Instructions to use BiliSakura/BitDance-14B-64x-diffusers with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use BiliSakura/BitDance-14B-64x-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/BitDance-14B-64x-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
- Local Apps Settings
- Draw Things
- DiffusionBee
| { | |
| "P_mean": 0.0, | |
| "P_std": 1.0, | |
| "_class_name": "BitDanceDiffusionHead", | |
| "_diffusers_version": "0.36.0", | |
| "ch_cond": 5120, | |
| "ch_latent": 5120, | |
| "ch_target": 32, | |
| "depth_adanln": 2, | |
| "depth_latent": 6, | |
| "diff_batch_mul": 1, | |
| "grad_checkpointing": false, | |
| "parallel_num": 64, | |
| "time_schedule": "logit_normal", | |
| "time_shift": 1.0, | |
| "use_swiglu": true | |
| } | |