Instructions to use xiaohui2022/DB_SD_cat_converted with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use xiaohui2022/DB_SD_cat_converted with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("xiaohui2022/DB_SD_cat_converted", 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
- Xet hash:
- 9e871c8fba0b2d7f0890115633e8c0825ac9bd9ccbcc280e56a6f002a2e92a92
- Size of remote file:
- 3.44 GB
- SHA256:
- 541048a28d7c089855cdbd2911dac495d119214f404310e7862d2343df4187d2
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