AI Image Upscalers & Restorers

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.

FLUX 1.1 Pro in Ultra mode by Black Forest Labs. Generates up to 4 megapixel images with a raw mode for less processed, more natural-looking photography. Best FLUX option when output resolution and fine detail matter.

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 Imagen 4. Text-to-image with strong photorealism and improved typography support.

Premium Imagen 4 tier. Highest fidelity, prompt adherence and typography quality from Google.

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.

Ideogram's flagship text-to-image model with industry-leading text rendering and prompt adherence.

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.

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.

ResNet50 from the TIA Toolbox model zoo, trained on the Kather100K dataset of 100,000 hematoxylin-and-eosin colorectal histology patches. It classifies a tissue tile into one of nine categories such as tumor epithelium, stroma, lymphocytes, mucus, smooth muscle, debris, adipose, background and normal mucosa. Research use only, not a diagnostic device.

The latest Midjourney model. Industry-leading aesthetic quality and prompt adherence for image generation.

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 text-to-image model that topped the Hugging Face text-to-image arena at release. Strong long-text rendering, brand-style consistency, and precise control over image dimensions and color palettes.

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.

Stability AI's SDXL 1.0 with the optional refiner. The 3.5B base plus 6.6B ensemble UNet that became the default open image model before FLUX. Good for fine-tuning and LoRAs, broad community support.

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.

Vision Transformer (ViT) fine-tuned on chest x-ray images for multi-class thoracic findings. Given a single frontal chest radiograph it returns class probabilities across several disease categories. One of the more downloaded chest x-ray classifiers on the Hugging Face Hub. Research and education only, not a diagnostic tool.

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.

Image classifier by prithivMLmods that labels a bone x-ray as Fractured or Not Fractured. Given a single radiograph it returns binary class scores. One of the more downloaded fracture classifiers on the Hub. Research and education only, not a diagnostic tool.

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.

BRIA's first commercial-safe background-removal model. Trained on fully-licensed data, suitable for production e-commerce and design pipelines.

BRIA's professional background-removal model trained on fully-licensed data. Commercial-safe.

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.

Robust face-restoration model using a transformer-based codebook prior. Handles severe degradation, occlusion, and old-photo restoration with adjustable fidelity-quality tradeoff.

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.

OpenAI's latest image generation model. Excellent at following complex prompts with high fidelity.

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.

DINOv2-base backbone fine-tuned for skin-disease image classification across 31 conditions, including basal cell carcinoma, lichen planus, lupus, herpes simplex, impetigo, leprosy variants and several genodermatoses. Broader than melanoma-only models. Research and educational use only, not a diagnostic.

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

Try-on pipeline aimed at ecommerce listings. You give it a photo containing clothing on a body pose plus a separate face image; it composes a person wearing that clothing with the supplied face, controllable by prompt, CFG, and output size. Useful for generating on-model product shots from a flat garment image.

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

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.

Google FILM frame interpolation. Synthesizes high-quality intermediate frames between near-duplicate inputs, designed for large motion gaps.

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 fastest Flux model. Generate images in under 2 seconds. Great for prototyping.

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.

Black Forest Labs' fastest open-weights image model. Apache-2.0 licensed, ~1-4 step inference.

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.

Tencent ARC face-restoration GAN. Reconstructs realistic facial detail in low-quality or compressed photos using a pretrained StyleGAN2 prior.