Instructions to use stale2000/sd-dnditem with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use stale2000/sd-dnditem with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("stale2000/sd-dnditem", 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
- Xet hash:
- 29ac449cbea86bc659fa8a3c5a2e4c294bd232e4cceeba79634002b03a0915d0
- Size of remote file:
- 492 MB
- SHA256:
- 8ceca82ba19711672813dac72a0a4fe29d234a3249f0b00e62b3d0049981ff95
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