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
File size: 367 Bytes
5cd27a3 | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 | {
"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
}
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