Instructions to use OzzyGT/YuE2-3B-Diffusers with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use OzzyGT/YuE2-3B-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("OzzyGT/YuE2-3B-Diffusers", 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
Download tokenizer/tokenizer_config.json from OzzyGT/YuE2-3B-Diffusers: direct link, hf CLI and curl.
- Browser
- Download file 182 Bytes
-
https://huggingface.co/OzzyGT/YuE2-3B-Diffusers/resolve/main/tokenizer/tokenizer_config.json
- Command line
-
hf download hf://OzzyGT/YuE2-3B-Diffusers/tokenizer/tokenizer_config.json
-
curl -L -o tokenizer_config.json https://huggingface.co/OzzyGT/YuE2-3B-Diffusers/resolve/main/tokenizer/tokenizer_config.json
182 Bytes
| { | |
| "added_tokens_decoder": {}, | |
| "backend": "custom", | |
| "expected_vocab_size": 151643, | |
| "model_max_length": 1000000000000000019884624838656, | |
| "tokenizer_class": "YuE2Tokenizer" | |
| } | |