WAN v2.6 Text to Image is a high-fidelity generative image model designed for photorealistic and cinematic still image creation from natural language prompts. The model focuses on visual realism, material accuracy, lighting consistency, and global coherence, making it suitable for professional creative workflows such as product photography, advertising visuals, editorial imagery, and concept art.

Unlike other WAN v2.6 variants that specialize in video generation, this model is optimized exclusively for single-frame image synthesis and does not generate motion or temporal outputs.

WAN v2.6 Text-to-Image is a generative AI model that creates high-quality still images from textual prompts. It supports pure text generation and optional reference image guidance, producing visually coherent images in PNG format. The model can generate up to five images per request and supports various output sizes, including custom resolutions.

• Prompt Quality Matters: Detailed and clear prompts improve visual fidelity.
• Reference Images Can Guide Style: Providing an image can help maintain consistent styles or aesthetics.
• Resolution Control: Choose presets or explicit width/height for fixed aspect ratio.
• Safety Checker: Enabled by default to ensure content compliance.
• image_size: square, square_hd, portrait, landscape
• max_images: (minimum 1, maximum 5)

• Include camera and lighting details for more polished outputs.
• Use negative_prompt to steer the model away from artifacts or irrelevant content.
• If style consistency is important, include a reference image.
• Set a seed for reproducible results across generations.
• Adjust image_size to match target platform dimensions.

• Pure Text-to-Image Generation: Produce images directly from text without any image input.
• Reference-Guided Generation: Use one reference image to guide style or composition.
• Multiple Outputs: Generate up to 5 images per request (actual number may vary).
• Flexible Output Sizes: Predefined presets or custom width/height supported.
• Negative Prompting: Control unwanted visual elements via negative prompt input.

• E-commerce product visuals and photography
• Advertising, branding, and lifestyle images
• Editorial and concept art
• Social media creatives
• Prototyping and visual ideation

• .Very abstract or vague prompts may lead to unpredictable outputs.
• Higher resolution requests may require longer processing time.
• Content moderation (safety checker) may modify or restrict output based on prompt.

• Designed for still image generation (no animation).
• Maximum of up to 5 images per request.
• Reference image guidance supports one image per generation session.
• Prompt length capped at 2000 characters, potentially limiting highly detailed descriptions