# Reve Image Editing Guide to Consistent Revisions and Review

> Published 2026-04-05, updated 2026-09-06 · https://www.promptzone.com/kareem_kim/mystere-halfmoon-ai-boosts-image-generation-o04

---
title: "Reve Image Editing Guide to Consistent Revisions and Review"
published: true
description: "Use Reve Image to revise a selected picture, compare changes with the original, and preserve an accepted version throughout an editing session."
tags: ai,imagegeneration
---

To revise an image in Reve, select an existing result and describe the change in chat; the app creates new candidates while keeping the original. Reve Image is a hosted creation and editing product from Reve AI, Inc., whose model page presents Reve 2.1. Compare each candidate with the selected source and continue from the version you approve. [Chat guide][chat] [Company][about] [Model page][model]

## What are the key facts about Reve Image and its editing workflow?

| Field | Verified information |
| --- | --- |
| Developer | Reve AI, Inc. [Company page][about] |
| Released | Reve publicly identified Halfmoon as Reve Image on March 24, 2025; Reve 2.1 was announced July 9, 2026. [Official identification][identity] [2.1 announcement][launch] |
| Type | Hosted image creation and editing; the current model separates planning from rendering. [Model page][model] |
| Size or parameters | Absolute parameter count not published in the cited current model description. [Model page][model] |
| License and access | Proprietary service with no published open weights. [Terms][terms] |
| Where it runs | Reve's web application; its public API is no longer available. [Chat guide][chat] [API notice][api] |

## How does Reve support successive image revisions?

Reve documents an iterative conversation: generate an image, select a result, and give further direction. The guide says a revision creates new images while preserving the original result in the application. That supports a practical before-and-after review without making the newest candidate your only remaining reference. [Chat guide][chat]

The current model page describes planning image structure before rendering and using an intermediate representation to make image elements editable. Reve attributes this planning-and-rendering workflow to its current Reve 2.1 model. [Model page][model]

For a useful trial, create an interior concept showing a reading chair beside a tall window. Include a floor lamp, a small side table, and a plain wall. Your revision task is to change the chair upholstery while keeping the arrangement useful for a room-design discussion.

Write down which details matter before the edit. The chair's silhouette, lamp position, window proportions, and visible floor area might be essential. A decorative object on the table might be optional. Make those distinctions explicit so an attractive but structurally different image does not automatically pass review.

For the original model's identity and composition features, read the [Reve Image and Halfmoon guide](/divya_watanabe/halfmoon-reve-advanced-ai-image-tool-41e4). Use the review process below when developing an image through successive edits.

## What access and revision limits should you check in Reve?

Reve's public API closed on August 14, 2026, according to its help center. Use the web application for the current first-party editing workflow. [API notice][api]

The chat guide also states that direct prompt mode is no longer supported. Follow the documented agent conversation rather than depending on an undocumented mode switch. [Chat guide][chat]

Reve's current model description distinguishes editing with image references from editing through its image representation. It claims different resistance to degradation for those paths. Treat the claims as descriptions of the product's design and test the actual path you use. [Model page][model]

A good review distinguishes the requested edit from collateral changes. For the reading-chair exercise, a successful upholstery change is only part of the answer. Check whether the lamp moved, the window became narrower, or the chair legs changed shape. Record those outcomes separately.

Avoid assigning a universal consistency percentage from a small trial. Instead, keep concrete observations: “chair fabric changed as requested,” “lamp moved,” or “window shape preserved.” Such notes are easier to act on than a single quality score.

## How do you revise an image and compare the results in Reve?

Open Reve's web application and start an image conversation.
The public Reve API is closed. [Chat guide][chat] [API notice][api]

Begin in chat with a concrete image request. The official guide supports natural-language instructions and lets you attach images or other references. Select the result you want to develop using the image's selection control, then provide the next instruction. [Chat guide][chat]

For the room exercise, try this original brief: “A quiet reading corner with a rounded armchair beside a tall window. A slender floor lamp stands behind the chair, and a small wooden table sits to its right. Use soft daylight and a plain pale wall. Show the chair and surrounding floor clearly.”

