Text-to-3D
Diffusers
Safetensors
English
StableDiffusionLDM3DPipeline
stable-diffusion
stable-diffusion-diffusers
text-to-image
Eval Results (legacy)
Instructions to use Intel/ldm3d-4c with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Intel/ldm3d-4c 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-4c", 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
3D Visualization based on Generated RGB-D Image
#1
by sammysun0711 - opened
Hi, first of all, thanks for sharing latest 3d image generation tech for open source community. I found result are very impressive!
Could you please kindly share how to visualize result in 3D based on generated RGB-D image?
Hi @sammysun0711
We are working on that :)
We will make a hugging face space public hopefully soon!
Awesome, looking forward to hugging face space for 3d visualization!
I forgot to follow on this one
For the HF space : https://huggingface.co/spaces/Intel/ldm3d
Closing this discussion :)
estellea changed discussion status to closed