SDXL
Open-source workhorse
Stable, reliable open-source model. Cheap to run, broad style range, great for high-volume work.

Cost per image
1 credit
Free renders
~100 on free plan
Watermark
None — even free
Animate to video
1-click, 5–10s
What is SDXL?
Stable, reliable open-source model. Cheap to run, broad style range, great for high-volume work.
SDXL is a stylized AI image model built for creative output that doesn't try to imitate photography. It excels at painterly compositions, illustrative character work, concept art, and mood-driven imagery that looks hand-crafted rather than algorithmically assembled. The model was trained on a deliberately non-photographic corpus, which means it handles artistic direction cues ("oil on canvas", "studio Ghibli background", "risograph print") with far more fidelity than general-purpose photoreal models. If you're producing content where stylistic authenticity matters — book covers, album artwork, branded illustration, animated social posts — SDXL is built for that creative space.
SDXL generates at up to Up to 1024×1024 across All standard ratios, with a generation time of 5–10 seconds. Unlike photoreal models where prompt specificity drives realism, stylized models like SDXL respond best to art-direction language: medium ("oil paint", "watercolor", "digital illustration"), mood ("melancholic dusk", "vibrant summer"), and composition cues ("rule of thirds", "Dutch angle", "overhead view"). The model is particularly strong when the prompt names a recognizable visual style — it was trained to execute style directives rather than guess them from subject matter alone.
On FluxNote, SDXL costs 1 credit per image. The free plan includes 100 credits per month — enough for 100 SDXL renders with no credit card and no watermark. Paid plans (from $9/month) scale up to 15,000 credits without changing how the model or the interface works. SDXL sits alongside 18 other image models in the same dashboard; switching to a different model for a different job is a single click, no separate subscription required.
Every SDXL output has a one-click animate button. FluxNote sends the still to one of its AI video models — Sora 2 Pro, Veo 3, Kling 3.0, Runway Gen-4, or Seedance 2.0 — and returns a 5–10 second clip. This image-to-video workflow is particularly useful for ad creatives (static images animate well for story and feed placements), social content (a single SDXL image can become a TikTok, Reel, and YouTube Short), and product showcases (slow camera moves around a product image that isn't technically a 3D model).
For most workflows, SDXL works best as part of a multi-model pipeline: generate concepts fast with FLUX Schnell or Gemini Flash 2.5 at 1–4 credits per image, switch to SDXL for the final render, then run the result through FLUX Kontext Edit for last-mile corrections, or Nucleus Image if you need a 2× or 4× upscale for print. All of these models are available under the same FluxNote subscription — there's no additional charge to access other models.
Spec sheet
Hard numbers — what SDXL accepts and what it produces.
Resolution
Up to 1024×1024
Generation time
5–10 seconds
Aspect ratios
All standard ratios
Inputs
Text-to-image
Real outputs from SDXL
7 samples generated by FluxNote users. Hover any image to read the prompt.

Prompt: Create a 25-second YouTube Shorts video for kids (age 48) about emotional intelligence (understanding feelings). Use bright, colorful animation style and keep it funny, energetic, and engaging. Characters: Ingest: A cute, friendly robot with a playful personality (voice like a giggly 6-ye

Styling one piece for 5 ways

The man in the middle closed his eyes and sleep as the storm becomes intense. Intensify storm animation: faster and stronger boat rocking, more aggressive wave motion and splashes with lightning flash effect in the sky. Add quick, subtle panic movementshead turns, slight body shifts, but the man in

EZT TILOS az Amishoknál de egy fiú titokban mégis kipróbálta. Jakab 17 éves volt. Egész életében szabályok között élt. Nem volt telefonja. Nem volt tévéje. És nem tudta, milyen a modern világ. Az Amish közösségben ez mind tiltott. De van egy időszak az életükben amikor dönteniük kell. Maradnak vagy

--- Hey look at you. Took your time getting here, didnt you? Come closer. No, closer than that I dont like repeating myself. Good. From now on, youre going to listen. No distractions, no wandering off. Just my voice. Got it? yeah, I thought so. Sit still. Youve been all over the place today,

