Text-to-3D
Diffusers
Safetensors
English
StableDiffusionLDM3DPipeline
stable-diffusion
stable-diffusion-diffusers
text-to-image
Eval Results (legacy)
Instructions to use Intel/ldm3d with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Intel/ldm3d 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", 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
Download qualitative_results.png from Intel/ldm3d: direct link, hf CLI and curl.
- Browser
- Download file 263 kB
-
https://huggingface.co/Intel/ldm3d/resolve/main/qualitative_results.png
- Command line
-
hf download hf://Intel/ldm3d/qualitative_results.png
-
curl -L -o qualitative_results.png https://huggingface.co/Intel/ldm3d/resolve/main/qualitative_results.png
263 kB
