Skip to main content
Ryan Orban

Ryan Orban

Subject
7 entries

Ai Art

Bookmarks

  1. Artificial Images: Derrick Schultz's Generative AI Practice

    Artificial Images is Derrick Schultz's practice combining generative AI art with ML education — workshops on diffusion models, ComfyUI, and computational filmmaking for artists and designers. A sustained bridge between the ML research community and working artists.

  2. 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.

  3. The DALL-E 2 Prompt Book

    Unofficial visual reference guide by Guy Parsons (dallery.gallery) covering how to prompt DALL-E 2 across photography, illustration styles, art history movements, 3D artwork, and editing techniques. A practical taxonomy of the prompt space for the first widely-accessible diffusion image model.

  4. Botto: AI Artist with a Million-Dollar Track Record

    Botto is an AI artist by Mario Klingemann that generates 350 artworks weekly, has a community of token holders vote on favorites, and mints one NFT per week — earning $1M in its first five weeks. A real implementation of human-AI collaborative taste formation.

  5. multimodal.art

    multimodal.art is a gallery and community for AI-generated art from multimodal models — DALL-E, CLIP-guided diffusion, and related text-to-image systems. Captured the early 2022 moment before Stable Diffusion democratized AI image generation.

  6. Ian Cheng Interview: A Portal to Infinity

    Ian Cheng in conversation about his lifeform simulations and art practice — infinite open-ended worlds that evolve without predetermined outcomes. Cheng is one of the few artists working seriously with simulation and emergence as a medium.

  7. Alien Dreams: CLIP-Guided Image Generation

    UC Berkeley ML blog's 2021 post on using CLIP for guided image generation — an early exploration of the CLIP+VQGAN/diffusion pipeline that preceded Stable Diffusion. Historically significant as a snapshot of generative AI before it became mainstream.

All bookmarks