Text-to-3D
3d
dmitriitochilkin commited on
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add three studio instructions

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  1. README.md +9 -5
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@@ -25,12 +25,16 @@ With improved data rendering and model conditioning strategies, our model demons
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  By using Score Distillation Sampling (SDS) along with the Stable Zero123 model, we can produce high-quality 3D models from any input image. The process can also extend to text-to-3D generation by first generating a single image using SDXL and then using SDS on Stable Zero123 to generate the 3D object.
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- To use Stable Zero123 for object 3D mesh generation in [threestudio](https://github.com/threestudio-project/threestudio), please follow the installation instructions and run
 
 
 
 
 
 
 
 
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  ```
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- python launch.py --config configs/stable_zero123.yaml --train --gpu 0 data.image_path=./load/images/dog1_rgba.png
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- ```
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  ## Model Details
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  By using Score Distillation Sampling (SDS) along with the Stable Zero123 model, we can produce high-quality 3D models from any input image. The process can also extend to text-to-3D generation by first generating a single image using SDXL and then using SDS on Stable Zero123 to generate the 3D object.
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+ To use Stable Zero123 for object 3D mesh generation in [threestudio](https://github.com/threestudio-project/threestudio), you can follow these steps:
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+
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+ 1. Install threestudio using instructions
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+ 2. Take an image of your choice, or generate it from text using your favourite AI image generator such as SDXL Turbo (https://clipdrop.co/stable-diffusion-turbo) E.g. "A simple 3D render of a friendly dog"
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+ 3. Remove its background using Clipdrop (https://clipdrop.co/remove-background)
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+ 4. Save to `load/images/`, preferably with `_rgba.png` as the suffix
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+ 5. Run Zero-1-to-3 with the Stable Zero123 ckpt:
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+ ```sh
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+ python launch.py --config configs/stable-zero123.yaml --train --gpu 0 data.image_path=./load/images/dog1_rgba.png
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  ```
 
 
 
 
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  ## Model Details
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