—Create AI images with text, images, and subject inputs.

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October 31, 2024

OmniGen AI

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Create AI images with text, images, and subject inputs.

Overview

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AI Image Generation Subject-driven Generation Multi-modal Inputs Text-based Image Generation Image References Identity PreservationFree + from $12.9/mo

Most popular alternative: Photo AI (2,558 saves)

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OmniGen is an advanced AI image generator, designed for multiple applications. The tool can create images using text prompts or multi-modal inputs which include image references or using subject-driven generation.

OmniGen allows users to upload a maximum of 3 images to reference during the generation process. This can be used to merge different aspects or create a condition map for an image.

The tool also allows users to describe their desired image through a prompt which includes information about the elements in the uploaded images. Users can adjust the tool's generation settings to modify the ratio of the images generated.

OmniGen also enables users to edit previously generated images, allowing for unique edits and experimentation. OmniGen's model should be adjusted to specific prompts to generate visuals that fulfill professional and creative requirements.

It emphasizes preserving the identity of the subject, making it perfect for producing recognizable figures and maintaining consistency in character rendering.

Furthermore, it is designed for highly tailored imagery creation by combining identity-preserving generation and subject-driven generation.

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Initial release

October 31, 2024

Initial release of OmniGen AI.

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Pricing

Pricing model

Freemium

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$12.90/month

Billing frequency

Monthly

Refund policy

No Refunds

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OmniGen AI was manually vetted by our editorial team and was first featured on October 31st 2024.

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Pros and Cons

Pros

Text prompt based generation

Multi-modal input availability

Maximum 3 image references

Merging image aspects feature

Conditional map creation

Generation setting adjustment

Allows image ratio modification

Enables editing previously generated images

Fulfills professional and creative needs

Subject identity preservation

Consistent character rendering

Highly tailored imagery creation

Supports identity-preserving generation

Supports subject-driven generation

Image generation using upload

Prompt includes image elements

Enables unique edits

Supports visual experimentation

Allows image prompt customization

Provides clear high-quality results

Flexible seed handling

Professional design capabilities

Supports creative imagery

Text-based image generation

Advanced image generator

View 20 more pros

Cons

Limited to 3 reference images

Requires prompt customization

Possibly slow generation time

Limited identity-preservation on complex subjects

Requires serial number referencing

Limited to text and image prompts

Customization may require advanced skill

Potential inconsistency in character rendering

Possibly complex image-conditioned prompts

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Q&A

What is OmniGen AI Image Generator?

OmniGen AI Image Generator is an advanced AI-driven tool that allows users to create images using different application methods. Users can input text prompts and multi-modal inputs such as image references or a subject-specific approach to generate images. It also preserves the identity of the uploaded references, making it excellent for creating identifiable figures or maintaining consistency in character representation. Beyond generation, OmniGen allows for edits of previously generated images, blending unique edits with room for experimentation.

How does the multi-modal input feature work on OmniGen?

Multi-modal inputs on OmniGen allow users to create images not just based on text prompts but also by using image references or subject-specific approaches. If the users want to integrate specific aspects from the uploaded references into the generated image, they can do so by mentioning those attributes in the prompt.

What is the upload capacity for reference images in OmniGen?

OmniGen lets users upload a maximum of three images as references during the image generation process.

How can I merge different aspects using OmniGen?

To merge different aspects using OmniGen, users can upload the images of the aspects needing merging, then describe the desired fusion in the prompt. This process allows OmniGen to understand the elements in the uploaded images that should be incorporated into the generated image.

What does it mean by creating a condition map for an image on OmniGen?

Creating a condition map for an image on OmniGen refers to the process of integrating multiple references into one final image. By uploading up to three reference images, users can annotate the desired elements from these images in the prompt, guiding the AI to merge those elements in a contextually accurate way.

Can I modify the ratio of the images generated on OmniGen?

Yes, OmniGen provides users with the ability to adjust the tool's generation settings, allowing them to modify the ratio of the images generated according to their requirements.

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Does OmniGen allow for image editing of previously generated images?

Yes, OmniGen does allow for image editing of previously generated images. This ability provides users the opportunity to make unique changes and experiment with the visuals.

How can I adjust OmniGen model to suit my specific prompts?

Users can adjust OmniGen's model to specific prompts by describing the desired image in the prompt. If it involves something from one of the uploaded references, it can be introduced in the prompt in a particular format. This way, OmniGen can adapt to the unique requirements of each prompt and generate the necessary visuals.

Does OmniGen maintain consistency in character rendering?

Yes, OmniGen does maintain consistency in character rendering. This makes it effective for producing recognisable images, especially if they are part of a consistent character or theme.

What does it mean by identity-preserving generation in OmniGen?

Identity-preserving generation in OmniGen means that the AI prudently integrates elements from the reference images while maintaining the standout attributes of the subject. This behaviour is particularly useful when users want the generated image to resemble the original subject closely.

Can I use OmniGen for professional design?

Yes, OmniGen is designed to cater to both creative and professional requirements. Users can adjust OmniGen's generation parameters to create visuals that fit their professional needs.

How does the subject-driven generation function work on OmniGen?

The subject-driven generation function in OmniGen allows users to craft images centered around a specific subject. Whether it's an object, a character, or a particular context, OmniGen can take the essential elements from the subject and use them to guide image generation.

What is the role of prompt customization in the OmniGen?

Prompt customization plays an integral role in OmniGen. A detailed prompt helps yield clearer and higher-quality images. OmniGen's model adapts to specific prompts, making it ideal for personalized and tailored image generation.

How do I use text-based image generation feature in OmniGen?

The text-based image generation feature in OmniGen works by taking a user-provided text prompt to guide the image generation process. Whatever the user describes in the text prompt, OmniGen attempts to represent it in the generated image.

Can I use OmniGen for creating recognizable figures?

Yes, OmniGen is excellent for creating recognizable figures. It maintains and preserves the identity of the subject from the uploaded image references, making it suitable for rendering recognizable figures and characters.

How do I use image references in OmniGen for image generation?

In OmniGen, image references are used as a guide for the image generation. Users upload images that possess elements they want in their final image. The desired elements need to be described or represented in the prompt to allow OmniGen to interpret and incorporate them into the generated image.

Does OmniGen support visual experimentation?

Yes, OmniGen supports visual experimentation. Users can modify or edit previously generated images, thus offering room to experiment with various styles and adjustments.

How does conditional mapping work in OmniGen?

Conditional mapping in OmniGen can be understood as the integration of different elements from multiple uploaded references into one final image. Users can control which aspects are incorporated by specifying them in the prompt area while uploading the images. This way, they guide the AI to generate an image that adheres to their defined conditions.

Can OmniGen adapt to specific prompts for generating high-quality results?

Yes, OmniGen can adapt to specific prompts for generating high-quality results. The more detailed the prompt, the clearer the results. OmniGen’s model adjusts to the particularities of each prompt to generate images that suit user requirements, whether professional or creative.

How does OmniGen handle image editing and style customization?

OmniGen handles image editing and style customization by providing a flexible seed handling mechanism. Users can change the seed value when modifying an existing image, enabling unique edits. It caters to image refinement and experiments, thus fostering personalisation.

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