Optimizing Image Generation with Detailed Prompting Techniques

Prompting effectively can significantly enhance image quality in AI-generated artwork.

### Optimizing Image Generation with Effective Prompting Techniques
* 🏡 "I've been moving to a new house, so the setup for this video isn't ideal, and I apologize for any **distractions**."
* 🖼 Today, the focus is on blocks prompting, emphasizing the **importance of specific, detailed prompts** to achieve **high-quality images**, rather than simple comma-separated phrases.
* 🔍 The video will guide viewers through optimizing their prompts using a workflow that includes the **clip text and code**, which can **significantly improve the generated images**.
* 👩 For example, specifying details like "**25-year-old woman**" enhances the realism and detail in the generated portraits, while including **ethnicity** can further refine the output.
* 💡 The use of descriptive language, such as detailing features like **"cold eyes"** or **"glossy skin,"** can yield more accurate and visually appealing results.
* 📊 The video also highlights that using **advanced prompt generation tools**, like ChatGPT or Copilot, can assist in crafting **detailed prompts** that lead to **better image generation**.
* 🌄 Additionally, the same principles apply to landscape images, where a **more descriptive prompt** will lead to **richer and more diverse outputs**.
* 📈 Ultimately, the key takeaway is that **detailed descriptions in prompts** are crucial for achieving **high-quality image results** in the flux model, making it essential for users to **enhance their prompting skills**.

Hello everyone, welcome back to the channel. So first, before we begin with today's topic, I would like to address that I've been moving to a new house. Actually, I'm in the new house right now, so you can see that the setup is not ideal. It's not like the previous videos, so I apologize for that. Also, I'm missing a door there. There's no door for now. It's going to be like this, so if it is too distracting, let me know in the comments down below, and I'll probably put the eain just to hide that section there. All right, so move on to today's topic. I'm going to talk about blocks prompting. A lot of people say that the way that flux is, it's quite hard to get the actual image because of the prompt. You need to have a very specific prompt. You may have seen reddits talking about how you can output comma-separated prompts like one girl anime blonde, and then all of those are separated by commas. Instead, you need actual text. You need complete phrases, sentences just to

get a good prompt. So, as you can see on the screen here, I have a prompt. If you'd like to get these types of images, this is the video for you. Also, if your images are like this, where you have a little bit of deformities, again, this is going to be a video for you. Now, if you're already an expert in prompting, or you are a really good prompt engineer and you're able to get images like this, then I don't think you are going to get any benefit watching this video. You can easily skip it. I've already made a video on prompting before. At that time, I talked a little bit in more detail on how Comi was working with those texts, what was happening in the conditioning node. In today's video, I'm not going to go into that much detail. Instead, we are just going to look at the workflow, mainly the clip text and code, and I'm going to talk about how you can optimize your prompt in order to get images that look like these ones for the workflow. I'm using

the basic workflow. We have the load diffusion model, the Dual clip loader, load VA. Those are pretty standard. If you watched my previous video, you know that I've been using this workflow for quite a while. I'm also using the clip text en code for flux. That is because it provides two fields for the prompt. The top one is for the clip L, and then the bottom one is going to be for this T5 XXL one. This FBA does not matter if you have the fp16; you can put that there. All right, so if you're getting images like these, which is pretty okay, except for this section here, it's mainly because you are typing your prop like this: a portrait of a woman. And right now, you're telling the model to pick from everything that was trained on women and just make a portrait out of it. So, if you really want to get those high-quality images like this one, where you can see the skin, the eyes, there's a lot of detail in it, or if you really want to go

above you can get these types of photographic images as well, and it's all by The Prompt. I'm not using any Laura. I'm not using any fine-tune version of the flux model. It is the flux one Dev, the fb8 version, and the only thing that I'm changing is the pro. Let's start with this one. I have my seed as fixed. I will also be sharing the workflows, so if you can just drag the images inside of conf, you want if you need any of the settings from the workflow here. So just putting it as a portrait of a woman, we get this type of image. Now, if you add a little bit more detail to that woman, let's say you see a 25-year-old woman. And this time when you click on Q promp, this is the image that we get, and the style is basically coming from the top one here. I have the anime style drawing. That's basically where the style is coming. Let's actually remove the style, and we can just copy everything there, and let's

do one more now. This is pretty good. You can see that the 25-year-old is coming out. We have the stylish hair, we have the clothes there, we have that v-neck also showing. So if you really want to get a good image, adding the age of your subject will influence that final image. All right, so now we have a realistic. It probably was trying to generate a necklace, but there were nothing in that necklace there. So I think just generating a new seed will probably fix it, or we can add to the prompt. But we can see in the face now we have a little bit more detail in it, but we can do better. So we can go back, and right now we have a 25-year-old woman. We can also add the ethnicity to this section here. Let's say we do a 25-year-old. I think this will have to go behind the old, so it's going to be like this: 25-year-old African woman. Let's give this one a go. Oh, by the way, there's a window.

