AIAny
AI Model2026
Icon for item

M87 (early-preview)

Enhances KREA-2 Turbo image generations with an aesthetic LoRA trained on a curated 100-image dataset to add stronger composition, richer lighting, softer atmosphere and refined textures; trigger with --preview for art-directed, cinematic outputs in text-to-image pipelines.

Introduction

Most base text-to-image models trade-off raw fidelity for generic coverage; small aesthetic adapters can shift that balance toward a consistent, art-directed look without replacing the base model. M87 is designed as a lightweight visual enhancement layer that nudges KREA-2 Turbo toward cinematic composition, richer lighting and finer film-like texture while keeping subject and concept flexibility.

Key Capabilities
  • Targeted aesthetic uplift: Trained on a curated 100-image aesthetic set, M87 amplifies composition, tonal grading and grain-like texture so outputs read more cinematic and polished, rather than changing semantic content.
  • Model-agnostic enhancement layer for KREA-2 Turbo: Functions as a LoRA/adapter that overlays the base model behavior—useful when you want consistent visual language across generations without retraining the base model.
  • Simple trigger and predictable effect: The author recommends the trigger token --preview to produce the intended stylistic shift, making prompt engineering straightforward for pipelines and UIs.
  • Lightweight and focused: Because it’s trained on a small, curated set, the adapter is compact and fast to apply in inference, suitable for iterative creative workflows.
Who it's for and trade-offs

Great fit if you want more art-directed, cinematic or filmic outputs from KREA-2 Turbo with minimal workflow changes — illustrators, concept artists, and creative prototypers who rely on consistent aesthetic tone will benefit most. Look elsewhere if you need a model that expands semantic capability (new subjects, languages) or if you require guarantees against aesthetic bias: the small training set can imprint a specific visual flavor and may bias skin tones, composition tropes, or color grading. Also requires the KREA-2 Turbo base (or compatible adapter support) to produce the intended effect.

Notes: the card lists an Apache-2.0 license and marks the release as early-preview. Expect the strongest gains when used as an overlay during inference rather than as a standalone base replacement.

Information

Categories

More Items

Hugging Face
AI Model2025

Performs open-vocabulary promptable segmentation and tracking on images and videos, returning instance masks and unique IDs from short noun-phrase or exemplar prompts. Trained on a 4M-concept, 52M-mask dataset; uses a presence head and a decoupled detector–tracker design, with near real-time inference for multi-object video.

Hugging Face
AI Model2026

Generates high-resolution images directly in pixel space and can be fine-tuned, without architectural changes, for monocular depth estimation and image restoration/upscaling. Built as a 3B-parameter diffusion transformer (no VAE), with shipped depth and 4× restoration fine-tunes; default outputs ~1024×1024.

GitHub
AI Audio2025

Generates full songs from lyrics and style prompts by first writing an editable melody-and-chord score and then rendering vocals and accompaniment. Unifies symbolic planning and audio synthesis in one pipeline, enabling readable score inspection, zero‑shot covers, and agent-driven editing.