Instructions to use dg845/diffusers-cd_bedroom256_l2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use dg845/diffusers-cd_bedroom256_l2 with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("dg845/diffusers-cd_bedroom256_l2", 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:
- b3f57bce5c8dd3f61563fabf6a03db01f78b3f7c4087587ff4f0f97e39b162cf
- Size of remote file:
- 2.11 GB
- SHA256:
- 371676dd8e30d27b85bd2a630d4c2022fc13b50b77eb41a456ab645cbe61b413
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