Wan 2.7 Blog

Wan 2.2 Remix v3 workflow guide with practical tips. Learn how Remix differs from I2V and T2V, which NSFW checkpoint to download (5B vs 14B), what safetensors naming conventions mean, and the prompt adjustments that actually improve Remix output — based on 300+ test generations.

How to train Wan 2.2 LoRAs for character consistency in I2V and T2V workflows. Covers T2V vs I2V LoRA differences, AI Toolkit training settings for 12GB VRAM, face drift causes and fixes, and when to train a LoRA instead of relying on prompts or reference images.

Discover 15 practical Wan 2.7 tips and lesser-known features — from prompt expansion tricks and seed locking to ComfyUI optimization, credit-saving workflows, and multi-reference techniques that experienced users rely on.

I tested over 2,000 prompts on Wan 2.2 across image-to-video, text-to-video, and Remix workflows. Here is exactly how to structure your prompts for camera control, character consistency, and motion quality.

A practical guide to Wan 2.7 audio capabilities: how voice reference works, what audio cues are available, how to assign voices to multiple characters, and how to get synced audio output that matches your video.

Complete guide to downloading Wan 2.7 — where to find the real weights, how to verify them, system requirements for each model size, and step-by-step setup for local inference and ComfyUI.