fix phrasing, add discord links to getting started guide
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@ -23,6 +23,9 @@ This guide sets the stage for your onnx-web journey, offering a balance of techn
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empower you in your AI art exploration. Let's embark on this creative venture together, where innovation meets technical
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precision.
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If you have any problems or questions that are not answered here, please [join the Discord
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server](https://discord.gg/7CdQmutGuw) and ask.
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## Contents
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- [Getting Started](#getting-started)
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@ -110,7 +113,7 @@ For more details, please see [the server admin guide](./server-admin.md#containe
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## Running
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Running onnx-web is the gateway to unlocking the creative potential of Stable Diffusion in AI art. Whether you are a
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novice or an experienced enthusiast, this section guides you through the process of installing onnx-web on your system.
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novice or an experienced enthusiast, this section guides you through the process of starting onnx-web on your system.
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### Running the server
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@ -131,12 +134,11 @@ realm of Stable Diffusion without compromise.
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## Tabs
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Understanding onnx-web's Core Features: onnx-web introduces a set of core features that form the backbone of your AI art
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journey. The Stable Diffusion process, capable of running on both AMD and Nvidia GPUs, powers the image generation
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pipeline. Explore the diverse tabs in the web UI, each offering unique functionalities such as text-based image
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generation, upscaling, blending, and model management. Dive into the technical details of prompt syntax, model
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conversions, and the intricacies of parameters, gaining a deeper understanding of how to fine-tune the AI art creation
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process.
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onnx-web includes a set of core features that form the backbone of your AI art journey. The Stable Diffusion process,
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capable of running on both AMD and Nvidia GPUs, powers the image generation pipeline. Explore the diverse tabs in the
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web UI, each offering unique functionalities such as text-based image generation, upscaling, blending, and model
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management. Dive into the technical details of prompt syntax, model conversions, and the intricacies of parameters,
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gaining a deeper understanding of how to fine-tune the AI art creation process.
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### Txt2img Tab
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@ -149,7 +151,7 @@ For more details, please see [the user guide](./user-guide.md#txt2img-tab).
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### Img2img Tab
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For image-based prompts, the img2img tab is the go-to interface within onnx-web. Beyond its fundamental image
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generation capabilities, this tab introduces the ControlNet mode, empowering users with advanced control over the
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generation capabilities, this tab includes the ControlNet mode, empowering users with advanced control over the
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generated images through an innovative feature set.
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For more details, please see [the user guide](./user-guide.md#img2img-tab).
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@ -264,7 +266,7 @@ These parameters are unique to how onnx-web generates images.
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images but also reduces VRAM usage. Notably, it doesn't exert a substantial impact on image quality, making it a
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pragmatic choice for scenarios where resource efficiency is a priority.
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- VAE tile size
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- Parallel to UNet, the VAE (Variational Autoencoder) introduces two additional parameters: VAE tile size and VAE
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- Parallel to UNet, the VAE (Variational Autoencoder) has two additional parameters: VAE tile size and VAE
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overlap. These mirror the UNet tile size and UNet overlap parameters, applying specifically to the VAE when the
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tiled VAE is active. Careful consideration of these parameters ensures effective utilization of onnx-web's
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capabilities while adapting to the unique requirements of your image generation tasks.
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@ -372,7 +374,7 @@ from others, enabling collaborative exploration and knowledge exchange within th
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user-friendly tool, onnx-web strives to enhance the customization and sharing aspects of image generation, providing
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users with a flexible and collaborative experience.
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TODO: link Discord profiles channel
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To find more profiles and share your own, [join the Discord server](https://discord.gg/7CdQmutGuw).
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## Panorama pipeline
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@ -415,14 +417,14 @@ For more details, please see [the user guide](./user-guide.md#reseed-tokens-regi
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## Grid mode
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onnx-web introduces a powerful feature known as Grid Mode, designed to facilitate the efficient generation of multiple
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onnx-web includes a powerful feature known as Grid Mode, designed to facilitate the efficient generation of multiple
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images with consistent parameters. Once enabled, Grid Mode allows users to select a parameter that varies across
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columns and another for rows. Users then provide specific values for each column or row, and the images are generated
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by combining the current parameters with the specified column and row values.
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In Grid Mode, selecting different parameters for columns and rows ensures diverse variations in the generated images.
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It's important to note that the same parameter cannot be chosen for both columns and rows unless the token replacement
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option is activated. Token replacement introduces the keywords column and row within the prompt, allowing users to
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option is activated. Token replacement places the keywords column and row within the prompt, allowing users to
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dynamically insert the column or row values into their prompts before image generation.
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While there isn't a strict limit on the number of values users can provide for each dimension (columns and rows), it's
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@ -446,7 +448,7 @@ facilitating nuanced and controlled variations in image generation.
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## Memory optimizations
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onnx-web introduces optimizations tailored for users with limited memory resources. The system requirements are mostly
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onnx-web includes optimizations tailored for users with limited memory resources. The system requirements are mostly
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based on how much memory you have:
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- minimum requirements
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