Instructions to use imagepipeline/InteriorDesignSupermix with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use imagepipeline/InteriorDesignSupermix with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("imagepipeline/InteriorDesignSupermix", 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:
- e79e089bb7dd6e1494d23b29cc44263eab151a04f6ca2399301658698d9d2b48
- Size of remote file:
- 167 MB
- SHA256:
- b22d6bead98c219a2d3f52b9ad1c070268b1b7305d5597b88b0d4ba09ab048fc
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