,19 @@ Note: The long image generation technology here is provided by Right Brain Techn
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# 许可/License
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# 引用/Citation
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Please cite our paper if you find it helpful :)
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```
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@misc{ye2023altdiffusion,
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title={AltDiffusion: A Multilingual Text-to-Image Diffusion Model},
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author={Fulong Ye and Guang Liu and Xinya Wu and Ledell Wu},
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year={2023},
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eprint={2308.09991},
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archivePrefix={arXiv},
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primaryClass={cs.CV}
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}
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```
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# 许可/License
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