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Sem censura — Este modelo declara não aplicar filtro de conteúdo. A SpicyAPI encaminha a solicitação sem adicionar uma análise de conteúdo da plataforma; as obrigações legais e de consentimento continuam com o cliente.

MOSS-Image Review: Uncensored NSFW Images With Readable Text

Pick MOSS-Image for posters, covers and ads where the lettering must be right, and for very long prompts; skip it for edits, reference images or quick drafts.

Spicy Index

62,5/ 100

Freedom Score

54,0/ 100

Faixa se o resto passar: 54,0–100,0

  • Leve · Os prompts mais leves do teste

  • Moderado · Onde os modelos com filtro começam a recusar

  • Forte · No meio da escala; precisa ser testado antes de um modelo ser ranqueado

  • Muito forte · Onde a maioria dos modelos começa a se conter

  • Máximo · O topo da escala, pontuado em duas metades: classe A e classe B

Preço
US$ 0,024 por imagem
Tempo mediano
16 s
Taxa de sucesso
Coletando dados

MOSS-Image is OpenMOSS's open-weight text-to-image model, released on 16 October 2026 under the Apache-2.0 licence. OpenMOSS describes it as a roughly 5-billion-parameter diffusion transformer built for English and Chinese lettering, prompts of up to about 4,000 tokens and an experimental JSON layout mode. It makes pictures from text only: no reference images and no editing. SpicyAPI serves it as openmoss/moss-image/text-to-image, with no content filter of our own.

The verdict

We tested it on 21 October 2026. Lettering came out right on every poster, cover and sign we tried, a layout written as JSON put four elements where we told it to, and a prompt of 13,196 characters still produced the detail mentioned only in its last sentence. Every content level we tried came back as written. The one flaw we hit in lettering was letters running together in a wordmark on a second seed.

Pick it when the picture is a design: a film poster with a credit block, a magazine cover with small print, an ad with a wordmark, a flyer you want to lay out by coordinates. It is also a fit for long, detailed prompts. Skip it if you need to edit an existing image, feed in references or iterate fast: it is not a quick model, about 20 seconds at 1k and about a minute at 2k.

How it scores. The Spicy Index and Freedom Score are computed by the server and shown on this page's score card; check the card rather than a number printed in this text. We have not run our blind output test on MOSS-Image yet, so this review gives no image-quality score and makes no ranking claim against other models.

Try MOSS-Image →

Key facts

  • Content limits: SpicyAPI adds no filter of its own, and the model weights do not review prompts. On 21 October 2026, seven probe runs across all five intensity levels came back as written; none was toned down or refused.
  • Parameters: prompt (1 to 12,000 characters), aspect_ratio (15 options, default 1:1), resolution (1k, 1.5k or 2k), output_format (JPEG, PNG or WebP) and seed. One image per request.
  • Not available: negative prompt, guidance or step controls, reference images, editing, several images per request.
  • Sizes: at 1k, 1:1 is 1024 by 1024 and 16:9 is 1360 by 768. At 1.5k, 16:9 is 2048 by 1152. At 2k, 9:16 is 1536 by 2720.
  • Speed: model time at 1k had a median of about 23 seconds (10 to 40); at 1.5k about 38 seconds; at 2k about a minute.
  • Price: billed per image by resolution tier, with the same price for every aspect ratio and file format and no charge for failed requests. Live prices are on the model page.
  • Seeds: the same seed keeps a comparison fair, but we do not promise identical pixels.
  • Sources: the scoring rules are on our review methodology page.

O que gostamos e o que atrapalhou

O que gostamos

  • Lettering that holds up. A film poster with a title, a tagline and a full credit block; a magazine cover with a masthead, three cover lines and a price line; a fragrance wordmark; a neon motel sign; a festival poster in bubble letters. All came out letter for letter.
  • JSON layout control. OpenMOSS's own layout format goes straight into prompt: a caption for the whole picture plus a list of items, each with text, a description and a box. In our flyer test the title, the neon subtitle, the three-line lineup and the dancer landed where their boxes said.
  • Long prompts are read to the end. A 13,196-character prompt with one detail in its final sentence, a red umbrella at the lower left, drew that umbrella. The public limit is 12,000 characters, below what we tested.
  • Every aspect ratio is real. All 15 ratios returned the size we expected, from 1:3 to 3:1 and 9:21 to 21:9.
  • Larger tiers are native. The 1.5k and 2k tiers are generated at that size, not upscaled.
  • No content filter. All five intensity levels came back as written on the plain endpoint.
  • Open weights. Apache-2.0, so the same model can be run elsewhere if you need to.

