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-B-16/text_encoder/generation_config.json from BiliSakura/MiniT2I-diffusers: direct link, hf CLI and curl.
- Browser
- Download file 147 Bytes
-
https://huggingface.co/BiliSakura/MiniT2I-diffusers/resolve/main/MiniT2I-B-16/text_encoder/generation_config.json
- Command line
-
hf download hf://BiliSakura/MiniT2I-diffusers/MiniT2I-B-16/text_encoder/generation_config.json
-
curl -L -o generation_config.json https://huggingface.co/BiliSakura/MiniT2I-diffusers/resolve/main/MiniT2I-B-16/text_encoder/generation_config.json
147 Bytes
| { | |
| "_from_model_config": true, | |
| "decoder_start_token_id": 0, | |
| "eos_token_id": 1, | |
| "pad_token_id": 0, | |
| "transformers_version": "4.27.0.dev0" | |
| } | |