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115 lines
5.4 KiB
Markdown
115 lines
5.4 KiB
Markdown
---
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title: Streamlit Web UI Interface
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---
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<!--
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This file is part of stable-diffusion-webui (https://github.com/sd-webui/stable-diffusion-webui/).
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Copyright 2022 sd-webui team.
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This program is free software: you can redistribute it and/or modify
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it under the terms of the GNU Affero General Public License as published by
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the Free Software Foundation, either version 3 of the License, or
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(at your option) any later version.
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This program is distributed in the hope that it will be useful,
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but WITHOUT ANY WARRANTY; without even the implied warranty of
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MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the
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GNU Affero General Public License for more details.
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You should have received a copy of the GNU Affero General Public License
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along with this program. If not, see <http://www.gnu.org/licenses/>.
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-->
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**Features:**
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- Clean UI with an easy to use design, with support for widescreen displays.
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- Dynamic live preview of your generations
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- Easily customizable presets right from the WebUI (Coming Soon!)
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- An integrated gallery to show the generations for a prompt or session (Coming soon!)
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- Better optimization VRAM usage optimization, less errors for bigger generations.
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- Text2Video - Generate video clips from text prompts right from the WEb UI (WIP)
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- Concepts Library - Run custom embeddings others have made via textual inversion.
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- Actively being developed with new features being added and planned - Stay Tuned!
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- Streamlit is now the new primary UI for the project moving forward.
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- *Currently in active development and still missing some of the features present in the Gradio Interface.*
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### Launching The Streamlit Web UI
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To launch the Streamlit Web UI, you will need to do the following:
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- Windows:
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- Open your command line in the repo folder and run the `webui_streamlit.cmd` file.
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- Linux:
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- Open your terminal to the repo folder and run `webui.sh`, then press `1` when prompted.
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- Manually:
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- Open your terminal to the repo folder.
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- Activate the conda environment using `conda activate ldm`
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- Run the command `python -m streamlit run scripts/webui_streamlit.py`
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Once the Streamlit Web UI launches, a new browser tab will open with the interface. A link will also appear in your terminal to allow you to copy and paste it as needed.
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## Text2Image
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---
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Streamlit Text2Image allows for a modern, but well known, Stable Diffusion Textual Image generation experience. Here is a quick description of some of the features of Text2Image and what they do:
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- Width and Height: Control the size of the generated image (Default is 512px)
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- Classifer Free Guidance (CFG): How closely the final image should follow your prompt (Default is 7.5)
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- Seed: The number (or word) used to generate an image with
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- Images Per Batch: The number of images to generate consecutively (Does not affect VRAM)
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- Number of Batches: How many images to generate at once (Very VRAM Intensive)
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- Sampling Steps: The quality of the final output, higher is better with dimiishing returns (Default is 30)
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- Sampling Method: Which sampler to use to generate the image (Default is `k_euler`)
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## Image2Image
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--
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Streamlit Image2Image allows for you to take an image, be it generated by Stable Diffusion or otherwise, and use it as a base for another geenration. This has the potential to really enhance images and fix issues with initial Text2Image generations. It also includes some built-in drawing and masking tools to help create custom generations. Some notable features of Gradio Image2Image are:
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- Image Editor Mode: Choose whether you wish to mask, crop, or uncrop the image
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- Mask Mode: Alloows you to decide if a drawn mask should be generated or kept
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- Denoising Strength: How much of the generated image should replace the original image. (default is 75%)
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- Width and Height: Control the size of the generated image (Default is 512px)
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- Classifer Free Guidance (CFG): How closely the final image should follow your prompt (Default is 7.5)
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- Seed: The number (or word) used to generate an image with
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- Images Per Batch: The number of images to generate consecutively (Does not affect VRAM)
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- Number of Batches: How many images to generate at once (Very VRAM Intensive)
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- Sampling Steps: The quality of the final output, higher is better with dimiishing returns (Default is 30)
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- Sampling Method: Which sampler to use to generate the image (Default is `k_euler`)
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## Text2Video
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---
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*Insert details of how to use T2V here*
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(ZeroCool neds to fill in details here of how Text2Video works)
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## SD Concepts Library
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---
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The Concept Library allows for the easy usage of custom textual inversion models. These models may be loaded into `models/custom/sd-concepts-library` and will appear in the Concepts Library in Streamlit. To use one of these custom models in a prompt, either copy it using the button on the model, or type `<model-name>` in the prompt where you wish to use it.
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Please see the [Concepts Library](https://github.com/sd-webui/stable-diffusion-webui/blob/master/docs/7.concepts-library.md) section to learn more about how to use these tools.
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## Textual Inversion
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---
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TBD
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## Model Manager
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---
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TBD
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## Settings
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---
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*This section of the Web UI is still in development*
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This area allows you to custmoize how you want Streamlit to run. These changes will be saved to `configs/webui/userconfig_streamlit.yaml`.
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