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johnnyphp/mockofun-sd-turbo

By johnnyphp

•Updated over 2 years ago

# mockofun-sd-turbo SD-Tubo model for [MockoFun](https://www.mockofun.com/)

Image
API management
Machine learning & AI
Developer tools
0

870

johnnyphp/mockofun-sd-turbo repository overview

⁠mockofun-sd-turbo

⁠SD-Tubo model for MockoFun⁠

This is not the model used in the MockoFun AI Image Generator from Text⁠, but rather a sandbox for quick image generation with this Stable Diffusion model. This is probably one of the fastest text to image Stable Diffusion models, generating images of 512x512px as fast as 700ms on an A40 GPU.

⁠Introducing mockofun-sd-turbo: Unleash the Power of Stable Diffusion Turbo in Runpod

Fuel your creativity with mockofun-sd-turbo, a Docker image built specifically for the Runpod: https://runpod.io/⁠ serverless platform. This image harnesses the powerful image generation capabilities of Stable Diffusion Turbo, allowing you to effortlessly create stunning visuals directly from text descriptions.

⁠Key Features:

  • Seamless Runpod Integration: Leverages the familiar Runpod workflow, requiring only a single input parameter – your desired "prompt". Ideal for developers and designers accustomed to the Runpod environment.
  • Stable Diffusion Turbo at Your Fingertips: Tap into the cutting-edge Stable Diffusion Turbo model, renowned for its speed and efficiency in generating high-quality images.
  • Effortless Workflow: No complex configurations or dependencies needed. Simply deploy the image in Runpod, provide your prompt, and watch your vision come to life.

⁠Deploy this as a serverless endpoint on Runpod

You can refer to this walkthrough to deploy your own custom Docker image.

  1. Login to the RunPod Serverless console⁠.
  2. Select + New Endpoint.
  3. Provide the following:
    1. Endpoint name.
    2. Select a GPU.
    3. Configure the number of workers.
    4. (optional) Select FlashBoot.
    5. (optional) Select a template.
    6. Enter the name of your Docker image: johnnyphp/mockofun-sd-turbo
    7. Specify enough memory for your Docker image.
  4. Select Deploy.

⁠Why Choose mockofun-sd-turbo?

While similar to traditional Stable Diffusion outputs, images generated with mockofun-sd-turbo often exhibit a distinct character, reminiscent of the high-quality results produced by MockoFun, the leading graphic design application from https://www.mockofun.com⁠

⁠Use Cases:

  • Rapid Prototyping: Generate concept art, illustrations, and design mockups in a flash, accelerating your creative process.
  • Content Creation: Produce unique visuals for social media, marketing materials, or personal projects.
  • Experimentation and Exploration: Explore the vast potential of text-to-image generation and discover unexpected creative avenues.
  • Use in Production: You can easily deploy this and use in production for creating web applications that generate images from text with AI

⁠Other AI features of MockoFun include:

Tag summary

Content type

Image

Digest

sha256:b52332404…

Size

14.1 GB

Last updated

over 2 years ago

docker pull johnnyphp/mockofun-sd-turbo