FaceSwap ROOP

FaceSwap ROOP is retained here as a historical face-replacement entry, not a recommendation for a maintained service. On September 12, 2026, the linked s0md3v/roop repository was archived and its current README described a StableDiffusion extension. That destination no longer provides a clear basis for treating every older standalone ROOP tutorial as current. If you have an existing project, identify its exact code and model files before attempting a replacement or an update.

Read the archive notice before the old feature list

The current maintainer README explicitly says development stopped and the repository was archived. Below that notice it describes an extension for the AUTOMATIC1111 StableDiffusion web interface, while referring to a related ROOP project. This creates an important identity boundary for readers arriving from historical standalone image or video tutorials. The same familiar name does not make the current files a complete record of every earlier application.

The archive notice supports a statement about this repository's maintenance status. It does not prove that every community fork, hosted face-swap product or model used by ROOP has closed. Equally, activity in another repository does not mean the original project has resumed. Treat each codebase as a separate system with its own maintainer, dependencies and terms.

An archived page can still help someone understand an old project or locate its provenance. It should not encourage a new production dependency with an unsupported “start now” promise. This evaluation therefore focuses on what can be established from the available source, how to assess existing work, and when a different editing workflow is the more defensible choice.

Establish which application your files came from

Before following instructions from a video or saved note, identify whether they describe a standalone ROOP application, a StableDiffusion extension or a later fork. Look for a repository URL, release or commit, launch command, dependency file and model download reference. Keep those facts with the project. A directory named roop or a familiar screenshot is not enough to establish compatibility.

The current extension README describes selecting a face image and enabling replacement in generated images. It mentions InsightFace and an inswapper model in its installation notes. Those facts support the extension's documented image workflow. They do not independently verify a current standalone video pipeline, a particular real-time feature or every restoration option attributed to ROOP elsewhere.

If your existing job contains videos, retain the original video and exported result while you identify the implementation used. Do not assume that moving a model file into a different fork will reproduce the same tracking, face selection, frame handling or encoding. A migration is a new evaluation, even when both tools use an inswapper filename. The relevant comparison is the actual permitted project and its output requirements.

Separate the code license from model permissions

The current repository's LICENSE identifies GNU Affero General Public License version 3. That is different from a blanket MIT description. This observation applies to the repository retrieved for this evaluation; it does not reconstruct the licensing history of every original standalone release. Anyone maintaining an older installation needs the license accompanying that exact code revision.

InsightFace's licensing section separately distinguishes its MIT code from its training data and associated models, which it describes as available for non-commercial research. It also directs inswapper licensing inquiries to the project. The fact that a Python library is MIT does not clear the weights used by a face-replacement workflow. A working download link is an access fact, not permission for a commercial deliverable.

For a real project, make a short inventory with separate rows for application code, face model, detection/recognition models and any restoration component. Record the source and terms of each. If the intended use is not covered or cannot be established, do not recommend deployment on the basis of the application license alone. This evaluation does not provide a legal conclusion about any particular production arrangement.

Define a permitted composite before testing appearance

A face-replacement experiment also needs a clear media brief. Use source material you are authorized to process and, when a real person is depicted, establish permission for the intended transformation and audience. The archived README's usage guidance asks for consent and clear disclosure when sharing altered media. Its statement is guidance from the project, not evidence that a filter verifies consent for you.

Define whether the job is a private technical study, a clearly disclosed fictional-character image or a consented visual effect. Keep the source and target images separate and label the exported composite. Do not describe face replacement as guaranteed anonymization. Hair, body, clothing, context and other cues can still identify a person even when a face region changes.

If privacy protection is the actual task, choose a redaction process and assess the whole image or sequence against that goal. If a fictional character simply needs a consistent portrait, direct illustration or ordinary compositing may be enough. These choices should follow the brief rather than an assumption that a recognizable face-swap effect is necessary for every image-editing problem.

Recover an old project with an artifact ledger

This is an unexecuted preservation plan for an existing, permitted ROOP project. Start by copying its identifying information into a ledger: repository and revision, runtime and dependencies, model filenames and hashes, source media, settings and exported outputs. Keep the existing files intact while you inspect them. A record of a successful historical export is useful even when the environment cannot be reproduced immediately.

