Replicate is an open-model hosting platform that serves thousands of open-source models including Flux, Stable Diffusion, Llama, and Whisper variants via a unified API.
Access every Replicate model through Railwail's OpenAI-compatible API.
241 модель
Salesforce BLIP. Vision-language model for image captioning and visual question answering. Given an image it writes a short natural-language caption, or answers a question about the image when one is supplied. A widely used baseline for automatic captioning.
pharmapsychotic's CLIP Interrogator. Takes an image and produces a Stable-Diffusion-style text prompt by combining BLIP captioning with CLIP to rank likely subjects, artists, mediums and styles. Commonly used to reverse-engineer a prompt from an existing picture.
Monocular depth-estimation model trained on 595k labeled and 62M unlabeled images. Strong zero-shot generalization in indoor and outdoor scenes.
Black Forest Labs' flagship text-to-image model. Faster generation than FLUX.1 Pro at higher prompt adherence, with strong photorealism and reliable spatial composition. Runs as a hosted Replicate model.
FLUX 1.1 Pro in ultra mode. Up to 4 megapixel images with raw mode for photorealism.
Black Forest Labs' development model. Fast, high-quality image generation with LoRA support.
Google DeepMind's Imagen 4 text-to-image model, hosted on Replicate. Sharp detail, accurate text rendering, and strong prompt adherence across photographic and illustrated styles. Outputs up to 2K resolution.
Google's state-of-the-art video generation model. Simulates real-world physics with various visual styles.
Google's Veo 3 served via Replicate. Text-to-video with native synchronized audio generation. High-fidelity motion and scene coherence in short clips.
Latest Veo with image-to-video and context-aware audio
Tencent's HunyuanVideo, a 13B open-weights text-to-video diffusion transformer. Produces high-motion, photorealistic clips with smooth temporal consistency and was one of the first open models to rival closed systems on motion quality.
SDXL fine-tune by galleri5 for slick flat icons and pop constructivist graphics with thick edges. Trained on Bing generations, it produces clean single-subject icon art that suits app icons, badges and UI glyphs. Raster output, not true vector.
The highest-quality tier of Ideogram v3. Improved photorealism and prompt adherence over v2 while keeping Ideogram's best-in-class text rendering. Supports style references and inline text layout.
Whisper Large v3 wrapped with Hugging Face Transformers optimizations (batched inference, flash attention) for very high throughput. Transcribes hours of audio in minutes on a single GPU. Maintained by Vaibhav Srivastav. Good when you need bulk transcription fast.
InstantID makes realistic portraits of a real person from a single reference photo without per-user training. Combines a face encoder with an IdentityNet adapter on SDXL to keep identity and pose while following a text prompt, so it is fast and tuning-free.
Kuaishou's Kling v2.1, generating 5 and 10 second videos at 720p or 1080p from text or an image. Known for cinematic camera work and realistic physical motion, available on Replicate via the official KwaiVGI account.
Kuaishou's premium Kling v2.1 Master. Generates 1080p 5s and 10s clips from text or an image with strong dynamics and prompt adherence. The top tier of the Kling 2.1 family.
Cinematic video up to 15s with multi-shot and native audio
Most versatile: multi-reference images, video editing, native audio
MiniMax Hailuo 02 on Replicate. Text-to-video and image-to-video producing 6s or 10s clips at 768p standard or 1080p pro. Known for accurate real-world physics and stable motion.
Meta's music generation model. Generate up to 1 minute of music from text descriptions.
Turns any single selfie into a clean professional headshot using FLUX Kontext image editing. Keeps the person's face while swapping to business attire, a studio background and even lighting. Aimed at LinkedIn-style profile photos.
Recraft's faster, cheaper vector model. Outputs editable SVG paths instead of raster pixels, so logos, icons and flat illustrations scale to any size without blur. Defaults to a vector_illustration style and supports line art and engraving looks. Hosted API only.
Recraft's raster-to-vector converter. Takes a PNG or JPG and traces it into a clean SVG with precise vector paths, aimed at logos, icons and graphics that need to scale. Image-to-SVG counterpart to Recraft's text-to-SVG models.
