Text-to-image model. Generates original images from natural-language prompts.
Key strengths
- Prompt-driven generation
- Multiple resolutions
- Seed control
- Negative prompts
Use cases
- Marketing assets
- Blog illustrations
- Product concepts
- Storyboards
Alibaba's alibaba/wan2.5-image is a state-of-the-art text-to-image generation model. It produces highly detailed, photorealistic and stylized imagery from natural-language prompts, with strong instruction following and accurate text rendering inside generated images.
Compatible with the OpenAI `/images/generations` endpoint shape, supporting prompt, size, seed, negative prompt, and resolution controls. Excellent for creative workflows, marketing assets, product visualization, and concept art at scale.
alibaba/wan2.5-image is fully OpenAI-compatible — drop in your existing OpenAI Python or Node SDK and switch `baseURL` to `https://api.tokenlx.ai`. TokenLX transparently routes your requests to the optimal provider endpoint while preserving streaming, function-calling, and structured-output semantics.
Performance
Compare different providers across TokenLX · All locations.
Effective Pricing
Pricing is shown by the model billing method, using per-call or per-second prices and resolution tiers.
Recent activity
Total usage per day on TokenLX (last 30 days).
Sample code & API
TokenLX normalizes requests and responses across providers. Use any OpenAI SDK or our native SDK.
from openai import OpenAI
client = OpenAI(
base_url="https://api.tokenlx.ai/v1",
api_key="sk-tokenlx-...",
)
response = client.images.generate(
model="wan2.5-image",
prompt="A futuristic city skyline at sunset, photorealistic",
size="1024x1024",
n=1,
)
print(response.data[0].url)Replace sk-aihubrouter-… with your key from the dashboard.