Fixed broken links on the readme.md file as well as some typos.

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ZeroCool940711 2022-11-13 19:38:46 -08:00
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## Installation instructions for:
- **[Windows](https://sygil-dev.github.io/sygil-webui/docs/1.windows-installation.html)**
- **[Linux](https://sygil-dev.github.io/sygil-webui/docs/2.linux-installation.html)**
- **[Windows](https://sygil-dev.github.io/sygil-webui/docs/Installation/windows-installation)**
- **[Linux](https://sygil-dev.github.io/sygil-webui/docs/Installation/linux-installation)**
### Want to ask a question or request a feature?
@ -118,7 +118,7 @@ Please see the [Streamlit Documentation](docs/4.streamlit-interface.md) to learn
**Note: the Gradio interface is no longer being actively developed by Sygil.Dev and is only receiving bug fixes.**
Please see the [Gradio Documentation](docs/5.gradio-interface.md) to learn more.
Please see the [Gradio Documentation](https://sygil-dev.github.io/sygil-webui/docs/Gradio/gradio-interface/) to learn more.
## Image Upscalers
@ -146,13 +146,13 @@ Put them into the `sygil-webui/models/realesrgan` directory.
### LSDR
Download **LDSR** [project.yaml](https://heibox.uni-heidelberg.de/f/31a76b13ea27482981b4/?dl=1) and [model last.cpkt](https://heibox.uni-heidelberg.de/f/578df07c8fc04ffbadf3/?dl=1). Rename last.ckpt to model.ckpt and place both under `sygil-webui/models/ldsr/`
Download **LDSR** [project.yaml](https://heibox.uni-heidelberg.de/f/31a76b13ea27482981b4/?dl=1) and [model last.cpkt](https://heibox.uni-heidelberg.de/f/578df07c8fc04ffbadf3/?dl=1). Rename `last.ckpt` to `model.ckpt` and place both under `sygil-webui/models/ldsr/`
### GoBig, and GoLatent *(Currently on the Gradio version Only)*
More powerful upscalers that uses a seperate Latent Diffusion model to more cleanly upscale images.
More powerful upscalers that uses a separate Latent Diffusion model to more cleanly upscale images.
Please see the [Image Enhancers Documentation](docs/6.image_enhancers.md) to learn more.
Please see the [Post-Processing Documentation](https://sygil-dev.github.io/sygil-webui/docs/post-processing) to learn more.
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@ -162,12 +162,12 @@ Please see the [Image Enhancers Documentation](docs/6.image_enhancers.md) to lea
*Stable Diffusion was made possible thanks to a collaboration with [Stability AI](https://stability.ai/) and [Runway](https://runwayml.com/) and builds upon our previous work:*
[**High-Resolution Image Synthesis with Latent Diffusion Models**](https://ommer-lab.com/research/latent-diffusion-models/)<br/>
[**High-Resolution Image Synthesis with Latent Diffusion Models**](https://ommer-lab.com/research/latent-diffusion-models/)
[Robin Rombach](https://github.com/rromb)\*,
[Andreas Blattmann](https://github.com/ablattmann)\*,
[Dominik Lorenz](https://github.com/qp-qp)\,
[Patrick Esser](https://github.com/pesser),
[Björn Ommer](https://hci.iwr.uni-heidelberg.de/Staff/bommer)<br/>
[Björn Ommer](https://hci.iwr.uni-heidelberg.de/Staff/bommer)
**CVPR '22 Oral**
@ -194,7 +194,7 @@ Details on the training procedure and data, as well as the intended use of the m
## Comments
- Our codebase for the diffusion models builds heavily on [OpenAI's ADM codebase](https://github.com/openai/guided-diffusion)
- Our code base for the diffusion models builds heavily on [OpenAI's ADM codebase](https://github.com/openai/guided-diffusion)
and [https://github.com/lucidrains/denoising-diffusion-pytorch](https://github.com/lucidrains/denoising-diffusion-pytorch).
Thanks for open-sourcing!