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Models

Sogni Studio supports the full open-weight diffusion lineage — Stable Diffusion 1.x and 2.x, SDXL, SD3 — plus newer transformer-style image, video, and audio models. Browse the full lineup in the Model Explorer or import your own.

#Image models

  • Flux family — Flux.1 [schnell], Flux.1 Kontext [dev], Flux.1 Krea [dev], Chroma v.46/v.48, Flux.2 [dev]. State-of-the-art prompt adherence, scene complexity, and style range. Flux.2 adds context-image conditioning (up to three reference images).
  • SDXL & SDXL-Turbo / Lightning — 1024×1024 native, fast distilled variants for 1–4 step generation.
  • SD3 — triple text encoder (CLIP + OpenCLIP + T5), MMDiT denoiser, long prompt support up to 154 tokens.
  • SD 1.5 / 2.x lineage — hundreds of community-tuned variants; lightweight and fast.
  • Z-Image — newer fast-inference family (z_image_turbo_bf16, z_image_bf16). Great default for quick iteration.
  • Sogni-tuned — 🅂 Sogni.XL, Sogni Artist, Sogni Photo.

#Image editing models

  • Qwen Image Edit 2511 and Qwen Image Edit Plus — vision-language editing. Prompt-based image edits while preserving identity and composition. Used under the hood by the Generative Filters in Enhancing Images and by chat-driven edits.

#Video models

  • LTX-2.3 — image-to-video, fast.
  • LTX-2.3 Dev — text-to-video, latest generation with longer coherent shots.
  • Wan 2.2 — first-party Sogni video model.
  • Distilled variants of LTX-2.3 for faster turnaround at slight quality cost.

#Audio models

  • ACE-Step (turbo + SFT) — music generation with lyrics, BPM, key, scale, time-signature, and a curated library of style presets. See Creating Audio.

#Premium Spark models

Some hosted closed-weight models require Premium Spark (purchased via credit card or App Store IAP), not free Spark:

  • OpenAI GPT Image 2
  • ByteDance Seedance 2.0

These appear in the Model Explorer when you're connected to Fast Supernet and have a Premium Spark balance.

#Where models run

Studio has two processing modes; not every model runs in both:

On-Device.Supernet.

The Model Explorer's atom icon shows which models are available on the active Supernet (Fast vs Relaxed). On-device-only models are visible in the Explorer regardless of network state.

#Quantization

For on-device use, many models are available in [6-bit], [4.5-bit], and [4-bit] quantizations — three times lighter than the full versions, with minor quality differences. Useful on Macs with less than 16 GB unified memory. The full-precision versions are the default on machines with the headroom.

#Importing your own models

Sogni can convert and run your own Stable Diffusion checkpoints. See Importing Stable Diffusion Models for the SafeTensors / CKPT → Diffusers → CoreML pipeline.

#See also

Available Models— current catalog.Model Types— explanation of each family.Model Storage & Deleting Models— where they live on disk.About Switching Models on Supernet— switching without downloading.Importing Stable Diffusion Models— bring your own.

▶️ Tutorial video: Sogni AI Model Explorer: A World of Creative Styles