Next separate what you possess from what a tutorial merely references. A local model file with an unknown origin is not the same evidence as a documented download and its terms. A screenshot of settings is not a dependency lockfile. Mark each missing item explicitly, then decide whether the missing information affects reproduction, rights or both. This helps avoid wasting time repairing software for an intended use whose permissions are still unresolved.

Choose a small representative input from the permitted project if reproduction is justified. Before running anything, define what must match: selected face, output dimensions, important visual details and, for historical video work, the actual timing and sound requirements. This page did not execute such a run. The checklist is intended to make a future comparison reviewable, not to imply that old ROOP environments work on current systems.

If the environment cannot be restored coherently, preserve the original export and evaluate a new workflow on its own merits. Do not overwrite the old project with a mixture of upgraded dependencies and substitute models. That can destroy the evidence needed to explain why the new result differs. A migration record should identify the changed system as well as the changed image.

Inspect identity and image quality independently

For a hypothetical, authorized fictional-character composite, judge resemblance and image integration separately. First inspect whether the intended face was selected and whether recognizable character features are present. Then inspect the boundary with surrounding skin, hair or clothing, the direction of lighting and the expression. A smooth blend can contain the wrong identity; a recognizable face can still be an unusable composite.

Evaluate at the intended display size and at a closer inspection scale. A small preview may hide boundary defects, while an enlarged crop may exaggerate details irrelevant to the final use. Keep both observations tied to the same exported file. If a restoration or upscaling stage is used, retain a result before that stage so a changed feature can be attributed to the correct operation.

These are proposed acceptance criteria, not measured strengths or weaknesses of a current ROOP build. The retrieved README offers restoration and upscaling suggestions, but this page did not test their results or compare restoration models. No face-similarity percentage, universal processing time or guaranteed expression retention is reported. Those claims would require defined inputs, implementation and evidence.

Stop at the appropriate failure boundary

If the wrong face changes, inspect the specific implementation's selection controls and the source/target assignment before evaluating visual quality. If no face changes, the current extension README lists detection and filtering among possible explanations. Do not infer the cause from the unchanged image alone. Record the console result and the selected settings, without treating a missing error as proof of a successful operation.

If the image looks plausible but the project needs video, a still-image check does not settle temporal behavior. A sequence can expose changing boundaries, missed frames or inconsistent identity that one selected frame conceals. Any replacement workflow should be assessed on the complete permitted clip, including its required audio and timing. This is a migration requirement, not a claim that the archived extension provides a tested video feature.

If the blocker is missing model permission or uncertain code provenance, image tuning does not resolve it. If the blocker is a small artistic defect in an otherwise permitted image, ordinary manual correction may be sufficient. Keeping these decisions separate prevents repeated generation from being mistaken for progress on a maintenance or licensing problem.

Compare replacements by responsibility and task fit

A named fork should not be recommended solely because it appears in an old list of ROOP successors. Verify its present maintainer, released code, supported inputs, model dependencies, terms and actual output path. Check whether its documentation distinguishes its own code license from model licensing. This evaluation did not verify an active named successor closely enough to recommend one for a production use.

The image-to-image model category can help discover other editing approaches, but it is not a list of equivalent face-swap replacements. A method designed for restyling or local image edits may solve a different problem. Return to the desired result: consented identity replacement, a fictional portrait, an ordinary composite or privacy redaction require different acceptance decisions.

The model directory is a broader navigation route for readers whose original requirement has changed. Use it to locate the relevant type of workflow, then verify that exact entry. No catalogue rating or number of forks establishes that software is maintained, suitable for a sensitive project or cleared for the intended commercial use.

What this historical page can establish

Official repository and InsightFace sources were checked on September 12, 2026. The current archive state and the extension identity were observed; a full history of the earlier standalone application's releases was not reconstructed. No software was installed, model executed, face image uploaded or video processed. The recovery ledger and visual checks are original evaluation proposals rather than hands-on results.

For an existing project, the useful next step is to recover exact provenance and preserve its inputs and outputs. For new work, first define the permitted transformation and verify a maintained workflow with suitable terms. The historical ROOP entry remains useful as a reference, but its archive status and unresolved original-version identity limit what can responsibly be promised from this page.