Instructions to use dg845/diffusers-ct_bedroom256 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use dg845/diffusers-ct_bedroom256 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-ct_bedroom256", 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:
- 17573fb50756faf3e423a17de89d8a17e65d18103ce3887538fce8a35c6db377
- Size of remote file:
- 2.11 GB
- SHA256:
- 2af87e56ebb515f978031f64422b8fcd6a539420acbc269c57b6a443df823510
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