Top-ranked for motion quality and visual fidelity
Runway's Gen-4 Turbo on Replicate. Fast image-to-video generation producing 5s and 10s clips at 720p with strong character and scene consistency across shots.
Meta Segment Anything 2. Promptable segmentation across images and video with temporal memory. Zero-shot, point/box/mask prompts, fast on a single H100.
fofr's sticker generator that outputs graphics with transparent backgrounds, so the result drops straight into chat apps or print sheets. Runs an SDXL-based pipeline at high speed (default 17 steps) and returns die-cut style art without manual background removal.
OpenAI's Whisper running on Replicate. General-purpose speech recognition trained on 680k hours of multilingual audio. Transcribes and translates 99 languages, robust to accents and background noise, and outputs plain text, segments, or word-level timestamps.
Background removal model from 851-Labs that outputs a clean cutout with a transparent alpha channel. One of the most-run background removers on Replicate, handles people, products and objects on busy backgrounds.
Product advertising photo generator. You upload a cut-out product shot and a prompt describing the scene; it places the product on a new generated background with matching lighting and shadows, so a plain packshot becomes an ecommerce or ad-ready hero image without a photo studio.
Plug-and-play motion module that animates personalized Stable Diffusion models without further training. 16-frame clips at 512x512.
ByteDance distillation of AnimateDiff. 4-step sampling for over 10x faster inference at comparable quality to multi-step base model.
Latent-diffusion model for general-purpose text-to-audio. Generates speech, music, and sound effects with a unified prior.
fal.ai's fully open-source 6.8B flow-based text-to-image model. Up to 1536x1536 resolution.
BiRefNet high-resolution dichotomous image segmentation for background removal. Bilateral reference network that produces sharp matting on fine detail like hair, fur and thin structures, often cleaner than older U2Net or rembg models.
BRIA AI's commercial background removal model trained on fully licensed data. Produces accurate cutouts for e-commerce and design, with attention to clean edges around products and people.
Microsoft Research pipeline by Ziyu Wan et al. that restores scanned old photos, removing scratches, dust and fading and optionally enhancing faces in one pass.
catacolabs Cartoonify turns a photo into a flat cartoon illustration. Takes a single image and returns a stylized cartoon version with clean shapes and bold outlines. Straightforward one-input model for avatars and profile pictures.
Content-Consistent Super-Resolution model. Reduces hallucination compared to typical diffusion-based upscalers while keeping perceptual quality high.
Resemble AI's open Chatterbox TTS. Zero-shot voice cloning from a short audio prompt with an exaggeration control for emotion intensity, plus CFG weight to balance pacing and fidelity.
High-resolution image upscaler with creative detail re-imagination via SD-based hallucination. Strong for photography and product shots.
Meta's 13B Code Llama tuned for instruction following. A faster mid-size option for code generation and completion, supporting infilling for inserting code at a cursor position. Served on Replicate per call.
Meta's 34B Code Llama tuned for instruction following. A balance of size and quality for code generation, completion, and explanation, with strong coverage of Python, JavaScript, and other common languages. Runs on Replicate per call.
Meta's largest Code Llama, a 70B Llama-2 derivative specialized for programming and tuned to follow instructions in chat form. Handles code generation, completion, and explanation across common languages. Served on Replicate as a per-call endpoint.
Meta's smallest Code Llama at 7B parameters, tuned for instruction following. The cheapest and fastest member of the family for quick code generation, completion, and infilling. Served on Replicate per call.
Robust face-restoration model using a transformer-based codebook prior. Handles severe degradation, occlusion, and old-photo restoration with adjustable fidelity-quality tradeoff.
CogVideoX-5B from Tsinghua/Zhipu AI, an open 5B-parameter text-to-video diffusion transformer. Generates 6-second 720p clips with coherent motion and is widely used in research for its open weights and reproducibility.
Zhipu/Tsinghua's 5B open text-to-video model. 720x480 @ 8fps, 6s clips, image-to-video variant available.
Tsinghua CogVLM2 19B with Llama-3 8B base plus 11B vision expert. Strong document understanding and visual reasoning, 8k context.
fofr's model generates the same character in many poses and angles from one reference image. Useful for building an avatar set or character sheet where the face and design stay consistent across outputs. Can produce a grid or individual images.
