This B300 server at my work will be unused until after the holidays. What should I train, boys???
https://redd.it/1pnio1b
@rStableDiffusion

I used Flux-Schnell to generate card art in real time as the player progresses
https://redd.it/1pnlvsk
@rStableDiffusion

Analyse Lora Blocks and in real-time choose the blocks used for inference in Comfy UI. Z-image, Qwen, Wan 2.2, Flux Dev and SDXL supported.
https://www.youtube.com/watch?v=dkEB5i5yBUI

https://redd.it/1pnooaf
@rStableDiffusion

Chatterbox Turbo Released Today

I didn't see another post on this, but the open source TTS was released today.

https://huggingface.co/collections/ResembleAI/chatterbox-turbo

I tested it with a recording of my voice and in 5 seconds it was able to create a pretty decent facsimile of my voice.

https://redd.it/1pnozbo
@rStableDiffusion

My updated 4 stage upscale workflow to squeeze z-image and those character lora's dry

https://redd.it/1pny489
@rStableDiffusion

LORA Training - Sample every 250 steps - Best practices in sample prompts?

I am experimenting with LORA training (characters), always learning new things and leveraging some great insights I find in this community.
Generally my dataset is composed of 30 high definition photos with different environment/clothing and camera distance. I am aiming at photorealism.

I do not see often discussions about which prompts should be used during training to check the LORA's quality progression.
I generate a LORA every 250 steps and I normally produce 4 images.
My approach is:

1) An image with prompt very similar to one of the dataset images (just to see how different the resulting image is from the dataset)

2) An image putting the character in a very different environment/clothing/expression (to see how the model can cope with variations)

3) A close-up portrait of my character with white background (to focus on face details)

4) An anime close-up portrait of my character in Ghibli style (to quickly check if the LORA is overtrained: when images start getting out photographic rather than anime, I know I overtrained)

I have no idea if this is a good approach or not.
What do you normally do? What prompts do you use?

P.S. I have noticed that the subsequent image generation in ComfyUI is much better quality than the samples generated during training (I do not really know why) but nevertheless, even if in low quality, samples are anyway useful to check the training progression.

https://redd.it/1pnx20s
@rStableDiffusion