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Playground v3 (Design)

Image generationUnavailable
by Playground AIModel ID: playground-v3-design

Playground's text-to-image model focused on graphic design aesthetics and embedded typography.

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Status
Unavailable
Aspect ratios
1:1, 16:9, 9:16, 4:3, 3:4
Resolution
1024×1024, 1024×1536, 1536×1024
Input → output
Text → Image
Developer
Playground AI
Updated
23 September 2026

Playground v3 (Design) is currently unavailable

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Input & output

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0 / 2,000

What to generate

Advanced settings (4)

0 / 1,000

What to avoid

Optional seed for reproducibility

Output
Your image appears here.

This run

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About Playground v3 (Design)

TL;DRAs of 23 September 2026

Playground v3 (Design) is a model by Playground AI in the Image generation category. Playground v3 (Design) is currently not available on Railwail. Supported aspect ratios: 1:1, 16:9, 9:16, 4:3 and 3:4.

Background

About Playground.com

Founded 2022 · Palo Alto, USA

Playground.com (originally Playground AI) is a graphic-design-focused generative-AI startup founded in 2022 in Palo Alto by Suhail Doshi, the former co-founder and CEO of Mixpanel. The company raised a $40M Series B in 2024 led by Andreessen Horowitz and operates both a consumer web app and proprietary text-to-image foundation models. Playground v2 (Dec 2023) and Playground v2.5 (Feb 2024) were open-weighted; Playground v3 (Sept 2024) is a closed-weights commercial model whose technical report (Liu et al. 2024, arXiv 2409.10695) describes a deep-fusion architecture specifically tuned for graphic design tasks like posters, logos, social-media creatives and brand imagery.

Visit Playground.com

Architecture

Latent diffusion with deep LLM-fusion text conditioning (graphic-design focus)

Playground v3 is a closed-weights text-to-image latent diffusion model released by Playground.com in September 2024. The architecture is described in the technical report 'Playground v3: Improving Text-to-Image Alignment with Deep-Fusion Large Language Models' (Liu et al. 2024). Instead of using a separate text encoder, Playground v3 deeply fuses a LLaMA-3-8B language model into the diffusion backbone: every transformer block of the diffusion U-DiT cross-attends to a different layer of the LLaMA encoder, so semantic understanding from the LLM is injected throughout the diffusion stack. This delivers substantially better prompt adherence on complex prompts than CLIP-only or T5-only conditioning. The model is trained at 1024x1024 with a noise-prediction objective and is fine-tuned with a dedicated graphic-design dataset including posters, ads, infographics and brand assets — explaining the 'Design' variant's strength on text-heavy, layout-driven creatives. Outputs are available via the Playground web app and API.

Parameters
~9B parameters (diffusion backbone) + LLaMA-3-8B text encoder
Context
256 tokens

Capabilities

  • Best-in-class prompt adherence via deep LLM fusion
  • Specifically tuned for graphic design (posters, logos, ads)
  • Strong in-image text rendering
  • 1024x1024 and higher resolutions
  • Style presets for design, photographic and illustrative looks
  • Available via Playground web app and API
  • Compatible with Playground's canvas-based editor
  • Best for: marketing creatives, social media graphics, posters, brand-asset generation.

Training & license

Pretrained on a large licensed and publicly available image-text corpus; fine-tuned with a dedicated graphic-design dataset for the v3 Design tier.

License: Proprietary commercial license via the Playground web app and API. Outputs may be used commercially under the Playground Terms of Service.

Safety testing: Internal safety filters covering CSAM, NCII, named persons and IP-protected characters. No public red-team report.

Known limitations

  • No public weights for v3 (v2 and v2.5 are open)
  • Photorealism slightly behind FLUX 1.1 [pro] and Imagen 4
  • Style biased toward 'design' looks may overpower natural photography prompts
  • Limited control compared to ControlNet pipelines

Research papers

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Pricing

Currently unavailable. There is no price for this model at the moment, so it cannot be run.

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API

Call Playground v3 (Design) with your Railwail API key. Use this model ID in the request:
playground-v3-designAPI documentationGet an API key

Currently unavailable

The model has no verified price or is deactivated; API calls are refused.

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Specifications

Model ID
playground-v3-design
Developer
Playground AI
Category
Image generation
Input
Text
Output
Image
Aspect ratios
1:1, 16:9, 9:16, 4:3, 3:4
Resolution
1024×1024, 1024×1536, 1536×1024
Model size
~9B parameters (diffusion backbone) + LLaMA-3-8B text encoder
License
Proprietary commercial license via the Playground web app and API. Outputs may be used commercially under the Playground Terms of Service.
Catalog entry updated
23 September 2026

Input parameters

Inputs and settings from the model's input schema. The example in the API section shows which of them the API accepts.

  • promptrequired

    What to generate

    Type: Text
    Default: –
    Allowed values: up to 2,000 characters
  • seed

    Optional seed for reproducibility

    Type: Integer
    Default: –
    Allowed values: –
  • size
    Type: Choice
    Default: 1024x1024
    Allowed values: 1024x1024, 1024x1536 or 1536x1024
  • aspect_ratio
    Type: Choice
    Default: 1:1
    Allowed values: 1:1, 16:9, 9:16, 4:3 or 3:4
  • guidance_scale
    Type: Number
    Default: 7.5
    Allowed values: 1 to 20
  • negative_prompt

    What to avoid

    Type: Text
    Default: –
    Allowed values: up to 1,000 characters
  • num_inference_steps
    Type: Integer
    Default: 30
    Allowed values: 1 to 100

Tags

  • playground
  • text-to-image
  • design
  • pricing-tbd
  • enterprise-only
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Use cases

What it is used for

  • Social-media post and ad creatives
  • Posters, flyers and event graphics
  • Logo and brand-asset variations
  • Editorial illustration with layout text
  • E-commerce banner generation
  • Presentation and pitch-deck design
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Frequently asked questions

What is Playground v3 (Design)?

Playground v3 (Design) is a model by Playground AI in the Image generation category. It is listed on Railwail but cannot be run at the moment.

How much does Playground v3 (Design) cost on Railwail?

Playground v3 (Design) cannot be run on Railwail at the moment, so there is no current price. Available alternatives with prices are listed further down this page.

Which settings does Playground v3 (Design) support?

According to its input schema, Playground v3 (Design) knows these parameters: prompt (up to 2,000 characters), seed, size (1024x1024, 1024x1536 or 1536x1024), aspect_ratio (1:1, 16:9, 9:16, 4:3 or 3:4), guidance_scale (1 to 20), negative_prompt (up to 1,000 characters) and num_inference_steps (1 to 100).

How fast is Playground v3 (Design)?

There are not enough measured runs of Playground v3 (Design) on Railwail yet to state a run time. It depends on the input, the settings and the load at the provider.

Is Playground v3 (Design) better than FLUX 1.1 Pro?

That depends on the task. Playground v3 (Design) (Playground AI) and FLUX 1.1 Pro (Black Forest Labs) are both models in the Image generation category. The comparison page shows their prices and specifications side by side.

Compare Playground v3 (Design) and FLUX 1.1 Pro

Can I use Playground v3 (Design) right now?

Currently unavailable. The page stays online; available alternatives from the same category are listed further down.

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