ControlNet conditioned on Canny edge maps. Preserves composition and outlines while restyling with Stable Diffusion 1.5 or SDXL backbones.
ControlNet conditioned on depth maps. Preserves the 3D scene layout while letting the prompt change style, lighting and content.
DDColor by Xiaoyang Kang et al. colorizes black-and-white photos using dual decoders that jointly learn pixel colors and semantic color queries, giving vivid and natural results on old images.
Quantized GGUF build of DeepSeek's 33B code model, trained on roughly 2T tokens that are about 87 percent code. Designed for repository-level completion and project-aware generation thanks to a 16k context window. Runs on Replicate as a per-call endpoint.
DeepSeek-VL 7B chat model. Vision-language model with hybrid vision encoder and strong real-world visual question answering performance.
Naver CLOVA Donut OCR-free document-understanding transformer. End-to-end JSON extraction from forms, receipts and invoices without explicit OCR.
Rednote Hilab Dots OCR. End-to-end document parsing model with layout, text and reading-order prediction in one transformer.
Generative Gaussian-splatting model for fast image-to-3D synthesis. Produces textured meshes in two minutes via differentiable rasterization.
JaidedAI EasyOCR. Simple Python OCR wrapper supporting 80+ languages with deep-learning text detection and recognition.
Ant Group EchoMimic. Lifelike audio-driven portrait animation with editable landmark conditioning for fine-grained motion control.
fofr's face stylizer converts a face photo into 3D render, emoji, pixel art, video-game character, claymation or toy styles. Uses InstantID plus style LoRAs on SDXL to keep the likeness while applying a chosen art style. Popular for fun avatars.
fofr's model turns a face photo into a die-cut sticker with a white border and transparent background. Uses InstantID to hold the likeness and outputs a clean PNG suitable for chat stickers or print. Simple single-image input.
SOTA Open source model trained on licensed data, transforming intent into structured control for precise, high-quality AI image generation in enterprise and agentic workflows.
Google FILM frame interpolation. Synthesizes high-quality intermediate frames between near-duplicate inputs, designed for large motion gaps.
Microsoft Florence-2 Large. Unified prompt-based vision foundation model for captioning, detection, segmentation and OCR with a single 770M-param backbone.
This is the fastest Flux endpoint in the world.
A premium text-based image editing model that delivers maximum performance and improved typography generation for transforming images through natural language prompts
A state-of-the-art text-based image editing model that delivers high-quality outputs with excellent prompt following and consistent results for transforming images through natural language
An opinionated text-to-image model from Black Forest Labs in collaboration with Krea that excels in photorealism. Creates images that avoid the oversaturated "AI look".
State-of-the-art image generation with top of the line prompt following, visual quality, image detail and output diversity.
PuLID identity customization running on FLUX.1-dev. Inserts a face from one reference photo into prompt-driven scenes using contrastive alignment, giving higher likeness and detail than SDXL-era ID adapters. Good for realistic avatars and character portraits.
The open-weight 12B rectified-flow transformer from Black Forest Labs. Close to FLUX Pro quality with a guidance-distilled checkpoint released under a non-commercial license. The most widely fine-tuned base in the FLUX family.
The fastest FLUX model from Black Forest Labs, distilled to produce images in 1 to 4 steps. Apache 2.0 licensed for commercial use. Built for high-volume generation and real-time previews.
FLUX structural control via Canny edge maps. Preserve composition while restyling.
Open-weight edge-guided FLUX model from Black Forest Labs. Extracts Canny edges from a control image and regenerates it from your prompt while holding the original composition and outlines, so you can restyle a scene without changing its structure.
FLUX structural control via depth maps. Keep 3D scene layout while changing style/content.
Open-weight depth-guided FLUX model from Black Forest Labs. Derives a depth map from the control image and regenerates from your prompt while preserving 3D spatial layout, useful for re-texturing rooms, products, or scenes without moving objects.
Black Forest Labs' inpainting/outpainting model for FLUX. Fill masked regions with prompt-guided content.
Black Forest Labs' open-weight inpainting and outpainting model, guidance-distilled from FLUX.1 Fill [pro]. You supply an image plus a mask and a prompt; it fills the masked region or extends the canvas with prompt-guided content that matches lighting and texture.
