Models

DeepGen-1.0: five image jobs in five billion parameters, and where to run it

PaddleOCR: Korean text lifted straight off a photograph, and where to run it

GLM-OCR: a 0.9B document reader ranked first on OmniDocBench, and where to run it

SwinIR: the enlargement baseline everyone measures against, and where to run it

Swin2SR: enlarging a photo two or four times over, and where to run it

Speech Recognition (Clips): timed transcripts for a whole list of clips, and where to run it

Speech Recognition (Video): one video in, one transcript out, and where to run it

ControlNet XL Union: six kinds of control image in one model, and where to run it

ControlNet XL Canny: keeping a photo's outlines while changing everything else, and where to run it

YOLO-S (Fashion Item Detector): 46 garment and trim categories, and where to run it

YOLO-S: object detection with no convolutions at all, and where to run it

FLUX.2 KLEIN 4B: generating and editing from one model on a consumer card, and where to run it

FLUX Schnell: a text-to-image model that finishes in four steps, and where to run it

Gemma 4 31B: frontier reasoning over a quarter-million tokens, and where to run it

Gemma 4 E2B: a phone-sized model that also hears, and where to run it

SeedVR2 7B: the higher-fidelity restoration checkpoint, and where to run it

SeedVR2 3B: restoring damaged video in a single pass, and where to run it

Helios Distilled: the same minute of video, generated faster, and where to run it

Helios Base: minute-long video from a text description, and where to run it

RF-DETR Keypoint: seventeen joints per person from one photo, and where to run it

RF-DETR Seg Medium: pixel outlines instead of rectangles, and where to run it

RF-DETR Medium: fast, accurate boxes over 80 everyday categories, and where to run it

DETR (License Plate Detector): spotting plates in traffic photos, and where to run it

DETR (Face Detector): a one-class fine-tune for finding faces, and where to run it

DETR: transformer-based detection of everyday objects, and where to run it

QWEN-Layered: splitting a flat photo into transparent layers, and where to run it

QWEN-Inpaint: mask one region, edit only that, and where to run it

QWEN-2511: instruction-based photo editing that keeps the face, and where to run it

SAM 3.1 (Video): Segmentation for videos

SAM 3.1 (Scene): current checkpoint in Meta's concept segmentation line

SAM 3: Tell it what to detect & separate.

SAM 2: Accurate Segmentation

DeepSeek-OCR: where to run it, and what it's good at