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Tip 8: Use Seed Parameters to Modify Images Again

Note: Personally, I think this technique has great potential in the future, but currently Midjourney's implementation is still relatively average and the effect cannot be guaranteed.

The official community help documentation also mentions that this feature is very unstable in V5.

For more details, you can refer to the Midjourney Official FAQ chapter that I have compiled.

You may encounter a scenario like this:

  1. You input a prompt and the machine generates four images.
  2. After looking at the four photos, you find one of them okay but not satisfied with the rest. Then you modify the prompt and generate some more using the machine.
  3. But you are not satisfied with any of these generated photos and wonder why it is so.
  4. Then why not make modifications on top of the first generated image?

Based on one generation result for secondary prompt modification should theoretically work.

Taking Cyberpunk avatars as an example, I first used above-mentioned prompts to generate four images.

Then click on emoji button (Figure 1) at upper right corner of message box, type "envelope" in input box (Figure 2), then click envelope emoji (Figure 3). Bot will send seed number to you.

I then modified the prompt for the cyberpunk avatar above to change the background to China Town, at which point it is important to note that

The new prompt doesn't just change the background, you need to bring in all the previous prompts. The prompt only changes the background part. Finally, bring the seed parameter. Here is my example:

Original prompt:

{img url} avatar, cyberpunk robot face, holographic VR glasses,holographic cyberpunk clothing, neon-lit cityscape background, Cyberpunk, by Josan Gonzalez --s 500 --iw 1

New prompt (the seed code is just an example, you have to fill in your own seed):

{img url} avatar, cyberpunk robot face, holographic VR glasses,holographic cyberpunk clothing, China Town background, Cyberpunk, by Josan Gonzalez --s 500 --iw 1 --seed 758242567

Here are the generated results (the left image is the original image, the right image is generated after using seed), you can see that the background did change, but the appearance of people also changed a little 😂

The effect is not very good, but I think it is worth exploring, so as to improve the success rate of progressive optimization: the