Geração de Imagens

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.

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.

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.

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.

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.

Runway's Gen-4 Image model with references. Use up to 3 reference images to create the exact image you need. Capture every angle.

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.

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

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)

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

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

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

Artistic and high-quality visuals with improved prompt adherence, diversity, and definition

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.

A sub 1 second text-to-image model built for production use cases.

High-quality image generation model optimized for creative professional workflows and ultra-high fidelity outputs

Accelerated variant of Photon prioritizing speed while maintaining quality

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.

Style consistent animated pixel art sprite generation

Affordable and fast images

State-of-the-art image generation optimized for design and branding. SVG vector output support.

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'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.

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.

A text-to-image model with greatly improved performance in image quality, typography, complex prompt understanding, and resource-efficiency

2.5 billion parameter image model with improved MMDiT-X architecture

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

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

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.

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.

High-resolution image upscaler with creative detail re-imagination via SD-based hallucination. Strong for photography and product shots.

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.

Generative Gaussian-splatting model for fast image-to-3D synthesis. Produces textured meshes in two minutes via differentiable rasterization.

Enhanced Super-Resolution GAN, the original 2018 architecture. Produces sharp 4x upscales with strong perceptual quality on natural images.

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.

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.

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.

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.

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.

Berkeley InstructPix2Pix. Edits an image from natural-language instructions in a single forward pass. Trained on GPT-3 plus Stable Diffusion synthetic pairs.

Kuaishou's bilingual (CN/EN) latent diffusion text-to-image model with strong text rendering.

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.

Detail-hallucinating upscaler in the Magnific style. Adds plausible high-frequency texture using a Stable Diffusion refiner conditioned on the low-res input.

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.

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.

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.

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.

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.

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.

OpenAI Shap-E text/image to 3D. Generates implicit neural representations renderable as textured meshes or NeRFs.

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.

Stability AI's SDXL model via Replicate. High-quality image generation with extensive customization.

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.

Microsoft TRELLIS image-to-3D model. Generates textured 3D assets in GLB or Gaussian-splat format from a single reference image.