2 projects for "stable diffusion forge" with 2 filters applied:

  • Retool your internal operations Icon
    Retool your internal operations

    Generate secure, production-grade apps that connect to your business data. Not just prototypes, but tools your team can actually deploy.

    Build internal software that meets enterprise security standards without waiting on engineering resources. Retool connects to your databases, APIs, and data sources while maintaining the permissions and controls you need. Create custom dashboards, admin tools, and workflows from natural language prompts—all deployed in your cloud with security baked in. Stop duct-taping operations together, start building in Retool.
    Build an app in Retool
  • Atera all-in-one platform IT management software with AI agents Icon
    Atera all-in-one platform IT management software with AI agents

    Ideal for internal IT departments or managed service providers (MSPs)

    Atera’s AI agents don’t just assist, they act. From detection to resolution, they handle incidents and requests instantly, taking your IT management from automated to autonomous.
    Learn More
  • 1
    Pixelization

    Pixelization

    Stable-diffusion-webui-pixelization

    This is a specialized extension for the popular Stable Diffusion Web UI (AUTOMATIC1111) that focuses on converting or “pixelizing” images into a pixel-art aesthetic. It's designed as a plugin you install into the Web UI so that in the “Extras” or “Pixelization” tab you can drag in an input image and produce a stylized, block-based version with control over cell size, color depth, and segmentation.
    Downloads: 0 This Week
    Last Update:
    See Project
  • 2
    Stable Diffusion Web UI

    Stable Diffusion Web UI

    Feature showcase for stable-diffusion-webui

    This repository curates a living gallery of examples that demonstrate what the Stable Diffusion Web UI and its ecosystem can do. It documents practical recipes that pair prompts with parameters, samplers, upscalers, and extensions so others can reproduce results reliably. The focus is on education by example: side-by-side comparisons reveal how settings like CFG scale, denoising strength, schedulers, or ControlNet inputs change an image.
    Downloads: 0 This Week
    Last Update:
    See Project
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