here and we don't have curtains right now, so that's why you're saying the webcam a little bit washed out. So now we can see that we have a person with a dark skin tone, also have K ears, which is usually associated with African women. You can also do American-African, you can do Japanese, you can do Chinese, you can do all of that in this here, just replace this section here. Now aside from that, you can also describe the features that you want to see. I already have one here. This is not the right one. This one here. So in this one, I went a little bit more. I have 25 years old, I have cold eyes, and this is giving the blue in the eye. Usually when you say hot, it's associated with red, and then when you say cold, it's associated with blue in photography at least. We have glossy skin, no makeup, we have skin pose, we have texture clearly visible in focus, and that is what we get here. Let's try to do from a different location, so this time I've changed

African to American. Maybe it's having difficulty generating the blue eyes for African women. So even with this, it's quite short. Like you can't come up with this PRP. We are still getting really good images. That's why the flux model is really good at generating these close-up portraits of people. It's also good at generating landscapes. I will show you that in the next section. Okay, so I'm not going to call this blue, but you get the point there. You can keep on adding. Let me show you the example for that monochrome photography. And I think I need to copy this prop into a notepad here. This is the prop. So actually, yeah, the scroll bar is still there. So it's still scrolling at the top. Have a description of what I'm looking for. And then we have this, of course, the monochrome is coming from this monochromatic frame. And then we have a description for the complexion, skin texture, the eyes, the brows, cheeks, bone, jawline, and neck. And then we have the hair expression at the end. Now, of course,

I did not come up with this PRP myself. I just used LLM to generate the prompt for me. So right now on this machine, I do not have CHBT. If you have CHBT, you can use that. Otherwise, you can use Copilot. I have Copilot on this one, so it's basically the same thing. This CHBD4 and my prompt was to write a description of a photo portrait of a woman in as much detail as possible, focusing on skin textures and features. I wanted that, and of course, it gave me all of this. You can also modify this prompt. You can use CHBT. I think that's going to be the best. But as you can see, even this long, like almost one-page length PRP worked, and I did not notice any difference in the time. I think I still have everything here. This is number two, yes. So it's basically the third generation I've done this. This is where I've started. This is the first one where it generated, basically loaded the model, and you can see that on an Nvidia RTX 4070 TI. It

took 33 seconds to generate the first image. This is the second one, again same time, and then the third time. It probably took a little bit longer because of the clip text. Had to encode that massive paragraph, like basically full-page text. So, it's 37. When you change the text back to something simple, it goes back to 33, 34. And you can see it's pretty consistent. Now next, let's go back to this last image that we generated. And now I'm going to add elements in the background as well. So, this was just the subject. You can describe the foreground if you have any. Like if your subject is the middle ground, and then you have foreground, middle ground, and then the background, you can describe that for too. Maybe you can say a go-to frame. So, this would be an example of describing the foreground if you have bushes. If you're trying to do a more complex scene like bushes in the foreground, and then we have the character in the middle ground, and then

we have some background can do it like this so foreground sub and then you can add the background to now if you don't want to come up with these text one example I've already given you is to use existing llm so those would be those online features that we have ch GPT co-pilot otherwise you can also install llms inside of confy UI you can go into the manager custom nodes the top here just search for llm and there are a couple of llm that you can use I think we also have Ama now there are a couple of nodes here which says conf UI AMA maybe this would work so let's give this one a try basically it says describe the image shortly in this it's using the L lava to describe the image and you can get a prop like this I think it should if you change the model you should be able to generate from just Tex as well but there are those examples you'll of course need the RAM and vram depending on which model you are using all right.

