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 vae/diffusion_pytorch_model.bin from ducnapa/InteriorDesignSuperMixV2: direct link, hf CLI and curl.
- Browser
- Download file 335 MB
-
https://huggingface.co/ducnapa/InteriorDesignSuperMixV2/resolve/main/vae/diffusion_pytorch_model.bin
- Command line
-
hf download hf://ducnapa/InteriorDesignSuperMixV2/vae/diffusion_pytorch_model.bin
-
curl -L -o diffusion_pytorch_model.bin https://huggingface.co/ducnapa/InteriorDesignSuperMixV2/resolve/main/vae/diffusion_pytorch_model.bin
335 MB
- Xet hash:
- c89e26552607fdba8eb7ea6716abc1c0b1e1d49435b241732054709913695464
- Size of remote file:
- 335 MB
- SHA256:
- d5eb70c84b4a9cffc3c46f9afbceef3a7b7eafeccd5531e7af2447405078e007
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