Open-weight version of FLUX.1 Kontext by Black Forest Labs. Instruction-based editing: pass an input image and a plain text edit ('change the jacket to red', 'remove the person on the left') and it applies the change while keeping the rest of the scene and identity consistent.
FLUX image-variation adapter. Generate variations and remixes from a reference image.
FLUX.1-dev inpainting wrapper that fills masked parts of an image from a prompt. Useful when you want FLUX-quality fills with a simple image plus mask plus prompt interface and adjustable mask strength.
Runway's Gen-4 Image model with references. Use up to 3 reference images to create the exact image you need. Capture every angle.
Tencent ARC face-restoration GAN. Reconstructs realistic facial detail in low-quality or compressed photos using a pretrained StyleGAN2 prior.
Global-Local Path Networks depth-estimation model. Combines hierarchical transformer encoder with selective feature fusion for sharp boundaries.
Faster cheaper Veo 3 with audio
Faster Veo 3.1 with image-to-video and audio
StepFun GOT-OCR 2.0. Unified end-to-end OCR-2.0 model handling text, formulas, charts, sheet music and geometric shapes in one architecture.
OpenAI's latest image generation model with better instruction following and adherence to prompts
OpenAI's state-of-the-art image generation model. Create and edit images from text with strong instruction following, sharp text rendering, and detailed editing.
OpenAI's fastest model for high-quality, everyday image generation. Generate and edit images from text and image inputs with strong instruction following and sharp text rendering.
OpenAI's most capable image model, built for workflows where editing precision matters most. Generate and edit images from text and image inputs with strong instruction following, sharp text rendering, and detailed control.
IBM Granite 20B Code Instruct. Larger Granite code model balancing quality and inference cost for enterprise CI/CD code-review automation.
IBM Granite 8B Code Instruct. Trained on permissively-licensed code, strong on multi-language code completion and instruction-following.
SOTA image model from xAI
xAI's Grok Imagine Image 2.0 — text-to-image generation and editing with a quality control and output up to 2k
xAI video with native audio and lip-sync, up to 15s
Grounding DINO plus SAM. Open-vocabulary text-prompted detection and segmentation in one pipeline for fully-automatic mask generation.
Minimax model for realistic human motion and VFX
This is an optimised version of the hidream-l1 model using the pruna ai optimisation toolkit!
Html To Image on Replicate (intelligent-utilities/html-to-image)
Generate high-quality 2K resolution images from text prompts
A powerful native multimodal model for image generation (PrunaAI squeezed)
Tencent's Hunyuan3D 2.0 image-to-3D pipeline. Two-stage shape and texture generation producing high-resolution textured meshes.
Refreshed Hunyuan3D 2.1 with improved texture fidelity and PBR-material support. Image-to-3D with textured GLB output.
Lvmin Zhang's IC-Light packaged by zsxkib. Relights a product or portrait from a text prompt or a chosen light direction while keeping the subject's shape and detail intact, so a flat product photo can be given studio, window, or dramatic side lighting without re-shooting.
Hugging Face Idefics3 8B. Llama-3 based open-source vision-language model with strong document QA and chart-understanding performance.
Ideogram's text-to-image model known for accurate in-image text and typography. Handles posters, logos, and signage where other models garble lettering. Supports magic prompt expansion and multiple aspect ratios.
A fast image model with state of the art inpainting, prompt comprehension and text rendering.
Like Ideogram v2, but faster and cheaper
Like Ideogram v2 turbo, but now faster and cheaper
Balance speed, quality and cost. Ideogram v3 creates images with stunning realism, creative designs, and consistent styles
Ideogram's fast v3 model, the fastest and cheapest tier of the v3 family. Known for accurate in-image text rendering and reliable typography, which most diffusion models still get wrong. Hosted API only.
Balance speed, quality and cost. Ideogram v4 creates images with stunning realism, creative designs, and consistent styles
The highest quality Ideogram v4 model. v4 creates images with stunning realism, creative designs, and consistent styles
IDM-VTON virtual try-on from the CVPR 2024 paper. You give it a photo of a person and a garment image; it dresses the person in that garment while preserving pose, body shape, and the garment's pattern and text. Good for showing a clothing product on a model for an ecommerce listing.
