Text-to-3D
Diffusers
Safetensors
English
StableDiffusionLDM3DPipeline
stable-diffusion
stable-diffusion-diffusers
text-to-image
text-to-panoramic
Eval Results (legacy)
Instructions to use Intel/ldm3d-pano with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Intel/ldm3d-pano with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("Intel/ldm3d-pano", 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
Update README.md
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README.md
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@@ -16,7 +16,7 @@ The LDM3D model was proposed in ["LDM3D: Latent Diffusion Model for 3D"](https:/
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LDM3D got accepted to [CVPRW'23]([https://aaai.org/Conferences/AAAI-23/](https://cvpr2023.thecvf.com/)).
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This checkpoint has been finetuned on panoramic images (see how we finetuned below)
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A demo using this checkpoint has been open-sourced in [this space](https://huggingface.co/spaces/Intel/ldm3d)
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## Model description
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LDM3D got accepted to [CVPRW'23]([https://aaai.org/Conferences/AAAI-23/](https://cvpr2023.thecvf.com/)).
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This checkpoint has been finetuned on panoramic images (see how we finetuned below).
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A demo using this checkpoint has been open-sourced in [this space](https://huggingface.co/spaces/Intel/ldm3d)
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## Model description
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