Sorry for my English in advance, but I feel like a disinterest for Chroma in this sub even if it is superior to Hidream and that he is still in the making.

it has its defaults but its knowledge of styles and artists is better than flux and hidream ( it also knows what a Dutch angle means lol) but it doesn't even have its own category in Civitai...basically no loras etc :'(

ps:the images are here to attract reactions u_u all are made in Chroma

I haven't touched Open-Source image AI much since SDXL, but I see there are a lot of newer models.

I can pull a set of ~50,000 uncropped, untagged images with some broad concepts that I want to fine-tune one of the newer models on to "deepen it's understanding". I know LoRAs are useful for a small set of 5-50 images with something very specific, but AFAIK they don't carry enough information to understand broader concepts or to be fed with vastly varying images.

What's the best way to do it? Which model to choose as the base model? I have RTX 3080 12GB and 64GB of VRAM, and I'd prefer to train the model on it, but if the tradeoff is worth it I will consider training on a cloud instance.

The concepts are specific clothing and style.

I want to create Loras of myself and use it for image generation (fool around for recreational use) but it seems complex and overwhelming to understand the whole process. I searched online and found a few articles but most of them seem outdated. Hoping for some help from this expert community. I am curious what tools or services people use to train Loras in 2025 (for SD or Flux). Do you maybe have any useful tips, guides or pointers?

I've been looking at videos made on comfyUI with WAN and for the vast majority of them the movement look super slow and unrealistic. But some look really real like THIS.
How do people make their video smooth and human looking ?
Any advices ?

I’m trying to figure out how to train a LoRA have a more noticeable and a more global impact across generations, regardless of the prompt.

For example, say I train a LoRA using only images of daisies. If I then prompt "photo of a dog" I would just get a regular dog image with no sign of daisy influence. I would like the model to give me something like "a dog with a yellow face wearing a dog cone made of petals" even if I don’t explicitly mention daisies in the prompt.

Trigger words haven't been much help.

Been experimenting with params, but this is an example where I get good results via direct prompting (but not any global effect): unetLR: 0.00035, netDim:8, netAlpha:16, batchSize:2, trainingSteps: 2025, Cosine w restarts,

I saw Reco Jefferson (@roughneck_actual) promoting Eromantic.ai on Instagram, so I signed up to see what it could do.

The image generation is bad. Even when using the “advanced prompt” option and giving it very specific instructions, the results come out deformed most of the time with messed up eyes, weird faces, and it ignores half the prompt.

The video generation is worse. It’s extremely blurry and low quality. Nothing sharp or usable came out of it.

This platform isn’t ready. It needs a lot more development before it’s worth anyone’s time or money. If you're looking for quality generation, tools like Leonardo or Stable Diffusion are a better option right now.

Has anyone actually gotten solid results from it?

Good afternoon! I am very interested in working with video generation (WAN 2.1, etc.) and training models, and I am currently putting together hardware for this. I have seen two extremely attractive options for this purpose: the AMD AI 395 Max with an iGPU 8060s and the ability to have 96 GB of VRAM (unfortunately only LPDDR5), and the NVIDIA DGX Spark. The DGX Spark hasn’t been released yet, but the AMD processors are already available. However, in all the tests I’ve found, they’re testing some trivial workloads—at best someone installs SD 3.5 for image generation, but usually they only run SD 1.5. Has anyone tested this processor on more complex tasks? How terrible is the software support for AMD (I’ve heard it’s really bad)?