vargai

Turn a photo or a character into an animated sticker pack with GPT Image 2.6 on varg: one approved chibi or mascot still, 6-8 emotions with one short word each, one looping GIF per emotion, then exported and checked against each messenger's animated-sticker spec (Telegram video stickers, WhatsApp animated WebP, LINE APNG, WeChat GIF, Discord, Slack) by scripts/export.sh. The specs were checked on the official docs on 2026-11-05 and are cited with links. Use when someone asks for a sticker pack, animated stickers, emoji or 表情包 from their photo, pet or mascot, LINE stamps, WeChat stickers, Telegram or WhatsApp stickers, or wants to sell or share a sticker set. Not for one GIF without a pack (gpt-image-gif), game sprites (gpt-image-sprite-sheet) or static images (gpt-image-2-6).

Make 2D game sprite sheets with GPT Image 2.6 on varg and turn them into game-ready files: a strict 4×4 sheet spec (16 frames, equal cells, fixed scale and ground line; credited to @SSSS_CRYPTOMAN, translated from Japanese), then scripts/slice.sh cuts the sheet into frames, keys out the background, puts every frame on one ground line, and writes a looping GIF, a clean atlas PNG and a JSON atlas (TexturePacker JSON Hash) for Phaser, with the Godot steps. Also covers the native GIF route and turning its frames into an atlas. Use when someone asks for a sprite sheet, a run, walk, idle or attack cycle, game character animation frames, a texture atlas, or Phaser or Godot sprites from an AI image. Not for chat stickers (gpt-image-sticker-pack), a single looping GIF for the web (gpt-image-gif) or pixel-art sprites (the model fails at pixel art).

Markup-guided image edits with GPT Image 2.6 on varg: draw circles, boxes, arrows and short notes on a transparent PNG the same size as the source (scripts/markup.py turns a JSON list of shapes into that PNG, a preview and the prompt lines), upload it, then edit with provider_options.fal.markup_image_url and a prompt written per colour ("Red circle: … Blue circle: … Change nothing outside the marks."). Includes the measured example (two changes, the rest of the frame kept), how to check what changed, and when to use a black-and-white mask_url instead. Use when someone wants to change one or several specific spots in an image, says "circle it", "only change this part", "fix this word", "add a hat here", or an edit keeps changing things it should not. Not for whole-image restyles (gpt-image-2-6 recipes), animation (gpt-image-gif) or video edits (varg-ai).

Guide to OpenAI's GPT Image 2.6 on varg (gpt_image_2_6) and the entry point to the GPT Image 2.6 skill set: Flare vs Sunburst, quality vs reasoning_effort, sizes and aspect presets, what fal rejects (xhigh and max effort, SVG, over 16 GIF frames), measured prices, failure modes, the exact varg MCP and REST calls, and prompt recipes for the text-heavy layouts people shared on X: infographic, product launch poster, photo to editorial travel print, photo to Baroque gallery poster, landmark postcard, character turnaround sheet, storyboard sheet and low-res to clean upscale, each credited to its author. Use when someone asks for GPT Image 2.6, gpt-image-2.6, Flare or Sunburst, wants an infographic, poster, art print, character sheet or storyboard with readable text, or asks how to prompt, size or price this model. Not for looping GIFs (gpt-image-gif), sticker packs (gpt-image-sticker-pack), game sprite sheets (gpt-image-sprite-sheet), circle-and-arrow edits (gpt-image-markup-edit) or video (varg-ai).