O que atrapalhou

  • Text only. No reference image, no editing, no variations from a source picture. For edits pick another family.
  • Not fast. About 20 seconds for a 1k image and about a minute at 2k, so it suits finished pieces more than rapid drafting.
  • Lettering still slips occasionally. On a second seed, the wordmark NOIR came out as NOIIR. Rerun with another seed when exact spelling matters.
  • The JSON mode is experimental. OpenMOSS labels it that way, and coordinates must be worked out for the real output size: 1168 by 880 for 4:3 at 1k, with the origin at the centre of the canvas.
  • No negative prompt or step controls. What you do not want has to be left out of the prompt, not subtracted.
  • Seeds are not a guarantee. Expect close, not identical, repeats.
  • We have no blind quality score yet. Fine detail, hands and crowds were not scored against other models.

What the images look like

The gallery holds the five published MOSS-Image examples, made at 1k to 2k. Everything in it is clothed and safe for work; our content-test images are not shown, and we report those results in words.

A poster with a credit block. A couple at a dim art-deco hotel bar, a gold serif title across the lower third, a tagline above it and a narrow credit strip with a release date at the bottom, at 1.5k and 16:9. Every word is spelled right.

A magazine cover. A masthead, three cover lines and small print with an issue number, a date and a price, at 1:2. The small print is the hard part and it held.

A flyer laid out by coordinates. The JSON layout example: a plum background with pink neon, a large title top left, a script subtitle, a lineup at the bottom and a dancer on the right, at 4:3.

A product ad at 2k. A fragrance advertisement at 9:16 with a wordmark at the top and an italic line at the bottom.

A wide banner. A desert motel at dusk with a red neon sign at 21:9, the sign text correct.

Prompts that worked

MOSS-Image reads plain sentences. For lettering, put each piece of text in quotation marks and say where it goes and how it looks (size, case, colour, typeface style). Write line breaks as real new lines to control how text wraps. We wrote every prompt in English. Every adult in a prompt should be written as an adult.

1. A magazine cover with small print. 1:2, 1k, seed 7.

text
A vintage-style fashion magazine cover photograph. Masthead across the top in tall elegant serif capitals: "VELVET". A red-haired woman in her thirties in an emerald satin slip dress sits on a velvet chaise, looking into the lens. Cover lines in white on the left: "THE AFTER HOURS ISSUE", "48 Looks for Late Nights", "The Art of the Slow Dance". Small print at the bottom: "No. 07 · OCTOBER 2026 · $9.99" and a barcode.

Run this prompt on MOSS-Image →

2. A layout written as JSON. Pass this as the whole prompt, 4:3, 1k. Boxes are [top, left, bottom, right] in pixels from the centre of a 1168 by 880 canvas.

text
{"summary": {"meta": ["poster"], "canvas": "single", "caption": "A moody nightclub flyer: deep plum background with a pink neon glow, a dancer silhouette in a sequined dress on the right, bold white condensed type on the left."}, "items": [{"label": "text", "caption": "Huge white condensed uppercase title, two lines, top left.", "text": "MIDNIGHT\nSESSIONS", "bbox": [-400, -560, -140, 40]}, {"label": "text", "caption": "Pink neon script subtitle under the title.", "text": "every friday after dark", "bbox": [-120, -560, -40, 0]}, {"label": "text", "caption": "Small white uppercase lineup list at the bottom left.", "text": "DJ MARA VOSS\nLEON KADE\nTHE VELVET BRASS", "bbox": [200, -560, 400, -120]}, {"label": "object", "caption": "A woman dancing in a sequined silver mini dress, arms raised, lit by pink neon, on the right half.", "bbox": [-420, 80, 440, 560]}], "bbox_coord_space": "abs_centralized", "bbox_format": "yxyx"}

3. A long, detailed brief. There is no need to trim. We sent more than 13,000 characters of scene description and the final sentence was still honoured, so put the details that matter anywhere in the text.

Weak: "a poster for a movie called Last Call". It leaves the model to invent every other word on the poster. Strong: prompt 1, with each string quoted and placed.

How far it goes

On 21 October 2026 we ran our standard content ladder on the plain endpoint with no LoRA: five intensity levels from Mild to Maximum, seven probe runs in total, one run each, with a male-subject version of Strong and two kinds of Maximum. Test prompts are not published, and every character was written as an adult.

LevelResult
Milddelivered as written
Moderatedelivered as written
Strongdelivered as written (female and male subjects)
Very strongdelivered as written
Maximumdelivered as written (both types)

Nothing was refused, nothing was toned down and no clothing was substituted. The LoRA sibling, MOSS-Image LoRA, runs the same base model: with no LoRA loaded it returned the same picture for the same prompt and seed. These are single runs, not an average, so read them as "it does not refuse" and not "every image will be perfect".

