Text-to-3D
Diffusers
Safetensors
English
StableDiffusionUpscaleLDM3DPipeline
stable-diffusion
stable-diffusion-diffusers
text-to-image
Eval Results (legacy)
Instructions to use Intel/ldm3d-sr with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Intel/ldm3d-sr 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-sr", 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 vae/diffusion_pytorch_model.bin from Intel/ldm3d-sr: direct link, hf CLI and curl.
- Browser
- Download file 335 MB
-
https://huggingface.co/Intel/ldm3d-sr/resolve/247488252e5469980875047ba91a58db266df5d5/vae/diffusion_pytorch_model.bin
- Command line
-
hf download hf://Intel/ldm3d-sr@247488252e5469980875047ba91a58db266df5d5/vae/diffusion_pytorch_model.bin
-
curl -L -o diffusion_pytorch_model.bin https://huggingface.co/Intel/ldm3d-sr/resolve/247488252e5469980875047ba91a58db266df5d5/vae/diffusion_pytorch_model.bin
335 MB
- Xet hash:
- caa56d4b727b79010bd29153709eeb5e558e90bbd4e37064b6e23101f26ea145
- Size of remote file:
- 335 MB
- SHA256:
- 3edfa7b2b511342b1646adc02fc9a377067399f19b924e4ae4eb405f0914f489
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