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
Commit History
-
Upload pytorch_model.bin
155fd2b -
Upload 2 files
e4bf179 -
Upload pytorch_model.bin
2ca3af9 -
Upload model.safetensors
6fb02ce -
Upload config.json
fa50784 -
Upload scheduler_config.json
6f6b0c4 -
Upload 4 files
4514b67 -
Upload preprocessor_config.json
e9f9fdd -
Create README.md
09dea80 -
initial commit
0e7ec0d