I don't mind hearing what you are actually angry about if its something personal.

what is the aesthetic 0 style type of art? anime screencap with a title in red text Fox-like girl holding a wrench and a knife, dressed in futuristic armor, looking fierce with yellow eyes. Her outfit is a dark green cropped jacket and a skirt-like bottom. \: title the aesthetic 0 style poster "Aesthetic ZERO"

(Current Perchance Chroma model could be an early epoch and not changed until epoch 50 finishes training)

Chroma Epoch 48 (latest one)

Just run the Chroma Model on Tensor Art , or some similiar service:

tungsten.run shakker.ai seaart.ai Frosting.ai Pollinations.ai Kling

New Tensor Art accounts <1month old can't make NSFW content.

Reason is there is ongoing issue with people making throwaway accounts to flood the NSFW channel with bad stuff.

Happy to help 👍

You are a weird person OP and I have no clue what you are talking about

Perchance chat is gonna get the site shut down I swear.

Any forum with a buncha unhinged weirdos + underage users is trouble waiting to happen for the site. People wanna chat , do that on Lemmy or whatever other moderated forums there are IMO.

Good scientific approach!

I collected training prompts from lodestones repo to get an idea of the prompt format for Chroma: https://huggingface.co/datasets/codeShare/chroma_prompts/blob/main/parquet_explorer.ipynb

Still early stages so you'll have to download the .parquet file to your own Google Drive and access it via the notebook from there

Are you a human?

Thats true! Since nat lang text encoders are more complex , the negatives of the stuff being encoded is rarely the opposite.

As in , the model itself (Chroma on perchance) isnt trained to comprehend negative vectors. Tho lodestones (creator of Chroma) never specified but I assume not.

Negatives are an off shoot in training that sorta worked in CLIP based models SD1.5 SDXL (Pony / illustrious) that carried over into the nat lang mod releases out of habit in the community.

It worked in CLIP models because the CLIP encoder is simple. Write 'ice cream' in CLIP and the text encoding vector will point roughly same direction no matter where in the 75 token batch 'ice cream' .

Compare that to the many number of different answers you can get from chatGPT or GROK containing the word 'ice cream' and you can see how the 512 token batch encoding of the T5 in Chroma , or Qwen encoder in Klein / Z image varies drastically depending how common words are arranged in the text.

You ask for info , I give info. Why so distrustful?

You are disagreeing because of your own ego. Stop it.

I'm not looking to claim any points.

Perchance model is FLUX Chroma.

FLUX Chroma Flash Heun

Easiest way to get photoreal output is to head off to getty and copy a photo caption: https://www.gettyimages.com/editorial-images

Example output on perchance generator

2025 Toronto International Film Festival - Black Excellence Brunch TORONTO, ONTARIO - SEPTEMBER 08: (L-R) Karen Chapman, Regina Taylor and Joan Jenkinson attend the Black Excellence Brunch during the 2025 Toronto International Film Festival at Petros82 Restaurant on September 08, 2025 in Toronto, Ontario. (Photo by Leon Bennett/Getty Images)

From : https://www.gettyimages.com/editorial-images/entertainment/event/toronto-international-film-festival-black-excellence-brunch/776375508?editorialproducts=all

Who told you this? Like...why?

Thanks. I appreciate the effort and time you put into this. ...But is your keyboard broken or something haha? Where are the punctuations . , ? lol

Use 'Euler' w. 'sgm_uniform' sampler at CLIP SKIP 1 , and you're good to go 👍

Try with settings listed at the Huggingface Chroma page. If problems persist use online hosted version on Tensor Art , or ask on the Chroma discord page

'I'm not sure what you mean here' is such a reddit reply lmao

SeeArt is a strange website indeed

Chroma uses FLUX Schnell as its basis , yes. See the HF page.

FLUX Chroma (Perchance T2i model) is literally the best model on the market haha.

I've collected what prompt I can find on Chroma training data here (see screenshot above for output): https://huggingface.co/datasets/codeShare/chroma_prompts/blob/main/parquet_explorer.ipynb

So try mimicing that prompt format 👍