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Seedance 2.0 Emotional Coordinates Meet Valence-Arousal. I’ve been experimenting with valence-arousal prompting in Seedance 2.0 on mitte.ai, and surprisingly, a lot of it actually works. Most likely this should transfer to many other video/image models too. Before we start, I should mention that a lot of attempts can hit...

54,174 views • 3 months ago •via X (Twitter)

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Seedance 2.5: Some Tips / Thoughts & Prompt Share I knew from the start that the story in this video was a little too ambitious for 30 seconds. Normally, it could easily have been a 2+ minute sequence but I wanted to squeeze it into 30 seconds because there were a few specific things I wanted to test. I used six different character references for this video and wrote the final prompt in Chinese. The council members were actually supposed to speak in an alien language but I think because I asked for English subtitles and wrote the dialogue itself in English, Seedance decided to make them speak English too. Seedance 2.5 follows prompts extremely well. Actually, "extremely strictly" might be a better way to describe it. You need to be very careful with timing. If you ask for too many actions within a very short time window, you may get what feels like a sped-up version of the scene. On the other hand, if you assign too much time to an action that should happen quickly, the result can feel unnaturally slow or almost like slow motion. At least, these are both things I've run into during my tests. The same applies when you use a shot list without timestamps. Depending on how much you ask the model to fit into each shot, the pacing can still end up too fast or too slow. Finding the right balance between the amount of action and the time available is very important. Another thing I noticed is that Seedance 2.5 can be very literal about motion and state transitions. For example, if a character is facing the camera and you want to see their back in the next moment, simply describing the next shot from behind may not be enough. If you don't explicitly say that the character turns around, the model can sometimes morph or transition directly into the rear view without performing the actual turn. Seedance 2.0 would usually handle these things on its own. So it helps to think not only about what you want to see but also how the scene gets there. Once you identify these kinds of issues and explicitly correct them in the prompt, you can usually get a much cleaner result. For scenes with multiple characters, dialogue and a lot of specific details, the 5,000-character prompt limit can also become restrictive in English. Sometimes there simply isn't enough room to describe everything properly. That's where Chinese prompts become useful. My original English prompt clearly needed much more detail, so I rewrote it in Chinese and used the extra space to describe the scene more precisely. You can see the result in the video. Prompt in the replies.