Minimax's first image model, with character reference support
Commercial-ready, trained entirely on licensed data, text-to-image model. With only 4B parameters provides exceptional aesthetics and text rendering. Evaluated to be on par to other leading models in the market
Berkeley InstructPix2Pix. Edits an image from natural-language instructions in a single forward pass. Trained on GPT-3 plus Stable Diffusion synthetic pairs.
Tencent's face-identity conditioning adapter for SD/SDXL. Face embedding + CLIP for ID-consistent generation.
DeepSeek's unified multimodal model. Decouples vision encoding for both understanding and generation tasks.
Kling 2.5 Turbo Pro: Unlock pro-level text-to-video and image-to-video creation with smooth motion, cinematic depth, and remarkable prompt adherence.
Open-weights 82M-parameter TTS. Punches above its size class on naturalness benchmarks at a fraction of the inference cost of larger models.
Kuaishou's bilingual (CN/EN) latent diffusion text-to-image model with strong text rendering.
Kuaishou LivePortrait. Efficient portrait animation driven by reference videos with stitching, retargeting and motion-control parameters.
Meta Llama 3.2 11B Vision served via Ollama on Replicate. Open-weights multimodal model for image captioning, document and chart reading, and visual question answering.
Meta Llama 3.2 90B Vision. Largest open-weights Llama vision model. Strong visual reasoning, chart, OCR and document understanding.
LLaVA 1.6 (LLaVA-NeXT) with a Vicuna-13B language backbone. Open vision-language chat model that describes images, answers questions, reads charts and reasons about scenes. Version 1.6 adds higher input resolution and better OCR and reasoning than LLaVA 1.5.
SDXL fine-tune by mejiabrayan aimed at logo generation. Produces simple, centered mark and wordmark style logos from a text prompt. Useful for quick brand concepts and mockups. Raster PNG output, not vector.
Lotus generative depth model. Treats depth as a generation task using a diffusion model, producing higher-fidelity depth on textured surfaces.
Lightricks' 2B DiT video model. Realtime generation on consumer GPUs (~6s @ H100, 24fps).
Artistic and high-quality visuals with improved prompt adherence, diversity, and definition
Fast affordable video with I2V support
Luma Labs' Ray-2 at 720p on Replicate. Text and image-to-video producing 5s and 9s clips with fast, coherent motion and strong camera control. Successor to Dream Machine.
ByteDance MagicAnimate. Temporally consistent human-image animation driven by a DensePose motion sequence with strong identity preservation.
UIUC Magicoder S CL 7B. CodeLlama-7B fine-tuned with OSS-Instruct synthetic data. Strong HumanEval Plus and MBPP Plus performance per parameter.
MAGNeT is Meta's masked, non-autoregressive audio generator. Instead of predicting tokens left to right it fills masked audio tokens in parallel over a few decoding steps, so generation is faster than autoregressive MusicGen at similar quality. This Replicate packaging exposes the text-to-music and text-to-sound variants.
Detail-hallucinating upscaler in the Magnific style. Adds plausible high-frequency texture using a Stable Diffusion refiner conditioned on the low-res input.
ETH Zurich Marigold. Diffusion-based monocular depth-estimation model fine-tuned from Stable Diffusion with strong fine-detail recovery.
Meta Mask2Former universal image-segmentation transformer. Single architecture for panoptic, instance and semantic segmentation tasks.
Intel MiDaS v3.1 relative depth-estimation model. Robust zero-shot single-image depth across diverse domains and resolutions.
OpenBMB MiniCPM-V 2.6. 8B vision-language model with strong single-image, multi-image and video understanding plus OCR capabilities.
MiniMax's video generation model. Fast, high-quality video output with text-to-video capabilities.
Genmo's 10B open-weights text-to-video model. AsymmDiT architecture, 5.4s @ 480p.
Genmo's Mochi 1, an open text-to-video model with high-fidelity motion built on a 10B Asymmetric Diffusion Transformer. Released under Apache 2.0, it was the largest open video model at launch and is strong on smooth, physically plausible movement.
