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Multi View

@article{wang2023imagedream, title={ImageDream: Image-Prompt Multi-view Diffusion for 3D Generation}, author={Wang, Peng and Shi, Yichun}, journal={arXiv preprint arXiv:2312.02201}, year={2023} }

ArtOtherVersionRevision 3bb7b36BBewertung

Modellquelle

Art
Other
Dateigröße
160 MB–1,75 GB
Version
vRevision 3bb7b36
Aktualisiert
9. Okt. 2026
Downloads
4
Quelle
Hugging Face

Quellenbeschreibung

Citation

@article{wang2023imagedream,
  title={ImageDream: Image-Prompt Multi-view Diffusion for 3D Generation},
  author={Wang, Peng and Shi, Yichun},
  journal={arXiv preprint arXiv:2312.02201},
  year={2023}
}

Misuse, Malicious Use, and Out-of-Scope Use

The model should not be used to intentionally create or disseminate images that create hostile or alienating environments for people. This includes generating images that people would foreseeably find disturbing, distressing, or offensive; or content that propagates historical or current stereotypes.

Quellen

1 Quelle
Hugging FacePrimärVersion 3bb7b36d1276048a41a381fe7e92536de4472e3b
huggingface.co/Abdualkader/Multi-View/tree/3bb7b36d1276048a41a381fe7e92536de4472e3b

Verifiziert 25. Aug.

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Modellartefakte

4 Artefakte

image_encoder/model.safetensors

safetensors · 1,17 GB · SHA-256 2a56cfd4ffcf…03c4 · Hugging Face

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text_encoder/model.safetensors

safetensors · 649 MB · SHA-256 bc1827c46545…e13f · Hugging Face

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unet/diffusion_pytorch_model.safetensors

safetensors · 1,75 GB · SHA-256 28d8b241a541…38e0 · Hugging Face

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vae/diffusion_pytorch_model.safetensors

safetensors · 160 MB · SHA-256 3e4c08995484…af9a · Hugging Face

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Quellenauszüge

2 Auszüge

--- license: openrail pipeline_tag: image-to-3d --- ## Citation ``` @article{wang2023imagedream, title={ImageDream: Image-Prompt Multi-view Diffusion for 3D Generation}, author={Wang, Peng and Shi, Yichun}, journal={arXiv preprint arXiv:2312.02201}, year={2023} } ``` ## Misuse, Malicious Use, and Out-of-Scope Use The model should not be used to intentionally create or disseminate images that create hostile or alienating environments for people. This includes generating images that people would foreseeably find disturbing, distressing, or offensive; or content that propagates historical or current stereotypes.

Source context: 4 downloads · 1 likes · Pipeline image-to-3d · Library diffusers · Repo Abdualkader/Multi-View