About this version
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(all funds go right back into making more loras)
V2 whats new:
-Trained on an additional 78 videos to 51K steps (from previously 25K steps)
-Golden Boy Style is consistent more often and more detailed than before.
-In theory videos should help with the motion, no reason to use v1 anymore IMO
-Try the new example workflow for my setup. I have switched from 16/32fps to 12/24fps videos to closely match that anime look in videos.
-Updated below my training process too if you wanna read how I did it in detail
What is this lora?
This is a style lora used to recreate the style of the 1995 anime series "Golden Boy". The series has beautiful mid-90s matte painting style backgrounds which came out great in the lora. And the way they draw the girls is awesome and really represents the art style of the period for raunchy comedies. But if you just want a mid-90's retro style anime look in wan then use this lora too, its really great at just doing older style anime in general. And it is perfect at doing detailed environmental shots. Its captioned on bikes, cars, delicious looking food, garbage etc, not just people. Its trained on the T2V model and therefore should also work for I2V.
Trigger word: Goldenboystyle
(You do not need to add any other descriptions for anime or animation style in the prompt, it should make it the style without any other prompting, it really is amazing).
All the main characters from the show (to be honest almost every character) is in the training data. Some more than others. The blonde woman (Madame President) comes out pretty much if you mention blonde women. If you describe any character from the show it will probably generate them accurately. The main character Kentaro Oe will also come out if prompted but only by description and not by name. The silly faces the characters make are also in the training data. There is naked breasts in the training data but no lower genitals.
Recommended Settings
It can run on default wan workflow just fine, and retains that real nostalgic retro animation style, but I recommend to mix this lora with the following optimization loras:
This lora (golden boy style) (strength 1.0)
Wan21_T2V_14B_lightx2V_cfg_step_destill_lora_rank32 (strength 0.8 or 1.0)
<Warning: Do NOT use teacache, SLG if using the above loras together, to avoid OOM on my 3090 I block swap 15 for higher res>
Plus use NAG by Kijai for negative prompt. I recommend adding "slow motion" to the negative if using the above other loras
For testing I run 480x832 resolution, then when I find something I like I run it again on 720x1280 resolution (with no upscale and 12 fps interpolated to 24 fps)
I have attached a sample workflow and the captions from the training data in zip. So simply download these above listed loras and put them in lora folder and use my workflow.
I haven't tested i2v, everything I post here is t2v by the way. So give i2v a try.
Dataset
A gargantuan 368 screen captures directly from the show plus 79 video clips. I took screenshots while rewatching with VLC player and made the clips using handbrake by hand. 768x576 resolution (original resolution of the upscaled releases) for the images and 288x384 for the clips.