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
- Xet hash:
- 188b33b451569bc3d4b4a30310b06428ba050a8fbda03d9372874604deeeeafc
- Size of remote file:
- 3.44 GB
- SHA256:
- 1e9b0a1befc3c9937cef5bbf4d75472148b6f3d76bde2291f2d0b707fa88b67c
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