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
How to build the Image-to-image pipeline?
#4
by philippwulff222 - opened
I would like to try this model for img2img and/or inpainting, but I cannot get it to work with StableDiffusionImg2ImgPipeline or StableDiffusionInpaintPipeline.
I saw that you used the img2img capability in the paper. How can I do it?
Thanks :)
Hi @philippwulff222
You would need to create a new pipeline following the same changes we brought in order to create our pipeline
Best
Estelle