YAML Metadata Warning:empty or missing yaml metadata in repo card
Check out the documentation for more information.
This is a Lora with enhanced walking posture for wan2.1/2.2, which can make the generated walking video more smooth and natural.
This LoRa has been updated to Wan 2.2, and three versions will be released this time,Greatly optimized the problem of small steps in Wan 2.1 version:
Lite: Training with fewer steps, avoids issues with holding a phone or causing wrinkles, but the walking posture isn't quite perfect.
Slow: Training with more steps, occasionally causing issues with holding a phone, but the walking motion is more sensual. Videos generated at a 16-fps frame rate will appear in slow motion.
Normal: Training with more steps, occasionally causing issues with holding a phone, but the walking motion is more sensual. Videos generated at a 16-fps frame rate are at normal speed.
i2v version updated to v3.0
Improved the issue of slow motion when characters walk, fixing it to a normal walking speed
i2v version updated to v2.0
This version has optimized the stability of walking, avoiding strange walking movements and adding some hand movements
The i2v_v2.0 version also adds some hand movements, such as:
adjusted her hair with hand Or
hands on hips I tried using Wan2.1 to generate videos of characters walking behind their backs but was unsuccessful. There were always instances of people walking backwards or making strange movements. So I trained this Lora, which will improve the success rate of generating walking back videos.
Trigger word:
walking from behind Perhaps increasing the number of sampling steps can lead to improvement
Sample 1:
the girl is walking Steps: 8, CFG scale: 1, Sampler: Euler, Seed: 12433454397564
Sample 2 (longer prompt)
The girl is walking directly toward the camera with confident, sensual strides, hands resting lightly on her hips to emphasize their sway, her long wavy blonde hair flowing naturally, deep neckline of the white top drawing attention as soft window light caresses her figure.