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 model_index.json from Intel/ldm3d-sr: direct link, hf CLI and curl.
- Browser
- Download file 491 Bytes
-
https://huggingface.co/Intel/ldm3d-sr/resolve/main/model_index.json
- Command line
-
hf download hf://Intel/ldm3d-sr/model_index.json
-
curl -L -o model_index.json https://huggingface.co/Intel/ldm3d-sr/resolve/main/model_index.json
491 Bytes
| { | |
| "_class_name": "StableDiffusionUpscaleLDM3DPipeline", | |
| "_diffusers_version": "0.9.0.dev0", | |
| "low_res_scheduler": [ | |
| "diffusers", | |
| "DDPMScheduler" | |
| ], | |
| "max_noise_level": 350, | |
| "scheduler": [ | |
| "diffusers", | |
| "DDIMScheduler" | |
| ], | |
| "text_encoder": [ | |
| "transformers", | |
| "CLIPTextModel" | |
| ], | |
| "tokenizer": [ | |
| "transformers", | |
| "CLIPTokenizer" | |
| ], | |
| "unet": [ | |
| "diffusers", | |
| "UNet2DConditionModel" | |
| ], | |
| "vae": [ | |
| "diffusers", | |
| "AutoencoderKL" | |
| ] | |
| } | |