So we can see that now we have that frame. We have the portrait. We also have the lighting, not lightning, sorry, lighting, um, studio lighting shining from the back, and it's clearly here. So if you're able to describe your subject, the foreground, background, the lighting condition, if you can go and describe the clothes that they are wearing, whether they are wearing makeup or no makeup, all of that is going to affect your final generation, but that's mainly for people. Let's focus on landscape. I've just changed the clip text and code to say a beautiful landscape. So you will see a similar pattern here that if your prop is generic, you are going to get one of the generic images from Flux. Okay, so this almost looks like Windows XP wallpaper, and yeah, almost similar ones, right? But now let's actually try to use the copilot. And so again, even though I've said a single paragraph, it just feels like um, copilot is not able to follow those props to the letter as ChatGPT is able to do it. But anyways, copying this into the prompt, let's

generate and see what we get. And just in case you're curious what the problem is, this is the title. Came up with the title, and then we have different, I guess, different sides, different topics of it, invitation as well, okay? And this is the image that we get. And you can, of course, add the style that you want to it. So if you want fantasy anime, you can do all of that. Now there's, of course, luras. You can use luras that are n is specific to just style your image, so you can use that as well. And this technique here of just getting an llm to generate your prop and then just copy and paste it there will work on any web UI. So if you have fukas, you have stable diffusion Forge, I believe stable diffusion Forge can also do flux. Now there was an update where it's able to generate images using flux. Last time I checked, I believe was last week. It cannot do control net IP adapter. I did not try the luras, but it

cannot do those yet, but it can generate images just from a text prompt. So, you can use that inside there as well, and people complaining that you need to come up with a really good prompt in order to generate images. It's not really true because I can say I think I will have to change the resolution for this text because I'm trying to generate something on the left and something on the right, right? And as you can see, it's simple. The only descriptive part here is that I have on the left here and then on the right side here. That's it. I'm pretty sure it should be able to generate something like this. There you have it. We have Batman on the left side and then Superman is on the right side. It added this blur. This is in most of the images I've seen, like even the not these ones, but you can see like we have blurring back here. We have here as well. We have this blood. If you don't want that, you can prompt it to have something

in the background that is still in the focus. Okay, so I hope this video showed you that you don't really need a good prompt as long as you're able to describe what you need. And like I mentioned, this video is nothing new. It's just that when using flux, everything that you've learned for SD 1.5, SD 2.0, 2.1, and SD XL comes into play more here. The flux clips really like this descriptive text, so if you can come up with those descriptive texts on your own, you can paste it there. You are going to get really good, amazing images. All right, thank you for watching. If you like this video, like it. You'll probably get a popup to watch another one if you want to. And if you have not subscribed, click on the Subscribe button. It helps the channel. Thank you to all. I will see you in the next one.

Improve your flux image generation with prompts, explained!

Code Crafters Corner

Optimizing Image Prompts for Better Results

The speaker is in a new house with a different setup and addresses the distraction before moving on to the topic of block prompting.

They emphasize the importance of using complete phrases and sentences for prompts, rather than comma-separated keywords, to get better image outputs.

The video will focus on optimizing prompts using the clip text and code workflow, aiming to help viewers achieve high-quality images with more detail.

Generating Photographic Images with The Prompt

The images are generated using the Flux model's dev version, with the pro setting as the only change.

Adding details like age and ethnicity to the prompt influences the final image, resulting in more realistic portrayals.

Describing specific features, such as eye color and skin texture, further enhances the accuracy of the generated images.

Generating Portraits and Landscapes with AI

The AI model is effective in generating close-up portraits and landscapes, despite challenges in creating specific features like blue eyes for African women.

The process involves using a detailed prompt, generated by a language model, to describe the desired photo portrait.

The user has access to tools like Copilot for prompt generation and modification, aiming for a comprehensive description of skin textures and features.

Image generation took 33-37 seconds, with longer times for complex text.

Consistent timing was observed when using simple text.

Adding foreground and background elements to the image description can create a more complex scene, and using existing LLMs or installing them in the UI can help with image description.

The description of the subject, foreground, background, and lighting is crucial for generating images, especially for people.

Generic props lead to similar and generic images, while using AI tools like Copilot can help generate specific prompts for image creation.

The technique of using a language model to generate props and then copying them into the image generation tool can be applied to various web UIs.

The image generation tool can create visuals from simple text prompts, challenging the notion that a perfect prompt is necessary.

By describing the desired elements, such as positioning and focus, users can achieve impressive results, like generating images of Batman and Superman.

The tool's effectiveness is enhanced by using descriptive text, making it easier to produce amazing images.