Text-to-Image
Diffusers
Chinese
AltDiffusionPipeline
stable-diffusion
stable-diffusion-diffusers
bilingual
Chinese
en
English
Instructions to use BAAI/AltDiffusion with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use BAAI/AltDiffusion 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", 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
Download text_encoder/pytorch_model.bin from BAAI/AltDiffusion: direct link, hf CLI and curl.
- Browser
- Download file 2.24 GB
-
https://huggingface.co/BAAI/AltDiffusion/resolve/refs%2Fpr%2F4/text_encoder/pytorch_model.bin
- Command line
-
hf download hf://BAAI/AltDiffusion@refs/pr/4/text_encoder/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/BAAI/AltDiffusion/resolve/refs%2Fpr%2F4/text_encoder/pytorch_model.bin
2.24 GB
- Xet hash:
- 9d08c57326ba6109d160bb3658374c589c9e7d4c63b54698b72bc8b50c9f772e
- Size of remote file:
- 2.24 GB
- SHA256:
- 6f7e5b6bef6737f75d01705be1d59295f5c9d84c10b9715a1610160fb646245d
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.