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", torch_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: 339 Bytes
340da85 | 1 2 3 4 5 6 7 8 9 10 11 | import sys
from pathlib import Path
from diffusers import DiffusionPipeline
model_dir = Path(__file__).resolve().parent
sys.path.insert(0, str(model_dir))
pipe = DiffusionPipeline.from_pretrained(model_dir, trust_remote_code=True).to("cuda")
images = pipe(prompt="A scenic mountain lake at sunrise.").images
images[0].save("sample.png")
|