Stable Diffusion 2026: SD 1.5, SDXL and SD 3 Explained

TL;DR. Stable Diffusion is a family of open-source image generation models. In the Pixyn catalog the versions solve different tasks: SD v1.5 draws from text and accepts LoRAs, SDXL Lightning quickly reworks a source image in a few steps, SD 3 reworks a source image following a detailed prompt, and Stable Video turns text or a frame into a short clip. Its strong side is flexibility and control. You can open Stable Diffusion in the Pixyn catalog, without your own graphics card or installation. Below: which version for which task, a working prompt and alternatives.

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What Stable Diffusion is

Stable Diffusion (SD) is an open text-to-image model from Stability AI. Its main difference from the closed Midjourney and DALL-E is open weights: the model can be run on your own hardware, fine-tuned (LoRA) and built into pipelines. That is why a huge ecosystem of fine-tuned models and tools has grown around SD.

To run SD yourself you need a graphics card, installation and setup. Cloud access (like in Pixyn) removes that threshold: you write a prompt and get an image without dealing with GPUs and drivers.

Stable Diffusion versions in Pixyn and which to choose

SD v1.5: from text

The classic text-to-image version. Settings: steps, guidance scale, a negative prompt, a seed, plus LoRAs and embeddings for a specific style. Take it to generate from scratch and when you want fine control over the style.

SDXL Lightning: fast rework of an image

Works from a source image (image-to-image) in 1, 2, 4 or 8 steps, which is why it is fast. The strength setting decides how far the result may move from the source. Take it for quick variants of a picture you already have.

SD 3: rework following a detailed prompt

Also works from a source image, with strength, steps, guidance scale and a negative prompt. SD 3 follows a detailed description more precisely, so take it when the change is complex.

Stable Video: short clips

Stable Video Diffusion models make short clips from text or from a frame: fast variants for drafts and a higher-quality one for the final.

A short rule: from text, SD v1.5; quick variants of your picture, SDXL Lightning; a complex change of a picture, SD 3; a short clip, Stable Video.

Version	Input	Strong side	Good for
SD v1.5	Text	Control, LoRAs, embeddings	Generation from scratch in a set style
SDXL Lightning	An image + text	Speed, 1 to 8 steps	Quick variants of a picture
SD 3	An image + text	Precision with a detailed prompt	Complex changes of a picture
Stable Video	Text or a frame	Short clips	Video drafts and short clips

The table's takeaway: from text, take SD v1.5; for quick variants of a picture, SDXL Lightning; for a complex change, SD 3; for a clip, Stable Video.

How to use Stable Diffusion in Pixyn, step by step

1. Sign up for Pixyn: 30 seconds via email, Telegram or Google.
2. Open the model catalog and choose a version: Stable Diffusion.
3. Write a prompt (and upload a source image for SDXL Lightning or SD 3), and set the aspect ratio if needed.
4. Generate, pick the successful frames and repeat with a refined description if you like.

You do not need your own graphics card or installation.

Which tasks to use Stable Diffusion for

• Marketplaces: backgrounds and scenes for cards, product visualization, packaging variants.
• Idea iteration: SDXL Lightning produces quick variants of a composition from which you choose a direction.
• Content in one style: through LoRAs and references, SD keeps the visual language of a brand.
• Illustrations and concepts: the flexibility of SD is convenient where you need control over the style rather than "pretty by default".

A prompt that works

SD likes specifics and structure: subject, then details, then style, then light, then quality.

product photo of a ceramic coffee mug on a marble table, soft morning light,
shallow depth of field, minimalist scene, high detail, studio quality

SD 3 understands natural language well; for SD v1.5 it helps to add style and quality tags at the end.

Anti-prompt (don't do this)

beautiful mug, super quality, masterpiece

Why it does not work: there is no description of the scene, light and style, and the model almost ignores general evaluations ("beautiful", "masterpiece"). The more specific the scene, the fewer trial generations.

Stable Diffusion or alternatives

In some scenarios other models are more convenient:

• Ready working prompts for SDXL are in the collection 100 Stable Diffusion XL prompts.
• If you need not to generate from scratch but to edit a finished photo with text, it is easier in the Reve 2.0 editor.

What it costs in tokens

Stable Diffusion: from 2 tokens per image and from 20 per clip. The family also has a video lineup, and it is ten times more expensive than the image one.

The studio shows the exact charge before you run it, so check against it rather than the article: the catalog gets updated. Pack contents are on the pricing page.

FAQ

What is Stable Diffusion in simple words? An open neural network for generating images from text. It can be run on your own machine and fine-tuned, which requires a graphics card and setup, and cloud access removes that threshold.

Do I need my own graphics card for Stable Diffusion? For a local run, yes, you need a powerful GPU. In the cloud (in Pixyn), no: generation runs on the service side.

How is SDXL Lightning different from SD 3? Both rework a source image. SDXL Lightning is fast (1 to 8 steps) and suits quick variants; SD 3 follows a detailed prompt more precisely and suits complex changes.

Which Stable Diffusion version is better to start with? SD v1.5 to generate from text; SDXL Lightning for quick variants of a picture you already have.

How do I get cleaner hands? A more specific prompt, a negative prompt such as deformed hands, extra fingers, regeneration, and editing the problem areas in an editor.

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Ready to try it yourself? Open Stable Diffusion → Sign-up takes 30 seconds via email, Telegram or Google, no graphics card of your own needed.

Plans are on /pricing. In the model catalog, next to SD there are FLUX and DALL-E, convenient for comparing on your own task.

For reference about the model: Stable Diffusion on Wikipedia.