Text-to-3D
Diffusers
Safetensors
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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
Pipeline is not working.
#3
by seungjae2 - opened
The code worked as it was in the instructions, but the pre-trained model could not be imported.
Please tell me how to use it
Hi @seungjae2 !
There has been a refactoring in diffusers that did not apply to the SR model
I opened a bug: https://github.com/huggingface/diffusers/issues/7418
The PR was merged. Its not yet in the new version of diffusers but if you install from source its working :)
estellea changed discussion status to closed