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This project is a collection of Docker-based web user interfaces designed to easily run various state-of-the-art generative AI models locally. It simplifies the deployment of these AI tools by packaging them into ready-to-use containers with accessible front-end controls.

localhost:3000
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🐣 Please follow me for new updates https://x.com/camenduru
🔥 Please join our discord server https://discord.gg/k5BwmmvJJU
🥳 Please become my sponsor https://github.com/sponsors/camenduru

🍞 Tost UI

☁︎ Cloud Service: https://ui.tost.ai

Image
Image

🍞 Local and 🍇 RunPod Templates

Local Pod Serverless Info
local TostUI - Song Generation (base-new)
local TostUI - Flux.2 [dev] (8bit)
local pod TostUI - Qwen Image Edit 2511 (8bit)
local TostUI - GenFocus DeblurNet (8bit)
local TostUI - Wan 2.2 First Last Frame (8bit)
local pod TostUI - Trellis 2
local TostUI - Tost Synth v1.0 (4K)
local TostUI - SeedVR2
local TostUI - Z-Image-Turbo With LoRA
local TostUI - Z-Image-Turbo (4bit)
local pod serverless TostUI - Qwen Image Edit 2509 with LoRAs (8bit)
local pod serverless TostUI - Z-Image-Turbo with Upscaler (8bit)
local pod serverless TostUI - Wan 2.2 Image to Video (8bit)

All services were tested with an RTX 3090, RTX 4090, and RTX 5090.

🍞 TostUI - Song Generation (base-new)

2026-01-01.22-03-31.mp4

  1. Install Docker
    Download Docker Desktop (Windows AMD64) and run it.

  2. Update the container (optional)

    docker stop tostui-songgeneration; docker rm tostui-songgeneration; docker pull camenduru/tostui-songgeneration

  3. Run the container

    docker run --gpus all -p 3000:3000 --name tostui-songgeneration camenduru/tostui-songgeneration

    Requires NVIDIA GPU (Min 14GB VRAM)

  4. Open app
    Go to: http://localhost:3000

🍞 TostUI - Flux.2 [dev] (8bit)

Screenshot 2025-12-30 184354

  1. Install Docker
    Download Docker Desktop (Windows AMD64) and run it.

  2. Update the container (optional)

    docker stop tostui-flux-2-dev; docker rm tostui-flux-2-dev; docker pull camenduru/tostui-flux-2-dev

  3. Run the container

    docker run --gpus all -p 3000:3000 --name tostui-flux-2-dev camenduru/tostui-flux-2-dev

    Requires NVIDIA GPU (Min 24GB VRAM)

  4. Open app
    Go to: http://localhost:3000

🍞 TostUI - Qwen Image Edit 2511 (8bit)

2025-12-24.10-27-43.1.mp4

  1. Install Docker
    Download Docker Desktop (Windows AMD64) and run it.

  2. Update the container (optional)

    docker stop tostui-qwen-image-edit-2511; docker rm tostui-qwen-image-edit-2511; docker pull camenduru/tostui-qwen-image-edit-2511

  3. Run the container

    docker run --gpus all -p 3000:3000 --name tostui-qwen-image-edit-2511 camenduru/tostui-qwen-image-edit-2511

    Requires NVIDIA GPU (Min 24GB VRAM)

  4. Open app
    Go to: http://localhost:3000

🍞 TostUI - GenFocus DeblurNet (8bit)

Screenshot 2025-12-21 085935

  1. Install Docker
    Download Docker Desktop (Windows AMD64) and run it.

  2. Update the container (optional)

    docker stop tostui-genfocus; docker rm tostui-genfocus; docker pull camenduru/tostui-genfocus

  3. Run the container

    docker run --gpus all -p 3000:3000 --name tostui-genfocus camenduru/tostui-genfocus

    Requires NVIDIA GPU (Min 24GB VRAM)

  4. Open app
    Go to: http://localhost:3000

🍞 TostUI - Wan 2.2 First Last Frame (8bit)

  1. Install Docker
    Download Docker Desktop (Windows AMD64) and run it.

  2. Update the container (optional)

    docker stop tostui-wan2-2-flf-8bit; docker rm tostui-wan2-2-flf-8bit; docker pull camenduru/tostui-wan2-2-flf-8bit

  3. Run the container

    docker run --gpus all -p 3000:3000 --name tostui-wan2-2-flf-8bit camenduru/tostui-wan2-2-flf-8bit

    Requires NVIDIA GPU (Min 24GB VRAM)

  4. Open app
    Go to: http://localhost:3000

🍞 TostUI - Trellis 2

Image

Video: https://x.com/camenduru/status/2001478162996191317

  1. Install Docker
    Download Docker Desktop (Windows AMD64) and run it.

  2. Update the container (optional)

    docker stop tostui-trellis2; docker rm tostui-trellis2; docker pull camenduru/tostui-trellis2

  3. Run the container
    Open Command Prompt / PowerShell and paste:

    docker run --gpus all -p 3000:3000 --name tostui-trellis2 camenduru/tostui-trellis2

    Requires NVIDIA GPU (Min 24GB VRAM)

