AI AGENTS

Replicate Image-Model Drift Visual Diff to Discord

For deprecated image-generation models on Replicate, the agent renders the golden prompt set on the old and successor versions, builds a side-by-side visual diff, stores it in S3.

CategoryAI Agents
Enginepaperclip
Difficultyadvanced
Triggerschedule
Steps5
Setup~25 min

How it runs

The automated pipeline, trigger to output.

  • TriggerSchedule detects a deprecated pinned image model
  • ActionRender golden prompts on old and successor versionsReplicateReplicate
  • LogicPair outputs and compose side-by-side comparisons
  • ActionUpload comparison images to S3AWS S3
  • OutputPost Discord review thread with embedded diffsDiscordDiscord

What it does

Text diffs do not work for image models, so this agent handles visual drift. When an image-generation model pinned on Replicate is deprecated, it renders your golden prompts on both the old and successor versions, composes side-by-side comparison images, uploads them to S3, and posts a Discord review thread where the team can eyeball stylistic shifts before approving the migration.

When to use it

Use it when you depend on Replicate image or video diffusion models and the migration decision hinges on visual fidelity that only a human can judge from a clear before-and-after.

How it works

  1. 1A schedule detects a deprecated pinned image model.
  2. 2The agent generates each golden prompt on the old and successor versions.
  3. 3A logic step pairs outputs and composes side-by-side comparison images.
  4. 4It uploads the comparison set to S3 and collects shareable links.
  5. 5It posts a Discord thread embedding the comparisons for team review.
  6. 6The thread tags reviewers and requests an approve-or-hold verdict.

Set it up

What you configure once, before turning it on.

  1. 1
    Connect ReplicateImage, video, and model inference.
  2. 2
    Connect AWS S3Buckets, objects, signed URLs.
  3. 3
    Connect DiscordCommunity channels + voice + bots.
  4. 4
    Set each agent's modelWe leave models unset so you pick the tier — fast + cheap, or top-quality.
  5. 5
    Tune it to your dataEdit the prompts, filters, and field mappings so it matches how your team works.
  6. 6
    Test, then turn it onRun once against a sample, confirm the output, then enable the trigger.

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