Wan Image: specs, benchmarks, and how to run it on Lyceum

You can generate high-quality assets with Wan Image using Lyceum Technology's OpenAI-compatible API. Because this is a dedicated image generation model, you must use the images/generations endpoint with standard Bearer authentication, rather than the standard chat completions endpoint used for text models.

Integrating the model into your existing application requires zero new SDKs. You simply point your HTTP client to the Lyceum endpoint and pass the correct model string. Here is the exact code required to generate an image:

import requests

response = requests.post(
 "https://api.lyceum.technology/api/v2/external/images/generations",
 headers={"Authorization": "Bearer <your lyceum api key>"},
 json={"model": "lyc-wan-image", "prompt": "a sunset over the ocean", "aspect_ratio": "1:1"},
)
print(response.json()["image_url"])

Pricing and region for Wan Image

Wan Image is available on Lyceum's Fast tier, which is specifically optimized for cost-efficient, high-throughput generation tasks. The model is priced at a flat rate of $0.005 per image, making it highly scalable for bulk generation workflows.

To meet the strict data residency requirements of our European customers, all API requests for Wan Image are processed exclusively in our eu-north1 hosting region. This guarantees that your prompts, reference data, and generated images remain entirely within the European Union, ensuring full compliance with GDPR and local data protection laws.

Photorealistic portraits and skin textures

Wan Image excels at generating highly realistic human subjects, setting a strong baseline for commercial photography replacement. It produces natural skin textures, accurate lighting interactions, and structural stability that avoids the artificial, plastic look common in earlier diffusion models. This makes the model highly effective for lifestyle photography, fashion mockups, and character design where authenticity is paramount.

Multi-language text rendering

Unlike many Western-centric image models that struggle with typography, Wan Image features robust multi-language text rendering capabilities. It can accurately generate readable text in up to 12 different languages. This capability is highly valuable for enterprise teams creating localized marketing assets, academic charts, and typography-heavy designs, as it drastically reduces the need for post-production text overlays in graphic design software.

Precise color and composition control

The model offers fine-grained control over the visual output, which is critical for professional workflows. It adheres strictly to composition prompts and can accurately render specific color palettes based on hex codes or reference ratios. This is especially important for enterprise users who need to match strict brand guidelines. Furthermore, its underlying architecture utilizes a shared latent space for text and visual semantics. This ensures that complex, multi-element prompts are rendered logically, with objects placed correctly in relation to one another without blending concepts inappropriately.

Wan Image benchmark results

Wan Image performs competitively in community blind tests, particularly in categories requiring high aesthetic quality, realism, and stylistic versatility. In standardized evaluations, it proves to be a robust foundation model for diverse visual tasks.

Source: OpenRouter Text-to-Image Arena.

Comparison to sibling models

When compared to models like DALL-E 3, Wan Image offers a highly competitive cost-to-quality ratio, particularly for users needing native 2K resolution and multi-language support. While GPT Image 2 may have a slight edge in English-only typography and universal polish, Wan Image provides superior value for batch generation and non-Western aesthetics. Against Stable Diffusion 3, Wan Image holds its own in photorealism and color accuracy, though Seedance often leads in absolute prompt adherence for complex spatial instructions. For teams prioritizing cost-efficiency and high-resolution output, Wan Image frequently emerges as the more practical choice for scaled production.

Production configuration for Wan Image

When deploying Wan Image via Lyceum Technology, the model operates on our Fast tier, which balances high-quality 2K output with efficient processing speeds. At a flat rate of $0.005 per image, cost forecasting is straightforward and highly predictable. For a production workload generating 10,000 images per month, such as an e-commerce catalog update or a dynamic marketing personalization platform, the total inference cost would be just $50.

The API accepts standard parameters such as prompt and aspect_ratio, allowing you to easily integrate it into automated content pipelines. Because the endpoint is fully managed by Lyceum, your engineering team does not need to worry about VRAM allocation, batch sizing, or managing cold starts on dedicated GPU instances. The infrastructure scales automatically to meet your concurrent request volume.

Furthermore, because the model natively outputs high-resolution images, you can often bypass the need for secondary upscaling steps in most web and digital print workflows. This reduces the overall complexity of your pipeline and decreases the time-to-delivery for visual assets. For best results in production, we recommend passing detailed, descriptive prompts that specify lighting, camera angles, and color hex codes to fully leverage the model's precise control capabilities.

Why run Wan Image on Lyceum

For European enterprises and AI startups, data sovereignty is a hard requirement, not an optional feature. Most major API providers route image generation prompts through US-based servers, creating significant compliance risks when processing proprietary product designs, internal mood boards, or sensitive marketing briefs. Lyceum Technology solves this fundamental issue by hosting Wan Image entirely within our eu-north1 region.

By running Wan Image on Lyceum, you benefit from our owned GPU infrastructure, which provides a structural cost advantage over API providers who must rent their compute from hyperscalers. This allows us to offer premium models at highly competitive rates without compromising on performance. You get the simplicity of an OpenAI-compatible API, requiring zero code changes beyond updating the base URL and API key, combined with strict GDPR compliance.

With per-second billing and no minimum commitments, Lyceum allows you to scale your creative workflows securely and cost-effectively. Whether you are building an AI application on EU infrastructure or transitioning away from expensive hyperscaler credits, our platform provides the reliability and transparency needed for production deployments. You maintain complete control over your data while leveraging state-of-the-art generative capabilities.