  4. Open app
    Go to: http://localhost:3000

🍞 TostUI - Tost Synth v1.0 (4K) (Z-Image-Turbo SeedVR2)

  1. Install Docker
    Download Docker Desktop (Windows AMD64) and run it.

  2. Update the container (optional)

    docker stop tostui-z-image-turbo-seedvr2; docker rm tostui-z-image-turbo-seedvr2; docker pull camenduru/tostui-z-image-turbo-seedvr2

  3. Run the container
    Open Command Prompt / PowerShell and paste:

    docker run --gpus all -p 3000:3000 --name tostui-z-image-turbo-seedvr2 camenduru/tostui-z-image-turbo-seedvr2

    Requires NVIDIA GPU (Min 24GB VRAM)

  4. Open app
    Go to: http://localhost:3000

🍞 TostUI - SeedVR2

  1. Install Docker
    Download Docker Desktop (Windows AMD64) and run it.

  2. Update the container (optional)

    docker stop tostui-seedvr2; docker rm tostui-seedvr2; docker pull camenduru/tostui-seedvr2

  3. Run the container
    Open Command Prompt / PowerShell and paste:

    docker run --gpus all -p 3000:3000 --name tostui-seedvr2 camenduru/tostui-seedvr2

    Requires NVIDIA GPU (Min 24GB VRAM)

  4. Open app
    Go to: http://localhost:3000

🍞 TostUI - Z-Image-Turbo With LoRA

  1. Install Docker
    Download Docker Desktop (Windows AMD64) and run it.

  2. Update the container (optional)

    docker stop tostui-z-image-turbo; docker rm tostui-z-image-turbo; docker pull camenduru/tostui-z-image-turbo

  3. Run the container
    Open Command Prompt / PowerShell and paste:

    docker run --gpus all -p 3000:3000 --name tostui-z-image-turbo camenduru/tostui-z-image-turbo

    Requires NVIDIA GPU (Min 24GB VRAM)

  4. Open app
    Go to: http://localhost:3000

🍞 TostUI - Z-Image-Turbo (4bit)

  1. Install Docker
    Download Docker Desktop (Windows AMD64) and run it.

  2. Update the container (optional)

    docker stop tostui-z-image-turbo-4bit; docker rm tostui-z-image-turbo-4bit; docker pull camenduru/tostui-z-image-turbo-4bit

  3. Run the container
    Open Command Prompt / PowerShell and paste:

    docker run --gpus all -p 3000:3000 --name tostui-z-image-turbo-4bit camenduru/tostui-z-image-turbo-4bit

    Requires NVIDIA GPU (Min 6GB VRAM)

  4. Open app
    Go to: http://localhost:3000

🍞 TostUI - Qwen Image Edit 2509 with LoRAs (8bit)

Convert to Anime Convert to Reality T1 Convert to Reality T2 Convert to Chibi
Convert to Ahegao Convert to Color Convert to Kiss Edit With Prompt
Generate With Prompt Enhance Image Quality Next Scene Multiple Angles
Blend Image Relight Image Apply Texture Extract Outfit Face Swap

  1. Install Docker
    Download Docker Desktop (Windows AMD64) and run it.

  2. Update the container (optional)

    docker stop tostui-qwen-image-edit-2509; docker rm tostui-qwen-image-edit-2509; docker pull camenduru/tostui-qwen-image-edit-2509

  3. Run the container

    docker run --gpus all -p 3000:3000 --name tostui-qwen-image-edit-2509 camenduru/tostui-qwen-image-edit-2509

    Requires NVIDIA GPU (Min 24GB VRAM)

  4. Open app
    Go to: http://localhost:3000

🍞 TostUI - Z-Image-Turbo with Upscaler (8bit)

  1. Install Docker
    Download Docker Desktop (Windows AMD64) and run it.

  2. Update the container (optional)

    docker stop tostui-z-image-turbo-8bit; docker rm tostui-z-image-turbo-8bit; docker pull camenduru/tostui-z-image-turbo-8bit

  3. Run the container

    docker run --gpus all -p 3000:3000 --name tostui-z-image-turbo-8bit camenduru/tostui-z-image-turbo-8bit

    Requires NVIDIA GPU (Min 24GB VRAM)

  4. Open app
    Go to: http://localhost:3000

🍞 TostUI - Wan 2.2 Image to Video (8bit)

  1. Install Docker
    Download Docker Desktop (Windows AMD64) and run it.

  2. Update the container (optional)

    docker stop tostui-wan2-2-i2v-8bit; docker rm tostui-wan2-2-i2v-8bit; docker pull camenduru/tostui-wan2-2-i2v-8bit

  3. Run the container

    docker run --gpus all -p 3000:3000 --name tostui-wan2-2-i2v-8bit camenduru/tostui-wan2-2-i2v-8bit

    Requires NVIDIA GPU (Min 24GB VRAM)

  4. Open app
    Go to: http://localhost:3000

About

This project is a collection of Docker-based web user interfaces designed to easily run various state-of-the-art generative AI models locally. It simplifies the deployment of these AI tools by packaging them into ready-to-use containers with accessible front-end controls.

localhost:3000

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