Scenario Reve Image
SkillMediaUse when generating or editing images with Reve models on Scenario via MCP: text-to-image from a prompt alone, instruction edits (swap poster text, recolor a product, change materials, relight or restyle a scene), merging references with consistent subjects, blending up to 6 images into one composite, or choosing between Reve v2.1 and Reve Remix. Keywords: Reve v2.1, Reve Remix, Reve AI, txt2img, img2img, frame tags, compositing, style blending, text swap.
Available today. Use it from your connected AI after setup.
No other account needed.
Add ahel to your AI once: Claude, ChatGPT, Cursor, Claude Code or Codex. Then ask it to use this.
Then ask your AI: use the Scenario Reve Image skill
What this skill tells your AI
The instructions your AI receives, as published by scenario-labs/skills in skills/scenario-reve/SKILL.md and read by ahel’s review.
Overview
Reve, Reve AI's image family on Scenario, splits into two members that share a brand and little else: v2.1 is a reasoning-driven generator and instruction editor (a top-2 text-to-image arena entry at authoring time), Remix a fast, cheap compositor that blends several images into one. Discover them with search and treat model_schema_get as the contract: they disagree on field names, prompt caps, and ratio lists.
Connection and the core loop: see the scenario skill in this repo; model-agnostic image work: the scenario-image skill. If a sibling skill named here is missing from your available skills, ask the user to install it (npx skills add scenario-labs/skills --skill <name>); unattended, proceed from tool schemas and flag the gap.
Quick reference
At authoring time (the live schema wins):
| Member | Capabilities | References | Prompt cap | Aspect ratios |
|---|---|---|---|---|
| Reve v2.1 | txt2img, img2img | references, optional | 4000 | 18 values, 4:1 through 1:4, default auto |
| Reve Remix | img2img | referenceImages, required, 1 to 6 | 2560 | 7 values, 16:9 through 9:16, default 3:2 |
Three parameters each: the prompt, the reference array, aspectRatio. Neither member has a mask, seed, width and height, negative prompt, or batch-count field, so an edit is scoped by wording and size comes only as a ratio. auto (v2.1 only) picks a fitting shape; pass an explicit ratio when the deliverable demands one.
Pick by job. v2.1 covers generation from a prompt alone and precise edits: swap the text on a poster, recolor a product, change a material, relight or restyle, merge references while every subject stays consistent. Remix blends photos, illustrations, or design assets into one cohesive composite. Where either would do, dry_run both: at authoring time a v2.1 run cost several times a Remix run and took over a minute at p50 against Remix's twenty-odd seconds.
Frame tags wire v2.1 references
In a v2.1 prompt, a reference is addressed with a <frame>N</frame> tag, numbered from 0 in the order the assets appear in references: the first is <frame>0</frame>, the second <frame>1</frame>. Use the tags whenever more than one reference is in play; without them the model guesses which image you mean. Remix documents no tag syntax: name subjects in plain words ("the bottle from the first image, the lighting from the second").
Edits are instructions, not masks
Neither member takes a mask, so the prompt carries the whole edit: state what changes and what must stay untouched. v2.1's reasoning rewards specific plain-language instructions over keyword lists, and its 4000-character budget leaves room for constraints. For masked inpainting on an exact region, use a model that exposes a mask field (see scenario-image).
Worked example: swapping the text on a poster
searchwithtarget="models",query="reve",public=true. At authoring time the hits weremodel_reve-v2-1(generation and instruction edits) andmodel_reve-remix(multi-image blends); re-discover each session.model_schema_geton the pick: field names, caps, and the ratio list before anything else.upload_assetthe poster (see thescenarioskill) to get an asset id.model_runwith thatmodel_id,dry_run=true, andparameters={"prompt": "Replace the headline on the poster in <frame>0</frame> with 'SUMMER SALE', matching the original font, perspective, and lighting. Change nothing else.", "references": ["asset_x"], "aspectRatio": "auto"}for the cost estimate.- Repeat
model_runwithwait=false, thenjobs_waitwith the returned job id, re-called withpending_job_idson timeout, never a secondmodel_run. asset_displayto check the swap, thenasset_downloadto save.
Common mistakes
- Counting frames from 1:
<frame>1</frame>is the second reference; the first is<frame>0</frame>. - Carrying a field name across members: v2.1 takes
references, Remix takesreferenceImages; each schema lists only its own. - Running Remix without references:
referenceImagesis required (1 to 6 at authoring time); prompt-only generation belongs to v2.1. - Reusing a v2.1 prompt on Remix without checking length: 4000 characters overflow its 2560 cap.
- Sending width, height, a mask, or a seed: none exists on either member;
aspectRatiois the only size control. - Treating a v2.1
jobs_waittimeout as an error: p50 latency topped a minute at authoring time; re-call withpending_job_ids.
Signals
- GitHub stars
- 681
- Forks
- 82
- Last commit
- Sep 2026
Advanced
- Item type
- skill
- Key
scenario-reve- Source
- github.com/scenario-labs/skills