Allen AI Molmo 7B-D on Replicate. Open vision-language model trained on the PixMo data, notable for pointing at and locating objects in images, not just describing them.
Moondream2 small vision-language model on Replicate. About 1.9B params, designed to run on edge devices, handles captioning, visual QA and short OCR-style reads at very low cost.
Tencent MuseTalk real-time lip-sync model. Audio-driven mouth-region editing in latent space at 30+ fps on a single GPU.
Google's latest image editing model in Gemini 2.5
Google's fast image generation model with conversational editing, multi-image fusion, and character consistency
Google's fastest image generation model — the lightweight, low-cost version of Nano Banana 2, for rapid creation and editing
Google's state-of-the-art image generation and editing model (Gemini 3 Pro Image): sharp text rendering, 1K to 4K output.
Allen AI olmOCR. Open-source 7B vision-language model fine-tuned for high-fidelity document parsing including math, code and tables.
OOTDiffusion virtual try-on. Takes a clear photo of a model and an upper-body garment and renders the garment onto the person using an outfitting-fusion diffusion approach that keeps the garment's texture and the model's pose. A lightweight alternative to IDM-VTON for clothing previews.
CMU OpenPose multi-person 2D pose estimator. Real-time keypoint detection for body, hand, face and foot using Part Affinity Fields.
MyShell OpenVoice v2. Multilingual zero-shot voice cloning with accurate tone-color reproduction and style/emotion control.
A sub 1 second text-to-image model built for production use cases.
Baidu PaddleOCR v3 PP-OCR pipeline. Lightweight detector plus recognizer optimized for production use with 80+ language support.
Hugging Face Parler-TTS Mini. Lightweight TTS conditioned on a natural-language style description for fine-grained control over voice characteristics.
Phind CodeLlama 34B v2. Highly tuned CodeLlama variant focused on retrieval-augmented developer assistant workflows.
Tencent ARC PhotoMaker. Identity-preserving stylized photo generation from a stacked-ID embedding. Realistic re-styling of a subject in seconds.
High-quality image generation model optimized for creative professional workflows and ultra-high fidelity outputs
Accelerated variant of Photon prioritizing speed while maintaining quality
Physics-accurate video generation up to 1080p
Playground AI's diffusion model tuned for aesthetics. SDXL-based architecture trained on the EDM formulation, rated by users as more visually pleasing than SDXL in their study. Strong on vivid color and contrast.
OpenAI Point-E text-to-point-cloud system. Fast 3D point-cloud generation from text, optionally lifted to a mesh via marching cubes.
An image generation foundation model in the Qwen series that achieves significant advances in complex text rendering.
A next-generation image generation and editing model from Alibaba's Qwen team. Supports text-to-image and image editing with strong text rendering, especially for Chinese.
The pro version of Qwen Image 2 from Alibaba's Qwen team. Enhanced text rendering, realism, and semantic adherence for high-quality image generation and editing.
Qwen Image 2512 is an improved version of Qwen Image with more realistic human generation, finer textures, and stronger text rendering
Qwen-Image-3.0 generates and edits images with accurate text rendering, complex layouts, and photographic detail.
Qwen-Image-3.0-Pro generates and edits images with dense, accurate text rendering, complex multi-element layouts, and photographic detail.
Alibaba Qwen's instruction-driven image editor. Extends Qwen-Image's text-rendering ability to editing, so it handles both semantic edits (swap objects, change style) and precise text edits inside the image while preserving the original layout and unedited regions.
Alibaba Qwen2-VL 7B served on Replicate. Open-weights vision-language model that chats about images and video, with dynamic resolution and strong OCR and document QA for its size.
A unified Text-to-Speech demo featuring three powerful modes: Voice, Clone and Design
Style consistent animated pixel art sprite generation
AI-Upscaler that increases image resolution up to 4x while preserving texture and detail. Trained on synthetic and real data to reduce common ESRGAN artifacts.
Real-ESRGAN variant fine-tuned for anime, manga, and illustrated artwork. 4x upscaling with cartoon-aware artifact suppression.
Affordable and fast images
State-of-the-art image generation optimized for design and branding. SVG vector output support.
