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
Update README.md
Browse files
README.md
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@@ -34,3 +34,14 @@ upscaled_rgb, upscaled_depth =outputs.rgb[0], outputs.depth[0]
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upscaled_rgb.save(f"upscaled_lemons_rgb.png")
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upscaled_depth.save(f"upscaled_lemons_depth.png")
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```
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upscaled_rgb.save(f"upscaled_lemons_rgb.png")
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upscaled_depth.save(f"upscaled_lemons_depth.png")
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```
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## Results
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Output of ldm3d-4c | Upscaled output
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:-------------------------:|:-------------------------:
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