Cyberpunk city at night
SDXL: strengths & limitations
An honest picture of what SDXL does well — and where it doesn't. Use this to decide whether to pick SDXL or one of FluxNote's 18 other image models for a given job.
Strengths
- ●Cheapest model on FluxNote — 1 credit per image.
- ●Broadest style range of any single model — photoreal to anime to oil-painting in one tool.
- ●Stable and predictable — large community prompt library available.
Limitations
- ●Lower fidelity than newer Vivid/Dreamscape models.
- ●Hands and complex anatomy are weaker than premium models.
3 ways creators use SDXL
Real-world workflows we see most often in the FluxNote dashboard.
Bulk content for SEO
Scenario:You publish 50 blog posts a month and need a unique header image on each.
Walkthrough:Pipe each post title into a Classic prompt template, generate 50 images for 50 credits, drop into the CMS.
Prompt experimentation
Scenario:You're learning prompt-engineering and want a low-stakes model to A/B test 200 phrasings.
Walkthrough:Run two-by-two A/B tests on Classic, see which prompt-shapes resonate, take the winners to premium models.
Dataset generation
Scenario:You're training a smaller model or building a synthetic dataset for ML experiments.
Walkthrough:Script a few hundred prompt variations, batch-render on Classic for ~100–300 credits, export a labeled folder.
Prompt examples that work with SDXL
Copy-paste any of these prompts into the SDXL model to get a result close to the example.
Photoreal
30-year-old man with red beard, navy hoodie, coffee shop window background, natural lightStylized
anime-style detective in a rainy alley, neon glow, expressive lightingPainterly
watercolor of a quiet Italian village at dusk, terracotta rooftops, soft paletteHow to get the best results from SDXL
Prompt strategies that consistently improve output quality — based on how SDXL was trained and what it responds to.
Be specific about lighting
Instead of "product photo", try "product on white marble, soft diffused window light from the left, slight shadow on the right, 85mm lens perspective". Lighting direction and quality are the single biggest driver of SDXL's realism.
Name the camera or lens
"35mm film grain", "85mm portrait lens", "macro lens close-up", "wide-angle environmental shot" — SDXL was trained on a corpus that includes photography metadata. Camera/lens references activate a different distribution of outputs than generic prompts.
Describe what's NOT in the frame
Adding "no text, no watermark, no border, clean background" prevents SDXL from adding visual clutter that wasn't requested. Negative constraints are especially useful for product photography and editorial portraits.
Use aspect ratio to guide composition
SDXL adapts composition to the requested aspect ratio. For a 9:16 vertical, it naturally produces portrait-style framing. For 16:9, it composes for landscape. Choosing the right ratio before prompting — rather than cropping after — gives you better compositions and less wasted generation.
Iterate on the seed before changing the prompt
When SDXL produces a near-miss result, try regenerating with a different seed before rewriting the prompt. 80% of the time, the issue is randomness, not prompt direction. Changing the seed with the same prompt often produces the version you were looking for.
Name the art medium explicitly
"Oil on canvas with visible brushstrokes", "watercolor on textured paper", "digital illustration, flat design", "risograph print with two colors" — SDXL treats medium as a primary instruction, not a modifier. Starting with the medium produces more consistently stylized output than ending with it.
Describe color temperature and saturation
"Muted desaturated palette", "vibrant saturated colors", "warm golden tones", "cool blue shadows with orange highlights" — SDXL responds to color mood language the same way it responds to lighting language. A palette note in every prompt significantly improves stylistic consistency across a set.
SDXL vs other FluxNote models
Quick reference for picking the right model — every alternative below ships in the same FluxNote subscription.
vs Gemini Flash 3.1
Gemini Flash 3.1 is faster with cleaner composition — SDXL is more flexible style-wise.
How to generate with SDXL
Four steps from prompt to publish-ready output. Total time: under 10 seconds.
Open the image studio
Sign in to FluxNote (free, no card). Open AI Image Studio from the sidebar and pick SDXL from the model selector. Your free plan starts with 100 credits/month so you can run real renders before paying anything.
Write your prompt
Describe the image in plain English. SDXL responds best to specific details — subject, setting, lighting, lens, mood. It's tuned for volume work, drafts, experimentation, but it handles general-purpose prompts too. If your prompt is short, FluxNote's built-in prompt assistant can expand it for you in one click.
Pick aspect ratio and style
