Text → image · Uncensored
ImageNewUncensored

MOSS-Image

Uncensored image generation with 8-step and standard presets, English and Chinese prompts, and experimental layout control.

No GPU. No setup. Cancel anytime.

Sample output from MOSS-Image

About

MOSS-Image SFT is OpenMOSS’s 5-billion-parameter text-to-image model. Describe a scene in English or Chinese, use tag prompts, or supply an experimental JSON layout to guide object placement and writing.

Choose the 8-step DMD preset for fast iteration at guidance 1, or standard SFT at 50 steps and guidance 3. Both use Euler sampling and SGM Uniform, starting at 1024 × 1024.

Import compatible Personal LoRAs through My LoRAs and use them on either preset. The 8-step preset applies personal adapters after its built-in DMD adapter.

Both MOSS presets are uncensored, supporting private mature-theme creativity alongside everyday image generation.

Choose your MOSS preset

Both presets generate from text and accept compatible Personal LoRAs. Select 8-Step DMD for quick iteration or Standard SFT for the full sampling recipe.

Variant Details From
Standard SFT · 50 steps Quality
moss_image_sft_int8_convrot
Input: Captions · tags · experimental JSON layouts
Resolution: 512–2048 px · multiples of 16
Steps: 50 default · 50–100
Guidance: 3 default · 3–6
8.86 Spark · $0.044 Create →
8-Step DMD Fast
moss_image_sft_dmd8_int8_convrot
Input: Captions · tags · experimental JSON layouts
Resolution: 512–2048 px · multiples of 16
Steps: 8 · fixed
Guidance: 1 · fixed
1.25 Spark · $0.0063 Create →

Pricing

Use pay-as-you-go Spark packs for each render (1 Spark = $0.005), or choose a flat-rate Sogni plan for credit-free fair-use generation in the app.

Variant / configuration Spark USD
Standard SFT · 50 steps · 1024 × 1024 · 50 steps 8.86 Spark $0.044
Standard SFT · 50 steps · 2048 × 2048 · 50 steps 48.4 Spark $0.24
8-Step DMD · 1024 × 1024 · 8 steps 1.25 Spark $0.0063
8-Step DMD · 2048 × 2048 · 8 steps 5.46 Spark $0.027

API

One Sogni API key reaches every model on the Supernet — call MOSS-Image with the exact model id for the variant you want.

import { SogniClient } from '@sogni-ai/sogni-client';

const client = await SogniClient.createInstance({
  appId: crypto.randomUUID(),
  apiKey: process.env.SOGNI_API_KEY,
  network: 'fast',
});

const project = await client.projects.create({
  type: 'image',
  modelId: 'moss_image_sft_dmd8_int8_convrot',
  positivePrompt: 'a slothicorn surfing a wave of liquid paint, studio lighting',
  numberOfMedia: 1,
});

const [url] = await project.waitForCompletion();
console.log(url); // result link — download within 24h
curl https://api.sogni.ai/v1/creative-agent/workflows \
  -H "Content-Type: application/json" \
  -H "Authorization: Bearer $SOGNI_API_KEY" \
  -d '{
    "input": {
      "title": "First render",
      "steps": [{
        "id": "step1",
        "toolName": "generate_image",
        "arguments": { "prompt": "a slothicorn surfing a wave of liquid paint, studio lighting", "model": "moss-image-8step" }
      }]
    },
    "confirm_cost": true
  }'

Example uses moss_image_sft_dmd8_int8_convrot. Use any exact model id from the Variants table above. Full reference at docs.sogni.ai.

Why run it on Sogni

Subscriptions or Spark

Use a flat monthly plan for credit-free fair-use generation, or buy Spark packs when pay-as-you-go fits better. Both run on the same creator-owned GPU network.

∞

Unlimited plans

One flat price in the app. Generate under fair use without a per-image meter.

🧩

200+ models

Image, video, music, and language models in one workspace and one API key.

⚡

Pay-as-you-go Spark

Prefer pay-as-you-go? Call MOSS-Image by id and pay with Spark packs.

🌐

Powered by people

Runs on a decentralized GPU network where workers share subscription revenue.

FAQ

MOSS-Image on Sogni

What does SFT mean?

SFT stands for supervised fine-tuned.

Can MOSS-Image edit an uploaded photo?

This release accepts text only. Changing a JSON layout produces a new image. For edits that must preserve a photographed person or object, choose a model with reference-image support.

What settings should I start with?

Start at 1024 × 1024 with the 8-Step preset: 8 steps, guidance 1, Euler and SGM Uniform. For Standard SFT, use 50 steps and guidance 3. Leave the negative prompt empty initially.

How do layout prompts work?

Send the whole JSON layout as the positive prompt. The author’s format uses summary, items, bbox_format yxyx and bbox_coord_space abs_centralized. Boxes are pixel coordinates relative to the canvas center. Layout control is experimental; check the composition and every rendered word.

Is there a faster MOSS preset?

Choose MOSS-Image 8-Step in Sogni Studio. It uses the lodestones DMD adapter at strength 1 with exactly 8 steps and guidance 1. Its direct model ID is moss_image_sft_dmd8_int8_convrot; the hosted tool selector is moss-image-8step. Check the quote for that preset before rendering.

Can I use my own MOSS LoRA?

Import a compatible adapter through My LoRAs, then select the ready entry on either MOSS preset. Personal adapters are shared across the two presets; on 8-Step, they apply after the built-in DMD adapter.

Is MOSS-Image uncensored?

Yes. Both the standard SFT and 8-Step DMD presets are uncensored and support private mature-theme creativity.

How private is my use of this model on Sogni?

Sogni is built with privacy and creative freedom in mind. Your work remains your own, and inference runs through the Sogni Supernet, a decentralized network of creator GPUs, instead of requiring local hardware or a separate model host. Use is still governed by Sogni's Privacy Policy and Terms of Use.

Start with MOSS-Image today

Create in the app, or build with the API. Your call.