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Nemotron 3 Nano Omni — the first multimodal model in the Nemotron 3 family, now on DeepInfra!

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All categories and models you can try out and directly use in deepinfra:

text-generation

automatic-speech-recognition

zero-shot-image-classification

BAAI/bge-en-icl cover image

A LLM-based embedding model with in-context learning capabilities that achieves SOTA performance on BEIR and AIR-Bench. It leverages few-shot examples to enhance task performance.

$0.010 / 1M tokens

bge-large-en-v1.5

BAAI/bge-large-en-v1.5 cover image

BGE embedding is a general Embedding Model. It is pre-trained using retromae and trained on large-scale pair data using contrastive learning. Note that the goal of pre-training is to reconstruct the text, and the pre-trained model cannot be used for similarity calculation directly, it needs to be fine-tuned

$0.010 / 1M tokens

BAAI/bge-m3 cover image

BGE-M3 is a versatile text embedding model that supports multi-functionality, multi-linguality, and multi-granularity, allowing it to perform dense retrieval, multi-vector retrieval, and sparse retrieval in over 100 languages and with input sizes up to 8192 tokens. The model can be used in a retrieval pipeline with hybrid retrieval and re-ranking to achieve higher accuracy and stronger generalization capabilities. BGE-M3 has shown state-of-the-art performance on several benchmarks, including MKQA, MLDR, and NarritiveQA, and can be used as a drop-in replacement for other embedding models like DPR and BGE-v1.5.

$0.010 / 1M tokens

BAAI/bge-m3-multi cover image

BGE-M3 is a multilingual text embedding model developed by BAAI, distinguished by its Multi-Linguality (supporting 100+ languages), Multi-Functionality (unified dense, multi-vector, and sparse retrieval), and Multi-Granularity (handling inputs from short queries to 8192-token documents). It achieves state-of-the-art retrieval performance across diverse benchmarks while maintaining a single model for multiple retrieval modes.

$0.010 / 1M tokens

Bria/Bria-3.2 cover image

Bria 3.2 is the next-generation commercial-ready text-to-image model. With just 4 billion parameters, it provides exceptional aesthetics and text rendering, evaluated to be on par to leading open-source models, and outperforming other licensed models.

Bria-3.2-vector

Bria/Bria-3.2-vector cover image

Bria 3.2 is the next-generation commercial-ready text-to-image model. With just 4 billion parameters, it provides exceptional aesthetics and text rendering, evaluated to be on par to leading open-source models, and outperforming other licensed models.

blur_background

Bria/blur_background cover image

Bria Blur Background softens and de-emphasizes image backgrounds while keeping the subject sharp and clear for professional-quality results. Trained fully on licensed data, it delivers safe, natural, and commercial-ready outputs.

Bria/enhance cover image

Bria Enhance improves overall image quality by sharpening details, balancing colors, and boosting clarity for crisp, professional visuals. Trained only on licensed data, it’s safe, reliable, and ready for commercial use.

Bria/erase cover image

Bria Eraser enables precise removal of unwanted objects from images while maintaining high-quality outputs. Trained exclusively on licensed data for safe and risk-free commercial use

erase_foreground

Bria/erase_foreground cover image

Bria Erase Foreground precisely removes main subjects or foreground objects from images. Built entirely on licensed data, it is safe and optimized for professional and commercial use.

Bria/expand cover image

Bria Expand expands images beyond their borders in high quality. Resizing the image by generating new pixels to expand to the desired aspect ratio. Trained exclusively on licensed data for safe and risk-free commercial use.

Bria/fibo cover image

FIBO is an open-source, JSON-native text-to-image model trained on detailed structured descriptions (over 1,000+ words per image), providing fine-grained control over light, composition, and camera parameters.

Bria/fibo_edit cover image

🥳 For a limited time, Fibo Edit is free on DeepInfra 🥳 YOUR AI, YOUR RULES. Visual Generation for Production-Grade. FIBO Edit. An open-source image editing model with native masking and a lightweight 8B architecture.

Bria/gen_fill cover image

Bria GenFill enables high-quality object addition or visual transformation. Trained exclusively on licensed data for safe and risk-free commercial use.

remove_background

Bria/remove_background cover image

Bria RMBG 2.0 enables seamless removal of backgrounds from images, ideal for professional editing tasks. Trained exclusively on licensed data for safe and risk-free commercial use.

replace_background

Bria/replace_background cover image

Bria Background Generation allows for efficient swapping of backgrounds in images via text prompts or reference image, delivering realistic and polished results. Trained exclusively on licensed data for safe and risk-free commercial use.

Bria/video_eraser cover image

Remove unwanted objects or regions from video using a mask, reconstructs the background with intelligent content-aware fill.

$0.1400 / second

video_foreground_mask

Bria/video_foreground_mask cover image

Automatically identify and segment foreground objects across video frames and generate a mask. No prompts, just a video.

$0.1400 / second

video_increase_resolution

Bria/video_increase_resolution cover image

Increase video resolution up to 8K with advanced AI upscaling. Bring your videos to the big screen, ready for the screens of tomorrow.

$0.1400 / second

video_mask_by_key_points

Bria/video_mask_by_key_points cover image

Identify and segment objects across video frames using specific coordinate points. Just point in the right direction and the model will figure out by itself which object should be masked.

$0.1400 / second

video_mask_by_prompt

Bria/video_mask_by_prompt cover image

Identify and segment objects across video frames using a text prompt. The easiest way to create a mask to modify your videos.

$0.1400 / second

video_remove_background

Bria/video_remove_background cover image

Light and fast. Remove the background of your videos to bring the foreground elements to focus. No more unwanted distractions.

$0.1400 / second

text-generation

ByteDance/Seed-1.8 cover image

Optimized specifically for multimodal agent scenarios. It features enhanced agent capabilities, upgraded multimodal comprehension, and more flexible context management.

$0.05 cached, $0.25 in, $2.00 out / 1M

text-generation

ByteDance/Seed-2.0-code cover image

A coding model optimized for real-world development environments, with reliable tool use in common IDEs such as Claude Code. It delivers strong front-end performance and supports Skills.

$0.10 cached, $0.50 in, $3.00 out / 1M

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Featured Models

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