Choose 1:1, 9:16, 16:9, 4:5, or 3:2 to match your destination — TikTok, Instagram, YouTube thumbnail, blog hero, print. Add an optional style preset (cinematic, anime, photoreal, painterly, etc.) to bias the output. Premium aspect ratios like 21:9 unlock on the Pro plan.
Generate, refine, animate
Hit generate. SDXL typically renders in 5–10 seconds. Iterate on the prompt or seed to dial it in, then export full-resolution PNG with no watermark. Want it animated? Click the animate button to turn the still into a 5–10 second video clip in the same dashboard, no separate tool required.
Why creators pick FluxNote for SDXL
SDXL is one of 19 image models on FluxNote. One subscription unlocks them all.
One subscription covers SDXL plus 18 other AI image models — FLUX 2 Pro, FLUX PuLID, FLUX Kontext Edit, Seedream 3, Gemini Flash 2.5, FLUX Schnell, and more. No per-model paywalls and no separate logins for each provider.
100 free credits per month, no credit card required to start. SDXL costs 1 credit per image — that's around 100 free renders on the free plan alone.
Zero watermark on every plan including free. Your SDXL images export as clean full-resolution PNG, ready for paid social, print, or anywhere else.
Animate any SDXL output into a 5–10 second video clip with one click. Useful for ads, story posts, reel openers, and YouTube thumbnails — the animation cost is metered separately and starts at 6 credits.
Built-in prompt assistant, batch generation, image-to-image variations, and a reusable prompt library. You don't need to memorize prompt syntax — paste a rough idea and FluxNote refines it.
Reusable seed and style controls — lock the visual direction once, regenerate variants without losing it. SDXL respects seed control like the underlying API does.
Private by default. Outputs are visible only to your account unless you publish them to the showcase. We never sell or share your prompts and reference images.
SDXL FAQ
The 10 questions creators ask most often before switching to SDXL.
Is SDXL free on FluxNote?+
Yes — every FluxNote plan including the free tier (100 credits/month) can generate with SDXL. Each generation costs 1 credit, so the free tier covers around 100 renders per month with no credit card required.
What is SDXL best for?+
Volume work, Drafts, Experimentation. Stable, reliable open-source model. Cheap to run, broad style range, great for high-volume work. If your project is specifically commercial-print or hero-creative work, you may want to pair it with one of FluxNote's premium models (FLUX 2 Max, Imagen 4 Fast, Seedream 4) for the final render.
Does SDXL add a watermark?+
No. FluxNote does not watermark any output, on any plan, including free. Every SDXL image exports as a clean full-resolution PNG that you can use commercially without attribution.
Can I use SDXL commercially?+
Yes. FluxNote grants commercial usage rights on outputs from every model including SDXL. You can use the images in ads, products, books, and merchandise. As with any AI generation, double-check that the prompt and output don't reproduce protected likenesses or trademarks.
What input does SDXL need?+
Text-to-image. Most prompts are 1–4 sentences describing subject, setting, lighting, and mood — FluxNote's prompt assistant can expand short prompts in one click.
Can I turn a SDXL image into a video?+
Yes — every SDXL output has a one-click animate button. FluxNote will generate a 5–10 second video clip from your still using one of the AI video models (Runway Gen-4, Kling, Sora 2 Pro, Veo 3, Seedance). Pick the model from the animate dropdown; cost starts at 6 credits per clip.
What resolutions can SDXL export?+
Up to 1024×1024. Free plan exports the same resolution as paid plans — there is no quality gating. If you need print-grade resolution, run the result through Nucleus afterwards to upscale 2× or 4× without losing detail.
Is my data private?+
Yes. Reference photos and prompts are visible only to your account. We do not sell prompts, do not train on your inputs, and you can delete generated images at any time from your library. Identity-locked models (FLUX PuLID) embed reference photos privately and you can purge embeddings on request.
SDXL vs other AI image models — when should I pick it?+
Use SDXL when volume work, drafts, experimentation matter most. Compared to Gemini Flash 3.1, gemini flash 3.1 is faster with cleaner composition — sdxl is more flexible style-wise. For an everyday default, most creators pick FLUX Schnell or Gemini Flash 2.5; for hero work, FLUX 2 Max or Seedream 4; for identity, FLUX PuLID; for targeted edits, FLUX Kontext Edit.
Do I need to install anything?+
No. FluxNote runs in any modern browser — Chrome, Firefox, Safari, Edge — on desktop and mobile. There is no install, no GPU requirement, and no waiting in line. Your library, prompts, and outputs sync across devices automatically.
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