TRStart creating
Menu

Wan v2.2 A14B Text-to-Image A14B with LoRAs

Text to image

Wan 2.2's 14B model with LoRA support generates high-fidelity images with enhanced prompt alignment, style adaptability.

Input

Fields marked * are required. Review the price before generating.

The text prompt to guide image generation.

The size of the generated image.

Additional settings

Negative prompt for video generation.

Random seed for reproducibility. If None, a random seed is chosen.

Number of inference steps for sampling. Higher values give better quality but take longer.

Tips and requirements

Whether to enable prompt expansion. This will use a large language model to expand the prompt with additional details while maintaining the original meaning.

Acceleration level to use. The more acceleration, the faster the generation, but with lower quality. The recommended value is 'regular'.

Classifier-free guidance scale. Higher values give better adherence to the prompt but may decrease quality.

Guidance scale for the second stage of the model. This is used to control the adherence to the prompt in the second stage of the model.

Shift value for the image. Must be between 1.0 and 10.0.

LoRA weights to be used in the inference.

If true, the video will be reversed.

The format of the output image.

Price$0.08 / run

You sign up first. Your settings are kept.

API code for this input

Complete the required fields and fix input errors to see API code.

How to use Wan v2.2 A14B Text-to-Image A14B with LoRAs

Getting started

Generate still images with WAN 2.2 A14B and optional LoRA weights.

Review your result

Compare the result with your source, especially object boundaries, fine text, faces and shadows.

Inputs and settings

Set prompt, image_size, negative_prompt and seed. Each LoRA has a path, scale and high/low transformer selection.

Choose regular or no acceleration, guidance settings and 2–40 sampling steps. PNG and JPEG outputs are supported.

We use analytics cookies. Privacy policy