Recraft's v3 variant that outputs vector SVG instead of raster pixels. Generates clean, editable logos, icons and illustrations that scale without quality loss, which is unusual among image models. Hosted API only.
Recraft's latest image generation model, built around design taste. Strong prompt accuracy, art-directed composition, and integrated text rendering. Fast and cost-efficient at standard resolution.
Recraft's latest image generation model at ~2048px resolution. Same design taste and prompt accuracy as V4, with higher resolution for print-ready and large-scale work.
Recraft V4 SVG turns a text prompt into production-ready SVG vector art with clean geometry and structured, editable layers. Newer generation than V3 with improved design quality on logos, icons and flat illustration. Returns true vector paths, not a traced bitmap.
Recraft's latest image generation model, built around design taste. Strong prompt accuracy, art-directed composition, and integrated text rendering. Fast and cost-efficient at standard resolution.
Recraft's latest image generation model at ~2048px resolution. Same design taste and prompt accuracy as V4.1, with higher resolution for print-ready and large-scale work.
A faster, lighter Recraft image generation model optimized for high-volume and production pipelines. Same design taste as V4.1, built for speed and throughput.
A faster, lighter Recraft image generation model at ~2048px resolution, optimized for high-volume production. Design taste and prompt accuracy at high resolution with better throughput.
Open-source background-removal tool wrapping U2Net. Produces alpha mattes for photos, products and people with no manual masking.
Lucataco's remove-bg, a rembg-based background removal model that returns the foreground subject on a transparent background. A popular, low-cost option for quick product and portrait cutouts.
Object removal and cleanup using LaMa inpainting. Paint a mask over an unwanted object, logo or person and the model fills the area with plausible background, erasing it from the photo.
Real-Time Intermediate Flow Estimation. Doubles or quadruples FPS of an existing video via learned optical-flow-based frame interpolation.
Stable-Diffusion-based real-time music generator. Operates on spectrogram images then resynthesizes audio, enables seamless transitions and looping.
Retrieval-based Voice Conversion. Converts a source recording into a target speaker's voice, preserving pitch, prosody and rhythm.
Stylized audio-driven talking-head generator. Synthesizes 3D motion coefficients from audio to animate a single portrait image with natural head movements.
SDXL fine-tune by fofr trained on Apple emoji art. Generates rounded, glossy emoji and icon style graphics from a text prompt, useful for custom reactions, app glyphs and playful icon sets. Raster output.
SDXL inpainting built on the Hugging Face Diffusers inpaint pipeline. Replace or remove masked regions of an image with prompt-conditioned content at SDXL resolution. A cheap, well-understood baseline for object removal and local edits.
Meta's SeamlessM4T multimodal translation model. Takes speech or text input and produces transcription or translation across about 100 languages, including speech-to-text and speech-to-speech. One model covers ASR plus cross-lingual translation without chaining separate systems.
Meta SeamlessM4T v2 Large. Universal multilingual translation across 100+ languages with text-to-text mode for documents and chat.
A faster and cheaper version of Seedance 1 Pro
Budget ByteDance video, fast and cheap
ByteDance video with T2V and I2V, up to 1080p
ByteDance's unified text-to-image generation and editing model with up to 4K resolution.
ByteDance Seedream 4.5: upgraded image generation and editing with stronger spatial understanding and world knowledge.
ByteDance Seedream 5 Lite: fast, affordable image generation and editing at 2K or 3K resolution.
NVIDIA SegFormer-B5 semantic segmentation. Hierarchical transformer encoder with lightweight MLP decoder, strong ADE20k and Cityscapes results.
OpenAI Shap-E text/image to 3D. Generates implicit neural representations renderable as textured meshes or NeRFs.
Spark efficient TTS with disentangled control over speaker, content and style. Strong cross-lingual zero-shot performance.
Stability AI's Stable Audio Open generates short audio from text prompts, tuned for sound effects, drum loops, instrument riffs and production elements rather than full songs. Open weights, latent diffusion over a 44.1kHz audio autoencoder, with a configurable seconds_total up to about 47 seconds.
A text-to-image model with greatly improved performance in image quality, typography, complex prompt understanding, and resource-efficiency
Stability AI's 8B MMDiT-based flagship. Open weights at 1MP with improved typography and prompt adherence over SDXL. The largest model in the SD 3.5 release line.
