ToolMeshToolMesh
D

Dreamomni2

💲Paid

DreamOmni2 is an open-source multimodal AI model specializing in instruction-based image editing and generation. It enables precise transformations by referencing abstract attributes or manipulating concrete objects, offering superior identity consistency and editing precision compared to commercial models.

💻
Platform
web
AI image editingAI image generationMultimodal AIInstruction-based editingOpen-source AIStyle transferMaterial transfer

What is Dreamomni2?

DreamOmni2 is an open-source multimodal AI model specializing in instruction-based image editing and generation. It enables users to transform images by referencing abstract attributes such as texture, material, and style, or by manipulating concrete objects with high precision. The model excels in maintaining identity consistency during edits, outperforming many commercial AI solutions. DreamOmni2 supports both text and image inputs, offering unified control over transformations for creative and practical applications.

Core Technologies

  • Multimodal AI
  • Deep Learning
  • Computer Vision

Key Capabilities

  • Instruction-based image editing with text or image inputs
  • High precision manipulation of abstract and concrete attributes
  • Superior identity consistency in transformations
  • Open-source accessibility for developers and researchers
  • Supports multimodal inputs for versatile control
  • Outperforms commercial models in editing precision

Use Cases

  • Creative image editing for digital art
  • Style transfer between images
  • Material and texture transformation in designs
  • Precise object manipulation in photos
  • Multimodal AI research and development

Core Benefits

  • Greater control over image transformations
  • Enhanced editing precision compared to commercial models
  • Flexible input options including text and images
  • Open-source accessibility for developers
  • Superior consistency in maintaining image identity

Key Features

  • Multimodal instruction-based editing and generation
  • Supports text and image inputs for transformations
  • Superior identity consistency in edits
  • High precision in manipulating abstract attributes
  • Open-source model with advanced capabilities

How to Use

  1. 1
    Upload your source image for editing as the first reference image.
  2. 2
    Optionally add a second image for style guidance if desired.
  3. 3
    Describe your desired transformation in the editing prompt field.
  4. 4
    Click 'Generate' to process your multimodal instructions.
  5. 5
    Review the output and adjust inputs if needed for refinement.

Pricing Plans

Creator

$2/month
For individuals exploring multimodal edits. Get 300 DreamOmni2 credits per month (≈3 edits), 2K JPG/PNG exports with subtle watermark, dual-reference instructions, attribute sliders, prompt recipes, edit history, side-by-side comparison, community Discord access, personal-use license.

Pro

$20/month
Best for commercial creators and small teams. Get 3,000 DreamOmni2 credits per month (≈30 edits), unlimited dual-reference edits with pose locking, 4K exports and layered TIFF/PSD handoff without watermark, region-aware masking, object permanence controls, priority render queue, commercial license, 3 collaborative seats, priority chat and email support.

Studio

$50/month
For teams shipping branded content at scale. Get 15,000 DreamOmni2 credits monthly (≈150 edits), batch pipelines, scheduled reruns, template chaining, multi-canvas editing with up to 5 reference inputs, asset versioning, 8K exports, layered PSD, alpha channel delivery, dedicated GPU lanes, studio distribution, white-label, reseller rights, 12 team seats, quarterly private model tuning sessions, producer hotline.

Enterprise

$80/month
Everything departments need for production pipelines. Get 50,000 DreamOmni2 credits monthly with rollover, dedicated DreamOmni2 inference cluster and SLAs, custom fine-tuned checkpoints and guardrails, unlimited 8K, EXR, and custom format exports, private API endpoints, hybrid or on-prem deployment, SAML/SCIM provisioning, unlimited seats, named technical director, 24/7 response desk.

Frequently Asked Questions

Q.What is DreamOmni2?

A.DreamOmni2 is a unified multimodal AI model for instruction-based image editing and generation, allowing users to transform images using text and reference images for abstract attributes and concrete objects.

Q.How does DreamOmni2 multimodal editing work?

A.DreamOmni2's multimodal editing works by combining text instructions with one or more reference images. The first image is edited, and optional subsequent images guide the style, material, or other attributes, leveraging its instruction index encoding for multi-image input.

Q.Is DreamOmni2 free and open-source?

A.Yes, DreamOmni2 is fully open-source, allowing users to download model weights and run it locally. It also offers complimentary credits to start using its browser-based editor.

Q.What makes DreamOmni2 better than GPT-4o?

A.DreamOmni2 surpasses GPT-4o in abstract attribute generation (materials, textures, artistic styles) and offers superior identity and pose consistency. While GPT-4o handles basic editing, it struggles with visual references and lacks multimodal instruction support.

Q.Can I use DreamOmni2 for commercial projects?

A.Yes, DreamOmni2's open-source license allows for commercial applications. Paid plans also offer commercial licenses for client deliverables and studio distribution rights.

Q.What image formats does DreamOmni2 support?

A.DreamOmni2 supports JPG/PNG exports for Creator plans, 4K exports and layered TIFF/PSD for Pro plans, and 8K exports, layered PSD, alpha channel, EXR, and custom format exports for Studio and Enterprise plans.

Q.What are abstract attributes in DreamOmni2?

A.Abstract attributes in DreamOmni2 refer to visual concepts like material, texture, style, lighting, atmosphere, and makeup, which can be transferred or manipulated using reference images beyond simple text descriptions.

Q.Can I run DreamOmni2 locally?

A.Yes, DreamOmni2 is fully open-source, and you can download model weights and run it locally, though it requires a GPU for deployment.

Q.How do I craft effective multimodal instructions for DreamOmni2?

A.To craft effective multimodal instructions, you combine text descriptions with image inputs. For editing, specify the source image first, and use reference images to guide abstract attributes or concrete objects. DreamOmni2's index encoding handles multi-image input.

Q.Where can I learn more about DreamOmni2?

A.You can learn more about DreamOmni2 by reviewing its open-source repository on GitHub, diving into community discussions on Reddit, reading its research papers on arXiv, and tracking real-time commentary on X (Twitter).

Pros & Cons (Reserved)

✓ Pros

  • Superior identity consistency in image edits
  • High precision for abstract attribute manipulation
  • Supports both text and image inputs
  • Open-source model accessible to developers
  • Greater control over transformations than commercial models

✗ Cons

  • Requires technical expertise to implement fully
  • Limited documentation as an open-source tool
  • May have slower processing than cloud-based alternatives

Alternatives

No alternatives provided.