Thanks man. Forums like this one provided by OpenAI, as well as platforms like Reddit, frequently serve as the breeding grounds for new discoveries. On social platforms, influencers often disseminate these ideas, presenting them as if they were their own. Consequently, their followers end up relying solely on the influencer. That’s my primary concern.
I think the API format is beneficial because it’s what ChatGPT would naturally generate on its own. However, what seems even more crucial is to ask ChatGPT to review the guidelines and to respect the directive of not changing the prompt, provided the guidelines are met, before passing it on to DALL-E.
When ChatGPT is confident that it’s not breaching any rules, its secondary objective becomes user satisfaction. Perhaps this is why the approach is effective.
Using seeds brings consistency to similar images. To achieve this, one can craft a near-identical prompt and use the same seed, making DALL-E’s image creation predictable. Since DALL-E produces the image, this approach works. On the other hand, when an image is fed into GPT-V, it’s transformed into a numerical format, which the model later deciphers. This isn’t the same as having all the components for an exact reproduction.
Nevertheless, if the aim is merely to use the image as a reference, OpenAI’s new update allows users to seamlessly switch between GPT-V and DALL-E within the same interface. But I haven’t had the opportunity to test it out yet.
No kidding. I have seen this structure everywhere as “the” way to prompt ChatGPT.
Congratulations on creating it though. We know the truth.
Can I just say that it’s hilarious that they release Dall-E for ChatGPT and people are resorting to psuedo-objects for control If only there was some sort of way to send a direct object to a server… hmm… Some sort of interface with a single, non-opinionated purpose… hmmm…
Welcome to our community! It’s important to note that the DallE 2 API does not support including a ‘seed’ in the post request. OpenAI has recently introduced DallE 3 to ChatGPT, and there individuals are exploring the use of JSON format for asking ChatGPT to reproduce the images with a seed value.
seed value defines the similarity of the image.
Prompt like this :
Create an image with the parameters below this line of text, before creating the image show me the parameters you are going to use and do not change anything.
Send this JSON data to the image generator, do not modify anything. If you have to modify this JSON data, please let me know and tell me why in your reply.
"A Red Eagle.".
"seeds":  }
Hello! The ‘seeds’ will work, somewhat, but I found a formula today that has worked finally for me. Basically, I asked Chat to tell me WHY the DallE was having issues giving me consistent images, even with the same prompts. I then had it teach me the best way for it to remember the context/info/style/etc. in a new chat another day. This is what it instructed me to do. So far so good, only compliant is that I have to do it one chat at a time because “content guidelines” (DAN/jailbreak only work for the first generation in the chat for me anyways before i get booted. )
Format for context in each prompt. This is how I am getting consistency for mine.
" 1. Color Palette:
Primary Colors: Harmonious shades of pink and green.
Pink: A soft, pastel pink that brings out the feminine and elegant vibe of the brand.
Green: A muted, pastel green that resonates with the cannabis theme, signifying growth and freshness.
2. Elements & Icons:
Cannabis Leaves: Elegant and refined cannabis leaf designs that are subtly incorporated into various elements without being overpowering.
Digital Marketing Symbols: Modern icons like laptops, smartphones, and social media logos (Instagram, Facebook, Twitter, Pinterest) that tie into the digital nature of the brand.
3. Artistic Touches:
Background Designs: Use delicate and sophisticated artistic patterns in the backgrounds. These can be inspired by natural elements, florals, or abstract designs that match the brand’s elegance.
Borders & Dividers: Soft, flowing lines with occasional hints of the cannabis leaf motifs, ensuring a cohesive and integrated design.
Stick to fonts that are sleek, modern, and easy to read. A combination of a script font for headings (to bring out the brand’s elegance) and a sans-serif font for body text works well.
Whenever using photos or images, opt for ones that have a pastel or muted color scheme to match the overall aesthetic. Images should evoke feelings of creativity, elegance, and professionalism.
6. Layout & Composition:
Balance: Ensure a balanced layout with a mix of images, text, and white space.
Hierarchy: Important elements, like headlines or call-to-action buttons, should be prominently placed.
Consistency: Maintain consistency in the placement of logos, icons, and other brand elements across different assets.
EXAMPLE PROMPT: " **-**Square vector design of a featured article section inspired by modern digital marketing aesthetics, intertwined with harmonious pinks and greens. The layout showcases a placeholder for an image, a headline in pink, and a short introduction text. Interspersed with the buttons are elegant cannabis leaf designs and digital marketing symbols, maintaining the brand’s elegant and girly aesthetic. The section is adorned with elements that signify creativity and branding, capturing the essence of the cannabis industry’s vibrancy and legacy."
I am posting the full Case Study today, stand by if you want to read the in detail and see the images generated it’ll be up on my behance later today (cant add link so gotta find me there @theherbalcreative anyways yall are amazing and so smart! love reading all of this! i will try to add an image here to show in case you never make it to see the full project.
Recreating a specific image using seed may not be 100% safe.
The following two images were generated twice in different sessions, using the same size, prompt, seed.
"Japanese anime style. In a dimly lit dungeon, a fearsome beast with sharp claws and glowing blue eyes stands guard, ready to attack any intruder. "
Seeing doesn’t seem to be working correctly today or yesterday. Using a seed and prompt and regenerated it 3 times, i get 3 different results!! Is there some sort of bug or technical issue with seeding lately or images in general as its consistently deviating from clear prompts even when you tell it not to deviate.
You are talking a foreign language with your commands talk. I am a photographer and graphic designer! I don’t have access to APIs or anything of that kind. I just use the web based IU for ChatGPT.
When i would find a base image then seed it by assigning a number , i.e. Seed 1 (copying the base image’s prompt giving by Dalle) if i got a result and then regenerated it 3 times, it would show me 3 identical images. If I try that same process today, it doesn’t give three identical images. that’s my point.
So you are saying using that will give me an identical image with the the new change like a seeded image would? I can get by with instructions like this once i know it.
But as someone who does not work in OpenAI at all, this is just making things complicated and not for the regular user. Great if like you you know codes and commands, but not for someone who doesn’t code. The guess work unless you are on here daily checking the tips and tricks its impossible to stay on top off.
The seeding solution as of Monday or whenever it was last working is then no longer ever going to work? I mean, how are you supposed to keep on top of these subtle things and have a productive suggestion, if the goal posts keep moving. I’m just super frustrated with today because i’ve been trying for hours to get a base image starting point and then tweak it with subtle changes… the old way, but obviously for the past 48 hours or more has not been working. So you are saying the Generation ID method does work the same way? Or are you saying somtehing else now? I can’t keep up lol