Inspect the initial result before editing. Choose a candidate whose basic arrangement fits the assignment. If the window or chair is already wrong, resolve that first instead of using an upholstery edit to repair an unsuitable starting point.

Next, select the chosen image and request a single change: “Change the chair upholstery to muted green linen. Preserve the chair shape, lamp position, window proportions, table, and camera angle.” These are suggested reviewable instructions, not a guarantee of unchanged pixels.

Compare the revised candidate with the selected source. Start with the fabric, then inspect the chair's outline and the surrounding objects. Finally, view the whole scene to decide whether the changed fabric still suits the lighting and room concept.

Create a small revision record outside the conversation. Include the input image, instruction, candidate output, and acceptance decision. If the result is rejected, describe why with a visible feature rather than an abstract complaint such as “less realistic.”

For the next request, choose the last accepted result deliberately. Ask to adjust the wall color or simplify the table arrangement, then repeat the same checks. Keep the requirements from earlier approved decisions visible so they do not disappear as attention shifts to the newest edit.

When several people review the work, give them the same brief and pair of images. Ask them first whether the requested change happened and then whether the preserved features remain acceptable. Discuss stylistic preference only after those questions are answered.

Keep the final asset, the accepted revision sequence, and the model label together. If the application changes later, those records help explain the conditions under which the approved image was made.

## How does Reve editing compare with local FLUX.1 Kontext dev?

FLUX.1 Kontext dev is a downloadable editing alternative with a documented noncommercial model license and local framework support. Reve supplies a hosted application and its own editing interface. The access choice determines what you can operate locally and which parts of the workflow the service controls. [Kontext release][kontext] [Terms][terms]

| Requirement | Option to evaluate |
| --- | --- |
| Conversational revision in a hosted editor | Reve's current web workflow. |
| An editing model with downloadable weights | FLUX.1 Kontext dev under its applicable license. |

For the latter, the [ComfyUI guide](/tomas_novak/comfyui-2026-the-complete-guide-to-power-user-ai-image-generation-1g17) provides workflow context. Use the same requested-change and preserved-detail checklist when comparing either route.

## What should you know before approving a Reve image revision?

### Is Halfmoon a separate Stable Diffusion model?

Reve's own announcement identifies Halfmoon as Reve Image. The current product is a proprietary hosted service, and the cited materials do not offer a Stable Diffusion checkpoint under that name. [Official identification][identity] [Terms][terms]

### Can I still call the public Reve API?

Reve's help center says the API is no longer available following its August 14, 2026 closure. Use the documented web application for a current first-party workflow. [API notice][api]

### What should I check after an image revision?

After a Reve revision, check whether the requested change happened, then inspect the features you asked to retain. Record both judgments before accepting the new image.

### Should I continue from every new result?

Continue a Reve editing session from the candidate you have approved. Keep the last accepted version available and return to it when a later edit breaks an important detail.

## Sources

- [Reve's official Halfmoon identification][identity]
- [Reve company page][about]
- [Reve model description][model]
- [Reve service terms][terms]
- [Reve API closure notice][api]
- [Creating images in Reve chat][chat]
- [Reve 2.1 announcement][launch]
- [Black Forest Labs Kontext dev release][kontext]

[identity]: https://cdn.syndication.twimg.com/tweet-result?id=1904211082870456824&token=0
[about]: https://app.reve.com/about
[model]: https://app.reve.com/model
[terms]: https://app.reve.com/terms
[api]: https://help.reve.com/hc/en-us/articles/46837930295316-Reve-API
[chat]: https://help.reve.com/hc/en-us/articles/46776083658132-Creating-images-in-chat
[launch]: https://blog.reve.com/posts/launching-reve-2.1/
[kontext]: https://bfl.ai/blog/flux-1-kontext-dev

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