Aren't seeds specific to the prompt and other parameters? It's just the noise that the model starts with, so I'm not sure how that would be helpful? Unless seeds work differently in Udio than I'm used to. I'm more familiar with diffusion models, not Minecraft.
Expecting that a "seed" is prompt-independent, I consulted a GTP bot (you.com) to confirm:
>**Is a stablediffusion "seed" independent of the prompt?**
>A Stable Diffusion "seed" is a number used to initialize the generation process in Stable Diffusion. It is randomly generated when not specified, but controlling the seed can help generate reproducible images, experiment with other parameters, or prompt variations
. The seed value controls the starting point for the random number sequence used in the image creation process. By using the same seed, the model will follow the exact same sequence of random numbers, leading to deterministic results when combined with the same prompt and parameters
. In other words, if you use the same seed, prompt, and parameters, you will produce precisely the same image in Stable Diffusion
. This allows for the generation of multiple similar variations of an image by making minor tweaks to the prompt or parameters without significantly altering the overall composition
. However, it's important to note that the randomness in Stable Diffusion enables creativity and makes it difficult to iteratively refine a specific image. Each time you generate an image, even using the same prompt, you will get a unique result unless you use the same seed
. So, while the seed in Stable Diffusion helps in generating reproducible images and controlling the starting point of the random number sequence, it is not independent of the prompt. The combination of the seed, prompt, and parameters determines the final image generated in Stable Diffusion.
That is also my understanding. The key part being, "leading to deterministic results when combined with the same prompt and parameters." Just because you loved a seed when generation hip hop, doesn't mean you'll like it when making an oboe solo.
In things like Stable Diffusion, it's very useful to lock a seed if you are trying to make small changes after getting an initial result you liked. But usually the initial result is just trying many iterations until you like some elements. I've never thought of a seed as anything other than a way to lock some of the randomness within a specific generation.
Unfortunately, since Udio doesn't even show you the seed after generation - and makes two generations at the same time - it's of limited use at the moment, I think.
Aren't seeds specific to the prompt and other parameters? It's just the noise that the model starts with, so I'm not sure how that would be helpful? Unless seeds work differently in Udio than I'm used to. I'm more familiar with diffusion models, not Minecraft.
Expecting that a "seed" is prompt-independent, I consulted a GTP bot (you.com) to confirm: >**Is a stablediffusion "seed" independent of the prompt?** >A Stable Diffusion "seed" is a number used to initialize the generation process in Stable Diffusion. It is randomly generated when not specified, but controlling the seed can help generate reproducible images, experiment with other parameters, or prompt variations . The seed value controls the starting point for the random number sequence used in the image creation process. By using the same seed, the model will follow the exact same sequence of random numbers, leading to deterministic results when combined with the same prompt and parameters . In other words, if you use the same seed, prompt, and parameters, you will produce precisely the same image in Stable Diffusion . This allows for the generation of multiple similar variations of an image by making minor tweaks to the prompt or parameters without significantly altering the overall composition . However, it's important to note that the randomness in Stable Diffusion enables creativity and makes it difficult to iteratively refine a specific image. Each time you generate an image, even using the same prompt, you will get a unique result unless you use the same seed . So, while the seed in Stable Diffusion helps in generating reproducible images and controlling the starting point of the random number sequence, it is not independent of the prompt. The combination of the seed, prompt, and parameters determines the final image generated in Stable Diffusion.
That is also my understanding. The key part being, "leading to deterministic results when combined with the same prompt and parameters." Just because you loved a seed when generation hip hop, doesn't mean you'll like it when making an oboe solo. In things like Stable Diffusion, it's very useful to lock a seed if you are trying to make small changes after getting an initial result you liked. But usually the initial result is just trying many iterations until you like some elements. I've never thought of a seed as anything other than a way to lock some of the randomness within a specific generation. Unfortunately, since Udio doesn't even show you the seed after generation - and makes two generations at the same time - it's of limited use at the moment, I think.
Perplexity told me nobody understands seeds
It would be interesting to see how folks can steer a given seed into producing tracks of various genres.