Instructions to use ducnapa/InteriorDesignSuperMixV2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use ducnapa/InteriorDesignSuperMixV2 with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("ducnapa/InteriorDesignSuperMixV2", 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
Download unet/diffusion_pytorch_model.bin from ducnapa/InteriorDesignSuperMixV2: direct link, hf CLI and curl.
- Browser
- Download file 3.44 GB
-
https://huggingface.co/ducnapa/InteriorDesignSuperMixV2/resolve/main/unet/diffusion_pytorch_model.bin
- Command line
-
hf download hf://ducnapa/InteriorDesignSuperMixV2/unet/diffusion_pytorch_model.bin
-
curl -L -o diffusion_pytorch_model.bin https://huggingface.co/ducnapa/InteriorDesignSuperMixV2/resolve/main/unet/diffusion_pytorch_model.bin
3.44 GB
- Xet hash:
- 286f88fbc12377e5ae58db6809340c8e5c07e508875dc5a9a7ec51aa8c8f36b4
- Size of remote file:
- 3.44 GB
- SHA256:
- d51f96a7a0ba1e5fc83ea47854b72384775bac94d8bb17e6f7b96c68e4be8d97
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