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MODULE FOR 1C-BITRIX

Dubovoi Soft

Dubovoi: Pixel - mass processing and optimization of images via neural networks

The 'Dubovoi: Pixel' module by Dubovoi Soft is designed for mass processing and optimization of images using neural networks. The tool helps unique product photos and prepares them for website publication in a unified format. Users can change backgrounds, adjust styling, resize images, and control compression levels for individual photos or entire product groups.

Technical details

Published
30 September 2026
Version
3.0.2
Installed
Fewer than 50 times
Responsive design
Yes
Composite support
Yes
Compatible with Sites24
No
Developer
Dubovoi Soft

What this solution does

The 'Dubovoi: Pixel' module by Dubovoi Soft is designed for mass processing and optimization of images using neural networks. The tool helps unique product photos and prepares them for website publication in a unified format. Users can change backgrounds, adjust styling, resize images, and control compression levels for individual photos or entire product groups.

The Dubovoi: Pixel module by Dubovoi Soft is designed for mass processing and optimization of images using neural networks. The tool allows filtering products by category, name, attributes, and the presence of photos, handling both primary and additional images. The built-in task queue provides control over the process, enabling users to monitor status, pause processing, resume operations, and retry items that encountered errors.

The Dubovoi: Pixel module by Dubovoi Soft is designed for mass processing and optimization of images using neural networks. The neural network scenarios include creating a new scene, adjusting lighting, fitting on a model, removing text, and background removal. For operations involving the scene, lighting, and fitting, a verification feature against the original product is provided. It is important to note that automatic verification does not replace visual quality control of the result.

The Dubovoi: Pixel module is designed for mass image processing and optimization using neural networks. It supports adding logos, PNG badges, and text captions based on product properties. Users can create and save custom design templates. The tool allows changing file size, format, and quality; image names can be generated by SKU or selected property. The neural network output is saved as a separate control file, which must be moved to the product after verification. For badges and optimization, users can either update selected images or write the result to a separate property. Renaming functionality operates only when the option to preserve the original URL is disabled.

Before launching mass processing, perform a control test to estimate costs. External image processing is billed separately from the license fee; the preliminary estimate depends on data volume, selected scenario, model used, required quality, and number of checks. Applying tags and local optimization are performed on your server without involving external APIs or additional payments.

The module includes an integrated support chat, user guide, and diagnostic tools. An additional communication channel is available via Telegram.

If “Dubovoi: Pixel - mass processing and optimization of images via neural networks” fits the task, General iT can install the module, configure it and verify the result in the project.

UPDATE HISTORY

What’s new

15 releases
3.0.2 (09.09.2026)Latest update

Dubovoi: Pixel version 3.0.2

Fixed retrieval of the first license and updating from version 3.0.1 after a false licensing block.

What's new:

- No new user scenarios have been added in this update.

What has been improved:

- Fixed update launch without prior module loading: necessary configuration classes are now connected by the updater itself.

- An empty date for the saved license no longer causes rejection of the first signed response from the center.

- License restoration works when updating from the old version 3.0.1, including after clearing the licensing cache.

- Response dates are correctly processed regardless of the hosting time zone.

- In case of update failure, the verification stage and diagnostic signs are displayed without revealing keys and signatures.

Why it is important to update:

- The false block on first launch and module reinstallation is eliminated.

- Package signature checks, license ownership for the installation, and update rights are preserved.

What to do after updating:

- Reinstall the update via the Marketplace after replacing the package.

- There is no need to delete licensing settings from the database.

3.0.1 (26.08.2026)

Dubovoi: Pixel version 3.0.1

Pixel is now clearer when selecting a scenario and safer when improving lighting: the original background, frame, and text undergo mandatory automatic verification.

What's new:

- Added visual examples of the new scene, try-ons, pre-publication processing, text cleanup, and background removal.

- Model libraries for try-ons and scenes are separated and no longer mix photos of people with product backgrounds.

- OpenAI costs are shown separately for each scenario and its automatic checks.