Distilled, 4-step version of SD 3.5 Large from Stability AI. Keeps most of the large model's quality and text rendering at a fraction of the inference time. Open weights under the Stability Community License.
2.5 billion parameter image model with improved MMDiT-X architecture
Stability AI's SDXL model via Replicate. High-quality image generation with extensive customization.
BigCode StarCoder2 15B code-generation flagship. Trained on 4T tokens of Stack v2 data with grouped-query attention and 16k context.
StarVector 8B is a multimodal model that generates SVG code directly from an input image. Rather than tracing pixels, it predicts the SVG markup token by token, which can produce compact, semantically structured paths for icons and simple graphics. Research model from the StarVector project.
Style-based TTS using diffusion and adversarial training. Human-level naturalness in zero-shot voice synthesis from a 3-5s reference clip.
Suno's text-prompted generative audio model. Speech, music, ambient sound and effects with non-verbal cues like laughter or sighs.
SUPIR by Fanghua Yu et al. is a large diffusion-based restoration model that recovers photorealistic detail from heavily degraded images and can be steered with a text prompt describing the scene.
SUPIR (Scaling-Up Image Restoration) photo-real restoration model. Combines SDXL prior with language-guided controls for severely degraded inputs.
Transformer-based image super-resolution using Swin-V2 attention. Handles classical, lightweight, real-world, and compressed-input variants with 2x/4x upscaling.
SwinIR transformer-based super-resolution and denoising applied per-frame to video. Handles classic, real-world and lightweight upscaling.
Tencent ToonCrafter generative cartoon interpolation model. Synthesizes smooth in-between frames between two cartoon keyframes.
Multi-voice expressive TTS. Slow but high-quality with strong prosody and natural intonation. Trained for long-form narration use cases.
Microsoft TRELLIS image-to-3D model. Generates textured 3D assets in GLB or Gaussian-splat format from a single reference image.
Tencent V-Express. Audio-driven portrait animation with progressive training, weak-condition learning, and expressive lip sync.
PNG/JPG to SVG vectorizer built on VTracer, the open-source raster-to-vector engine. Traces a bitmap into layered color regions and clean paths with controls for color count, area threshold and path simplification. Fast, deterministic alternative to model-based vectorizers.
Tencent VideoCrafter latent video diffusion. Text-to-video and image-to-video generation up to 2s at 1024x576 with strong motion fidelity.
The fastest Wan 2.2 text-to-image and image-to-video model
This model generates beautiful cinematic 2 megapixel images in 3-4 seconds and is derived from the Wan 2.2 model through optimisation techniques from the pruna package
Ultra-cheap I2V. Upload image and animate it.
Ultra-cheap T2V for pennies
Generate and edit images with Alibaba's Wan 2.7
Generate and edit high-quality images with Alibaba's Wan 2.7 Pro with 4K output, thinking mode, text-to-image, multi-image editing, and image set generation
(50% off until Aug 30!) - Wan 3.0 generates video from a text prompt or a starting image, with cinematic motion and support for 480p, 720p, and 1080p output up to 30 seconds.
Lip-sync model that re-syncs a target video's lip movement to an arbitrary audio track. Robust to identity and language with a lip-sync discriminator loss.
Whisper Large v3 Turbo combined with pyannote 4.0 for speaker diarization, returning who-said-what segments with timestamps. Built by Thomas Mol. Returns a clean JSON of speaker-labeled segments, handy for meeting notes, interviews, and podcasts.
WhisperX (Large v3) with forced alignment for accurate word-level timestamps plus optional speaker diarization. Uses VAD to cut long files into segments and a wav2vec2 aligner to pin each word to its exact time. Useful for subtitles and per-speaker transcripts.
WizardLM WizardCoder 33B v1.1. Evol-Instruct fine-tune of DeepSeek-Coder-33B with strong code-generation benchmark performance.
Intel ZoeDepth metric depth-estimation model. Combines relative-depth pretraining with metric fine-tuning for absolute distance in real units.
Still runnable, superseded by a newer model. Not counted above, and hidden by default in the catalog.
Listed for reference. These models have no verified price or are no longer served, so the API does not run them.
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