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Ryan Orban

Ryan Orban

Subject
22 entries

Stable Diffusion

Bookmarks

  1. EditAnything: Segment Anything + Stable Diffusion for Image Editing

    EditAnything combines Meta's Segment Anything Model with Stable Diffusion to enable precise region-based image editing — click to select any object, then replace or transform it with a text prompt. One of the first practical applications of SAM.

  2. ControlNet: Precise Spatial Control for Diffusion Models

    ControlNet adds fine-grained spatial control to Stable Diffusion — use edge maps, depth maps, pose skeletons, or sketches to precisely direct where objects and structures appear in generated images. A major step beyond text-only prompting for image generation.

  3. Gauss: Native macOS Stable Diffusion App

    Gauss is a native macOS app for running Stable Diffusion locally — built by Jake Teton-Landis using Swift/SwiftUI and Apple's Core ML stack to run image generation on Apple Silicon without Python. One of the early native Mac SD apps before AUTOMATIC1111 and ComfyUI dominated.

  4. Prompt Parrot — Replicate

    Prompt Parrot is a Replicate-hosted model that generates creative variations of text-to-image prompts. A simple tool for exploring the prompt space around a seed idea when using Stable Diffusion or similar generators.

  5. fast.ai: From Deep Learning Foundations to Stable Diffusion

    fast.ai's Part 2 2022 course preview — the first two lessons of their deep learning foundations to Stable Diffusion curriculum, taught bottom-up from first principles. Jeremy Howard teaching diffusion models the way fast.ai teaches everything: by building it yourself.

  6. Stable Diffusion Parameters Guide

    A practical overview of the key parameters for controlling AI image generation in Stable Diffusion — steps, CFG scale, sampler, seed, and dimensions. A useful reference from the early days when these knobs were being collectively figured out.

  7. The Illustrated Stable Diffusion

    Jay Alammar's visual explainer of how Stable Diffusion works under the hood — covering latent diffusion, the CLIP text encoder, and the U-Net denoiser. Alammar's illustrated series is one of the best entry points for building intuition about complex ML architectures.

  8. MagicPrompt-Stable-Diffusion

    MagicPrompt-Stable-Diffusion is a GPT-2-based model fine-tuned to generate effective prompts for Stable Diffusion. It solves the prompt engineering problem for image generation: given a simple idea, it produces elaborate prompt text that reliably produces better images.

  9. AI Generative Art Tools (Pharmapsychotic)

    Pharmapsychotic's comprehensive catalog of AI generative art tools — covering text-to-image, image editing, upscaling, and animation tools available as of late 2022. One of the most widely-shared resource lists during the early Stable Diffusion era.

  10. Online Art Communities Begin Banning AI-Generated Images

    Andy Baio's September 2022 report documenting the wave of art platform bans on AI-generated images — ArtStation, DeviantArt, Newgrounds, and others responding to artist backlash over Stable Diffusion. The first major cultural reckoning over what generative image models meant for creative communities.

  11. ONNX Stable Diffusion Exporter for Hugging Face Diffusers

    The pull request adding ONNX export and an ONNX inference pipeline to Hugging Face Diffusers — enabling Stable Diffusion to run via ONNX Runtime on hardware accelerators beyond CUDA, including DirectML for Windows GPUs and optimized CPU inference.

  12. CLIP Interrogator

    CLIP Interrogator by pharmapsychotic is a Google Colab tool that reverse-engineers what prompt would produce a given image — using CLIP to describe an image in terms that Stable Diffusion understands. The go-to tool in 2022 for figuring out how to replicate an image style.

  13. Krea.ai: AI Prompt Explorer and Gallery

    Krea.ai is a prompt exploration and gallery tool for Stable Diffusion — browse millions of AI-generated images with their prompts, and use those prompts as starting points for your own generations. The community discovery layer that was missing from Stable Diffusion's launch.

  14. Textual Inversion for Stable Diffusion

    A patch enabling textual inversion in Stable Diffusion — the technique of learning a new text token that represents a custom concept (a person, style, or object) from just 3-5 example images. Textual inversion was the first practical method for personalizing Stable Diffusion without full fine-tuning.

  15. OpenArt: AI Image Discovery and Prompt Library

    OpenArt is a community gallery and prompt discovery platform for AI-generated images, showing each image alongside the prompt that created it. Launched during DALL-E 2's invite-only period, it became an early resource for learning what prompts produce what visual results.

  16. Lexica: Stable Diffusion Search Engine

    Lexica is a search engine for Stable Diffusion images and the prompts that generated them. It became the go-to reference for empirical prompt knowledge — what prompts produce what visual aesthetics — and later added its own image generation feature.

  17. DALL-E 2 vs. Midjourney vs. Stable Diffusion Comparison

    A viral August 2022 Twitter mega-thread comparing DALL-E 2, Midjourney, and Stable Diffusion across photography, illustration, and abstract styles. Captures the precise moment all three image synthesis tools were accessible simultaneously — each with a distinctive aesthetic 'sound.'

  18. Banana Serverless Template: Stable Diffusion

    Banana.dev's serverless template for deploying Stable Diffusion as an API — package the model, push to Banana, get an API endpoint. One of the first practical paths to serving Stable Diffusion at scale without managing GPU infrastructure.

  19. Gene Kogan's Stable Diffusion Collage Tool (WIP)

    Gene Kogan's WIP collage tool built on Stable Diffusion — a hybrid workflow where human collage composition meets AI generation. Kogan is a prominent artist-researcher at the machine learning × creative practice intersection, and this was shared days after SD's open release.

  20. Stable Diffusion: CompVis Open-Source Release

    The CompVis open-source release of Stable Diffusion — the text-to-image model that democratized AI image generation. This marked the moment state-of-the-art image synthesis left the walled gardens of DALL-E 2 and Midjourney and became freely runnable on consumer hardware.

  21. Stable Diffusion Initial Release Announcement

    The announcement tweet for Stable Diffusion's initial model checkpoint release in August 2022 — weights available for research upon request, with a more permissive release and inpainting coming. Captures the moment the open-source AI image generation era began.

  22. Running Your Own AI Image Generator with Latent Diffusion

    A practical guide to running latent diffusion image generation locally — no credits, no limits, full control. Requires a Linux system, CUDA GPU (tested on RTX 3090), and 32GB RAM. From August 2022, right before Stable Diffusion made this accessible to everyone.

All bookmarks