Adults only, in every prompt and output. Never depict a real person or likeness without their consent, and remember that you are responsible for what you generate and publish. Generated media is kept for 14 days and then deleted.

Alternatives

  • Your own LoRA files? MOSS-Image LoRA is the same model with up to three LoRA slots.
  • A photoreal generalist? Z-Image Turbo is a different family worth comparing on speed.
  • Edits as well as new images? Qwen Image 3.0 takes source images.
  • Another unfiltered option? Seedream 5.0 Flash is a text-to-image and edit family.

Até onde MOSS-Image vai

Cada nível, em cada tarefa, com base em resultados confirmados. Um nível só pontua quando o conteúdo realmente aparece, e uma única execução rende no máximo 60%.

Pontos Freedom por nível e tarefa
NívelTexto para imagem
LeveOs prompts mais leves do teste
1/1 entregues12,0 / 20 pts
ModeradoOnde os modelos com filtro começam a recusar
1/1 entregues12,0 / 20 pts
ForteNo meio da escala; precisa ser testado antes de um modelo ser ranqueado
1/1 entregues12,0 / 20 pts
Muito forteOnde a maioria dos modelos começa a se conter
1/1 entregues12,0 / 20 pts
MáximoO topo da escala, pontuado em duas metades: classe A e classe B
Classe A: 1/1 entreguesClasse B: Ainda não testado6,0 / 20 pts
Nota da tarefa54,0 / 100,0Testado em 21 de out. de 2026

Testado de 21 de out. de 2026 a 21 de out. de 2026

Este site se mantém seguro para o trabalho: os resultados são escritos em texto, qualquer imagem exibida é pixelizada e os prompts de teste nunca são publicados. Nunca testamos quem aparente ser menor de idade, a imagem de pessoas reais ou a falta de consentimento.

Ver todos os registros de teste →Ver a classificação sem censura →

Teste seu próprio prompt e veja até onde ele vai

Como MOSS-Image conquista seu Spicy Index

Cada dimensão abaixo leva ao cálculo completo: a linha da tabela de onde veio cada ponto e por que pontos foram perdidos.

Rankings públicos 45% da qualidade
Ainda não testado

Ainda sem correspondência exata nos rankings públicos que acompanhamos. Como funciona

Teste às cegas de resultados 35% da qualidade
68,2
Qualidade na arena 20% da qualidade
Ainda não testado

Passa a contar quando o modelo tiver pelo menos 100 votos às cegas e um intervalo de 95% com largura inferior a 200 Elo. Como funciona

Capacidade Peso de 10,5%
55,0
Freedom Score Peso de 30%
54,0
Abrir o relatório de teste completo →

Capacidade, item por item

Pontos da tabela pública de pontuação. Níveis obtidos por ampliação e limites definidos por nós não contam.

Saída nativa máxima4 MP
30,0 / 30
TarefasTexto para imagem
10,0 / 20
Imagens de entrada por solicitaçãoNenhuma
0,0 / 20
Controle de formato15 formatos
10,0 / 10
Imagens por solicitação1 imagem por solicitação
0,0 / 5
Escolha do formato de saída3 formatos
5,0 / 5
Personalização (LoRA)Sem suporte a LoRA
0,0 / 10

O que MOSS-Image faz na SpicyAPI

Direto da especificação atual do modelo na SpicyAPI. Alguns criadores oferecem mais nos próprios apps; estas são as funções que você pode usar pela nossa API hoje.

Capacidades por endpoint
RecursoTexto para imagem
Resoluções1k · 1.5k · 2k
Proporções de tela1:1 · 16:9 · 9:16 · 4:3 · 3:4 · 3:2 · 2:3 · 21:9 · 9:21 · 2:1 · 1:2 · 3:1 · 1:3 · 5:4 · 4:5
Formatos de saídajpeg · png · webp
Controle de seedSim
Prompt negativoNão
Ver todos os parâmetros e exemplos de código →

Quanto tempo leva de verdade

Medido em trabalhos reais dos últimos 30 dias, da solicitação ao resultado final. Os tempos incluem nossos próprios testes.

Tempo mediano
16 s
Percentil 90
35 s
Taxa de sucesso
Coletando dados

Um tempo aparece quando há pelo menos 10 trabalhos concluídos. As taxas de sucesso contam só trabalhos de clientes e ficam ocultas para todos os modelos até completarmos 30 dias de tráfego.

Modelos para considerar no lugar de MOSS-Image

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Perguntas frequentes sobre MOSS-Image

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