The most amateur looking model is Flux.Krea. It's censored, though, in comparison with Chroma. Chroma Flash Heun is supposed to run with 10 steps Heun sampler. Try that. I've tried it and it's slightly different from Perchance. There's a model patch and loras from Perchance, I'm pretty sure, so you're unlikely to 100% replicate it.
The sequence of your prompt tokens does matter. If you really want something, it should go first. As a rule of thumb, you could split the prompt into three parts, as proposed in the perchance t2i beginner guide. Description (who), Composition (where, doing what), Style. In your example, you prioritize the style, followed by an "empty" token of the woman's name, followed by the okay description. So, I'd suggest you use chat gpt or a similar LLM, ask it to "create a detailed descriptive prompt, using natural language, in the format (description>composition>style) for a Chroma Unlocked text to image generator of a ...". You'll get much better results. As a side note, chroma unlocked as well as most flux models are trained on a large dataset, so the results are greatly diverse. You can only achieve character consistency locally on your machine using comfyUI or similar tools.
They say, the model is Chroma, https://huggingface.co/lodestones/Chroma/tree/main. I have my doubts though. I've tried all kinds of sampler/scheduler combinations using XY Plot, nothing came close to the anime style in here. Somewhat similar was euler_ancestral + beta/normal. There could be a list of loras applied for anime styles, I'm not sure. I'd also like to know.
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It's not the model, I think. I tried it on my comfyUI, chroma v48, it barely ever gives me extra limbs. It could be the resolution. The model was trained in 1024x1024 format, and the options offered on perchance don't match. But to compensate for that perchance offers great image quality, the workflow (or loras) or whatever sampler/scheduler combinations... I've tried it all with the latest chroma and couldn't replicate it. It's amazing here on perchance.
The AI's have come a long way, especially the recent versions that catch a lot of details, but they are just not there yet for the task you're describing working on the prompt alone. If you really want a detailed scene of three or more people you will need to dive into the world of LoRas, Control Net and other tools, in ComfyUI or similar program. Another approach would be to make a very detailed image of each of the three characters here on perchance, and then, ask Flux.1 Kontext to put them all in one scene doing something you want without changing their appearance. I've had very good results with this approach, and it's much easier, too.
I'd also like to know. One thing is for sure, the base is flux.1-schnell with LoRas. Except, it still accepts negative prompts to some degrees (weakly), which flux shouldn't do.
Nunchuks also has negative prompt, but Chroma seems to deal with fat ugly lip contouring a lot better it seems. My first impression.
The best ones are installed locally. If you have ComfyUI or similar interface, you can install ForgeFlux Kontext. Which is the best and the latest model in the field of image-to-image, imho.
Same prompts lead to the same results, give or take. The OP said FACES and EVERY TIME in caps, suggesting he's getting the same faces everytime he's using the i2t which is not true. I was just trying to point out that there are ways to describe many details and change that.
Check this, if that's what you were looking for: https://perchance.org/mytestgen You could do it via dynamic lists, but that's 100 more words than in the example. If it is indeed what you were looking for, let me know if you need any explanations.
Sure, camera brings even an anime image to life. Just a front picture everytime is boring. Try describing how a camera is looking at the characters or the scene and you'll notice the difference in the dynamics.
A simple example,
This picture tells a story rather than showing an anime character. And it's only 3 short sentence about the camera work, angle, focus.