Early user price.
Price may increase with future updates and examples.

# WHAT IS TEXTURE AI UPSCALER

Texture AI Upscaler is a Blender add-on that adds a bake-oriented AI Upscaler node to the Shader Editor.

Connect an image texture, choose a Real-ESRGAN model, bake the result, and the generated texture is cached and wired back into the material workflow.

# NODE-BASED TEXTURE UPSCALING

Use it when you want to improve low-resolution source textures while staying inside a Blender shader workflow.

The add-on runs locally through Real-ESRGAN-ncnn-vulkan and does not send textures to a cloud service.

# BAKE AND REUSE GENERATED TEXTURES

Generated outputs are cached for repeatable material work.

Use the node actions to bake, update, and reconnect the generated result in the material.

# FEATURES

- Shader Editor node workflow for texture upscaling

- Local Real-ESRGAN-ncnn-vulkan backend

- General and anime/stylized model presets

- Bake and update actions directly on the node

- Cached generated outputs for repeatable material work

- Add-on preferences for backend install folder and cache folder

- Backend download/install button with user confirmation

- Windows x64 focused release package

# WHY BUY TEXTURE AI UPSCALER

- Texture upscaling inside the Blender material workflow

- Local processing through Real-ESRGAN-ncnn-vulkan

- Node-based bake workflow

- Cached generated image outputs

- Useful for material artists working with low-resolution image textures

# HOW TO USE

1. Install and enable the add-on in Blender

2. Open the add-on preferences

3. Install the backend after user confirmation

4. Open the Shader Editor for a material

5. Add Texture > AI Upscaler

6. Connect an image texture color output to the AI Upscaler Color input

7. Select a model and click Bake

# NOTES

This release is Windows x64 focused because it installs the upstream Windows Real-ESRGAN-ncnn-vulkan package.

The marketplace zip contains the add-on code and installer logic. The backend and models are downloaded from the upstream Real-ESRGAN release after user confirmation.

This first release focuses on one node/input at a time. Batch or PBR-set upscaling is not part of the first-release workflow.