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wan-ai/wan-2-2/lora/text-to-image

Create cinematic images with LoRA-based style control, adjustable aspect ratios, inference steps, formats, and reproducible seeds.

URL or the path to the LoRA weights.
The scale of the LoRA weight. This is used to scale the LoRA weight before merging it with the base model.
Specifies the transformer to load the lora weight into. 'high' loads into the high-noise transformer, 'low' loads it into the low-noise transformer, while 'both' loads the LoRA into both transformers.

Introduction to WAN 2.2 LoRA Image Generator

Built upon the Wan2.2 model suite, it inherits the powerful Mixture-of-Experts (MoE) architecture and introduces new efficiency in cinematic-quality generation. The WAN 2.2 LoRA text-to-image system enables you to capture precise creative control across lighting, color tone, and composition while keeping compute demands manageable. WAN 2.2 LoRA text-to-image helps you generate lifelike visuals directly from written prompts. Designed for creators, marketing teams, and researchers, this generation tool transforms imagination into cinematic frames with effortless precision. You get fine-grained prompt control and realistic rendering in a flexible, open-source tool optimized for both professional use and individual experimentation. With LoRA-based adaptation, WAN 2.2 LoRA lets you plug in domain- or style-specific adapters via lora_path without retraining the base model, preserving MoE fidelity while adding targeted capabilities. You can modulate intensity through lora_scale for subtle grading or bold stylization, and choose high/low/both transformer injection to balance local texture detail with global consistency. In practice, WAN 2.2 LoRA delivers consistent composition, physically plausible lighting, and rich material response—ideal for brand look matching, art direction, and cinematic one-offs alike.

Examples of Creations Using WAN 2.2 LoRA

Related Playgrounds

Frequently Asked Questions

What exactly is wan 2.2 lora and how does it relate to text-to-image generation?

Wan 2.2 lora is an open-source video generation model developed by Alibaba Cloud that allows users to create cinematic-quality videos. It includes text-to-image capabilities as part of its hybrid text-to-video system, enabling the transformation of written prompts into detailed visual sequences.

How does wan 2.2 lora differ from previous versions, and does it improve text-to-image quality?

Compared with older releases like Wan 2.1, wan 2.2 lora offers enhanced training datasets, a Mixture-of-Experts architecture, and improved motion realism. Its text-to-image performance has also been refined, producing more accurate and aesthetically consistent frames in generated videos.

Who can benefit most from using wan 2.2 lora and its text-to-image features?

Wan 2.2 lora is ideal for filmmakers, animators, advertisers, and AI creators who need to produce visually rich video content. Its text-to-image functionality is particularly useful for concept artists and storytellers who turn scripts or scene descriptions into moving visuals.

What are the core capabilities of wan 2.2 lora when generating videos from text-to-image prompts?

The core capabilities of wan 2.2 lora include generating high-fidelity videos from text-to-image prompts, detailed control over lighting and composition, realistic motion, and support for hybrid input modes like text, image, or both combined.

What is the pricing structure for using wan 2.2 lora and text-to-image tools on Runcomfy?

Access to wan 2.2 lora on Runcomfy’s AI Playground is based on a credits system. Users can spend credits per generation task, including those that use text-to-image prompts, and new users receive complimentary trial credits upon registration.

Does wan 2.2 lora require a powerful GPU to handle text-to-image and video generation?

The wan 2.2 lora TI2V-5B model is optimized for consumer hardware, enabling smooth text-to-image and text-to-video generation even on a single GPU setup. Higher-end configurations, however, deliver faster results for 14B MoE models.

Can wan 2.2 lora be used on mobile browsers for quick text-to-image video creation?

Yes, wan 2.2 lora runs well through Runcomfy’s website, which is fully optimized for mobile browsers. Users can make text-to-image video generations directly without installing extra applications.

Are there any limitations when using wan 2.2 lora for large-scale text-to-image projects?

While wan 2.2 lora provides superior video quality and flexible text-to-image generation, large-scale projects may require significant compute time and credit consumption. Network stability and GPU performance can impact the rendering speed.

Where can I access wan 2.2 lora text-to-image model and share feedback?

You can access wan 2.2 lora’s text-to-image features at Runcomfy’s AI Playground website after logging in. If you encounter issues or have feedback, you can contact the team at hi@runcomfy.com for support or suggestions.