[Return]

Report a post

Preview
>>16332
> I didn't realize so much image preparation was needed.

Depends on what you're trying to achieve and the tools you've got available. If I had uncensored access to Wan 2.6 (or perhaps Grok) I could probably get more done with less prep.

> If I understand correctly, the video generation is only used to create the frames between two images?

There's a Wan 2.2 workflow for creating video that goes from a start image to a final image, but I only used that to create a couple of brief transitions.

> Does that imply that the seed is maintained throughout your entire project?

If by "seed" you mean the random number seed, no. Each clip has its own seed. If you mean seed image, as in the first image you start with for I2V, again no.

A big limitation of Wan 2.2 is that it's really only good (without a whole lot of imperfect help) at creating clips that are a mere 5 seconds long... a little shorter if you go at 24 fps instead of the default 16 fps, a little longer if you drop to 12 fps (at the risk of inducing an unwanted slo-mo effect).

The typical partial remedy is SVI (Stable Video Infinity), which, at the simplest level passes the last image of one clip on as the initial image for the next clip. SVI is more sophisticated than that, however, in ways I don’t know quite enough to explain, so it’s better than just capturing the last image from a clip and then doing a separate round of I2V yourself.

But not always much better. If your first clip shows two people, but ends in a close-up of just one of those people, good luck making that other person appear again correctly, if at all. Same problem if parts of the scenery you want to have come back later are no longer visible in that last frame.

> Do you think WANGP (in pinokio) with LTX2 could handle this kind of work?

Can’t say. I’ve only dabbled a bit with LTX2 and didn’t get very far. It’s certainly possibly that, given a bit more persistence on my part, I might have discovered LTX2 could solve some of my problems. Or not. I don’t know.

> One last question: Is the image of the sliced ​​breast an image you created and placed as the final frame?

Nope. I used a LoRA (actually a high/low noise pair of LoRAs) called “cakeify” for that: https://civitai.com/models/1344147/cakeify-effect-wan21-i2v-lora (Small mystery: That link only has one LoRA, not a high/low pair. I guess I found the pair on huggingface.co,)

This LoRA is cleverly disguised as something that merely helps create effects like cutting a slice of cake. This is probably how it manages to survive on civitai.com without getting banned. But, as the dog example devilishly hints at, it can be used for more nefarious purposes where cake layers are not the only thing that cutting reveals.

The problem I’ve had is that the results are horribly random for something like cutting a large breast, so that I just had to set up to generate multiple runs, each increment the randomizer seed, hoping for a good result. The run I used for this rough draft still isn’t quite what I want, but it’s not bad. Here’s one of the many bad results: https://files.catbox.moe/px2g4z.mp4

Not only are the results of this cutting weird and wrong, but I very much need the cutting action to conclude at the end of a clip. It’s not the kind of thing that a second clip can pick up and run with. I had to drop to 12 fps just to give the cutting action more time to complete.

I’ve posted the starter image I used for the cutting clip. That image in and of itself was a pain to create, getting the knife positioned just so. Here’s the prompt that, combined with that image, may or may not randomly give you a good result:

The woman against the wall, Beth, is sobbing uncontrollably. She is trapped by her restraints. Beth's arms are immobilized. She is pinned against the wall. The metal cuffs around Beth's arms are anchored to the wall.

Another woman, Nancy, steps in from the left. Nancy is a slender, petite blonde with short hair in a pixie cut. Nancy is completely naked, with pert upturned breasts and puffy nipples.

Nancy is calm, but for Beth this is a situation of extreme terror.

Nancy has a knife that she holds next to Pam's left breast.

Beth is wailing uncontrollably, "Please stop! Stop! It hurts!", mouth agape, dilated pupils, trembling muscles, sharp inhalation, hysterical scream.

There is NO NEED to delay while seeking a place to start cutting. The knife starts cutting into Beth's breast IMMEDIATELY, from the very first moment of this clip, as soon as the knife changes position, with no delay.

Nancy's knife cuts swiftly across the entire fullness of Beth's breast from sternum to the outermost edge to c4k3 cakeify it. Wherever the knife touches Beth's skin, it produces blood. As the knife slices the breast away from Pam's body, the inside of the breast is revealed to a bloody hash of meat and fat wrapped in a thin bloody skin.

The knife cuts cleanly through, severing the entire left breast which falls away to the floor, and the contents of the breast are revealed. Blood drips from where the knife made a flat, shear cut through Pam's flesh.

Beth is still wailing, her eyes wide with terror.

NOTHING REGROWS. NOTHING REGENERATES. NOTHING BULGES OUT OF THE CUT.


I also added the words “regrow, regenerate” to the negative prompt. Despite all that, Wan 2.2 really, really wants to make missing body parts spontaneously regrow, and I’ll have find ways to fight that when I continue the video with lopping off the remaining tit.

One experiment I’m going to try is to photoshop the knife at a half way point through the cut, hoping for a better chance at getting the right cutting trajectory, use a first/last image clip to move the knife through that path and then find out if cakeify is willing to cut off the entire breast after only doing half of the cutting motion itself.

I’ll follow up later with a post about what went into making the starter image of the woman restrained against the wall.
Post number No.16334
Board Artificial Intelligence
Optional. Describe what's wrong with it.