Instructions to use BiliSakura/DDIB-ckpt with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use BiliSakura/DDIB-ckpt 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/DDIB-ckpt", 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
- Xet hash:
- 4c06b997eb3a6706b249169a4324a725d307f4bf7fb39273450b4833259a4420
- Size of remote file:
- 2.21 GB
- SHA256:
- f83d5de3972f94d976b31b04f49575118159b58f4fc95d8a454f6cdba56e62e2
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