Instructions to use BiliSakura/BitDance-Tokenizer-diffusers with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use BiliSakura/BitDance-Tokenizer-diffusers with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline from diffusers.utils import load_image # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("BiliSakura/BitDance-Tokenizer-diffusers", dtype=torch.bfloat16, device_map="cuda") prompt = "Turn this cat into a dog" input_image = load_image("https://huggingface.co/datasets/huggingface/documentation-images/resolve/main/diffusers/cat.png") image = pipe(image=input_image, prompt=prompt).images[0] - Notebooks
- Google Colab
- Kaggle
| { | |
| "_class_name": "BitDanceAutoencoder", | |
| "_diffusers_version": "0.36.0", | |
| "ddconfig": { | |
| "ch": 128, | |
| "ch_mult": [ | |
| 1, | |
| 1, | |
| 2, | |
| 2, | |
| 4, | |
| 8 | |
| ], | |
| "double_z": false, | |
| "in_channels": 3, | |
| "num_res_blocks": 4, | |
| "out_ch": 3, | |
| "z_channels": 256 | |
| }, | |
| "gan_decoder": true | |
| } | |