Instructions to use BiliSakura/MiniT2I-diffusers with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use BiliSakura/MiniT2I-diffusers with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("BiliSakura/MiniT2I-diffusers", dtype=torch.bfloat16, device_map="cuda") prompt = "A lonely astronaut standing on a quiet beach under two moons." image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
Download MiniT2I-L-16/text_encoder/tokenizer.json from BiliSakura/MiniT2I-diffusers: direct link, hf CLI and curl.
- Browser
- Download file 2.42 MB
-
https://huggingface.co/BiliSakura/MiniT2I-diffusers/resolve/main/MiniT2I-L-16/text_encoder/tokenizer.json
- Command line
-
hf download hf://BiliSakura/MiniT2I-diffusers/MiniT2I-L-16/text_encoder/tokenizer.json
-
curl -L -o tokenizer.json https://huggingface.co/BiliSakura/MiniT2I-diffusers/resolve/main/MiniT2I-L-16/text_encoder/tokenizer.json
2.42 MB
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