Kōda

14,687 views • 17 days ago

Okay! WAN 3.0 let's go! Whenever I test a new video model, the first thing I always do is test how well it handles language nuance. And yup, WAN 3.0 did it pretty well. I tested it via Venice And nope, this is not sponsored content. I use my own money. I’ve always used Venice for some of my more erotic video work because it’s uncensored and awesome. As simple as that. 👍😎 The reason i quote this post because people keep asking like heeey where do you generate uncensored stuff. Only two places right now, either Venice or D-zine. So there you go! bUTTTT!!!! If there's more, let me know 👍 I guess I could say that WAN 3.0 is probably the closest model to Seedance 2.0 in terms of quality right now. For my very specific needs, I love making dialogue-driven scenes, and WAN 3.0 is absolutely fine for that. In fact, I have to say it’s much better than MiniMax H3 in some ways. But of course, keep in mind that every model has its own strengths and flaws. Unfortunately, when it comes to very precise, extremely dynamic scenes, like what I usually do with my Sari & Ploy series, especially fight scenes, it’s not quite there yet. The only other problem is that sometimes, if you’re unlucky, WAN 3.0 can produce this weird audio artifact. I don’t really know how to explain it. It’s kind of like that flanger-like sound you sometimes get when generating with Seedance. Yeah, WAN 3.0 can occasionally have the same problem, LOL 😆 But performance-wise, for my use case, especially conversational scenes, candid moments, and the kind of raw camera movement I’ve always loved, WAN 3.0 really delivers. For me personally, this is where things start to get really exciting, especially when I think about series production. I can now be much more strategic about which model I use for each type of scene. For example, I’ll still use Seedance 2.0 and 2.5 mainly for more extreme, dynamic fight scenes, while conversational scenes are something I can comfortably do with WAN 3.0. MiniMax H3, meanwhile, feels more like the experimental option. I personally think H3 is a very unique model. Maybe it’s not as powerful for conversational scenes, but it definitely has its own flavor and can produce things that feel different from the others. But you know what, I can’t help it. I really need to say this LOL. It’s funny how a model like Grok Imagine Video used to be sooo good, and I praised it a lot, but now it feels like an extreme slot machine. At this point, I sometimes feel like it’s mostly being hyped by people who just want to glaze Elon Musk. Somehow, it actually went backwards. 😅 And it’s interesting how models like Seedance 1.5 and the previous WAN versions have improved so much over time. It feels very ironic because I wasn’t even a fan of Seedance back then, and the same goes for WAN. But yeah, at the end of the day is the output quality that matters for me.
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Okay! WAN 3.0 let's go! Whenever I test a new video model, the first thing I always do is test how well it handles language nuance. And yup, WAN 3.0 did it pretty well. I tested it via Venice And nope, this is not sponsored content. I use my own money. I’ve always used Venice for some of my more erotic video work because it’s uncensored and awesome. As simple as that. 👍😎 The reason i quote this post because people keep asking like heeey where do you generate uncensored stuff. Only two places right now, either Venice or D-zine. So there you go! bUTTTT!!!! If there's more, let me know 👍 I guess I could say that WAN 3.0 is probably the closest model to Seedance 2.0 in terms of quality right now. For my very specific needs, I love making dialogue-driven scenes, and WAN 3.0 is absolutely fine for that. In fact, I have to say it’s much better than MiniMax H3 in some ways. But of course, keep in mind that every model has its own strengths and flaws. Unfortunately, when it comes to very precise, extremely dynamic scenes, like what I usually do with my Sari & Ploy series, especially fight scenes, it’s not quite there yet. The only other problem is that sometimes, if you’re unlucky, WAN 3.0 can produce this weird audio artifact. I don’t really know how to explain it. It’s kind of like that flanger-like sound you sometimes get when generating with Seedance. Yeah, WAN 3.0 can occasionally have the same problem, LOL 😆 But performance-wise, for my use case, especially conversational scenes, candid moments, and the kind of raw camera movement I’ve always loved, WAN 3.0 really delivers. For me personally, this is where things start to get really exciting, especially when I think about series production. I can now be much more strategic about which model I use for each type of scene. For example, I’ll still use Seedance 2.0 and 2.5 mainly for more extreme, dynamic fight scenes, while conversational scenes are something I can comfortably do with WAN 3.0. MiniMax H3, meanwhile, feels more like the experimental option. I personally think H3 is a very unique model. Maybe it’s not as powerful for conversational scenes, but it definitely has its own flavor and can produce things that feel different from the others. But you know what, I can’t help it. I really need to say this LOL. It’s funny how a model like Grok Imagine Video used to be sooo good, and I praised it a lot, but now it feels like an extreme slot machine. At this point, I sometimes feel like it’s mostly being hyped by people who just want to glaze Elon Musk. Somehow, it actually went backwards. 😅 And it’s interesting how models like Seedance 1.5 and the previous WAN versions have improved so much over time. It feels very ironic because I wasn’t even a fan of Seedance back then, and the same goes for WAN. But yeah, at the end of the day is the output quality that matters for me.

MXVDXN // DAN

185,028 views • 5 days ago

Seedance 2.0 vs. Seedance 2.0 Mini Actually, I tested this directly in Dreamina. It's already available on my account, but it seems Dreamina hasn't announced it on their social media yet 😆 Anyway, here are my first impressions. Basically, it's not bad... not bad at all. However, when I tested it with something more action-oriented, the difference was huge. It depends on your goal, but I don't think I'll use Seedance 2.0 Mini for action-heavy prompts. I could be wrong though, and I need to do more testing. For something that looks simpler and more natural, Seedance 2.0 Mini is surprisingly good. You can still notice some glitches or artifacts from time to time, but overall it's pretty decent. It's definitely not worse than the current version of Grok Imagine Video 😂😂In fact, this is what Grok Imagine should be. They're almost there but Instead, they're going backwards. I think only Tetsuo and Freeze keep saying Grok Imagine is the best model in the world LMAO 🤣🤣🤣 Still, I think Seedance 2.0 Mini delivers exactly what it promises. It's cheaper, faster, although it comes with a slight sacrifice in quality (well obviously it's a mini version of it), although not as much as I expected based on my initial tests. I think in the end, you need to identify your needs and decide when to use Mini, when to use Fast, and when to use the full version. At this stage, I can't say much yet, but I'll keep exploring it further. Meanwhile, check out the video comparison I made here.

MXVDXN // DAN

31,230 views • 2 months ago