What's improved:

- Lighting improvement always preserves the original environment; selecting a new background is available only for the product scene.

- Panoramic sources are placed in a safe service frame without cropping, and the result is returned to the original proportions before automatic verification.

- Changing the product, composition, text, or watermarks blocks the result and prevents its automatic publication.

- The examples gallery and cost cards are adapted for wide and mobile screens.

Why it's important to update:

- The operator sees only parameters related to the selected mode and cannot accidentally replace the background during simple light improvement.

- Dangerous generative results are blocked, do not overwrite the original image, and require manual verification.

- Clear examples and scenario-based calculations reduce the risk of incorrect settings and unexpected costs.

What to do after updating:

- Open Settings, check the selected scenario and the displayed cost estimate.

- Run a test on one image, visually compare the product and environment with the original, and only then create the batch queue.

3.0.0 (25.08.2026)

Dubovoi: Pixel version 3.0.0

Pixel now features a unified OpenAI-first image processing scenario: the administrator assembles a sequence of actions, immediately sees the number of requests and budget, verifies the result on a single product, and only then starts the queue.

What's new:

- OpenAI chains have been added for removing extraneous text, improving lighting, creating scenes, displaying products on models, and AI background removal with transparency and adjustable padding.

- Lighting and scene are combined into a single request, and when trying on, requirements for lighting and environment are added to the final product placement request.

- Backgrounds and model images can be regenerated or randomly selected from a pre-verified library.

- Settings and the queue now include cost calculation per result and for mass execution based on the official tariffs of the selected model.

What's improved:

- For scenes and backgrounds, the module restores the original product pixels based on the mask to avoid altering geometry, color, labeling, or details of the item being sold.

- Chain parameters are displayed only for selected actions; incompatible combinations are blocked until execution.

- Actual OpenAI costs account for text, input graphics, cached, and output tokens from usage; preliminary budgets use a conservative orientation price.

- Paid requests are not automatically retried on connection loss: indeterminate results are routed for manual verification and separately marked in telemetry.

- The control center, Russian documentation, responsive layout, and tooltips for standard settings mode have been updated.

Why it's important to update:

- One chain replaces several scattered settings and helps reduce the number of paid OpenAI calls.

- The mass processing budget is visible before execution, and actual expenses are recorded after each API response.

- Dangerous generative results do not overwrite the original image and require confirmed manual product verification.

What to do after updating:

- Open "Settings → Connections" and verify the OpenAI key and the required proxy.

- On the "Processing" tab, select a ready-made scenario or define a chain, then verify the displayed request plan.

- Run a test on a single image, visually compare the product with the original, and only then form the mass queue.

2.1.7 (12.03.2026)

Module work improvements

2.1.6 (12.03.2026)

- Fixed file log path processing.

- Paths such as /local/log.txt and /log/telega.txt are now correctly recognized as paths from the site root.

- Absolute paths outside the site, for example /home/bitrix/logs/dubovoi.pixel.log, continue to be supported.

- Labels in the logs section have been clarified: the path specified in settings and the actual file path on the server are now shown separately.

- The logging settings tooltip has been improved: it explicitly states that paths like /log/telega.txt and /local/log.txt are considered paths from the site root.

USER EXPERIENCE

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BEFORE YOU ORDER

Let’s go through the details.

What does the price cover?
The displayed price covers the solution itself. Platform licensing, installation and customisation are checked separately. If the page offers bundles, select the required option before submitting a request.
How do I check compatibility?
Compare the supported editions and solution version in the technical details with your project. Before installing on a live website, we recommend making a backup and checking the solution in a test environment.
How much does this solution’s renewal cost?
The current renewal price is 6,000 ₽. Before you order, a manager will confirm the renewal period and whether it applies to your licence.
Can you help with implementation?
We can help install the module, check its settings and verify how it works in your project. Compatibility with other customisations and the scope of work are assessed before we begin.

GENERAL iT

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Получатель: ООО «Дженерал Ай Ти Рус»

1C-BITRIX

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