Instructions to use manycore-research/SpatialGen-1.0 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use manycore-research/SpatialGen-1.0 with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("manycore-research/SpatialGen-1.0", 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
Remove library name (#2)
Browse files- Remove library name (a857f837075d53478f71ad4e7323032cc9e88b0c)
Co-authored-by: Niels Rogge <nielsr@users.noreply.huggingface.co>
README.md
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- manycore-research/SpatialGen-Testset
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license: creativeml-openrail-m
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pipeline_tag: image-to-3d
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library_name: diffusers
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# SpatialGen: Layout-guided 3D Indoor Scene Generation
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- manycore-research/SpatialGen-Testset
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license: creativeml-openrail-m
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pipeline_tag: image-to-3d
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---
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# SpatialGen: Layout-guided 3D Indoor Scene Generation
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