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
- Draw Things
- DiffusionBee
- Xet hash:
- 6662f8d0a1c103df4c208ae8fe8d13b52b3e8d846c43c4cba8b1f500d9a0c242
- Size of remote file:
- 492 MB
- SHA256:
- 240a890cac9c1e6037a38120f98066d0ca5f7f4e4af0f27b361094439c2eae1b
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