ComfyUI Tutorial Series Ep 72: Z-Image Turbo Workflows, ControlNet Essentials & LoRA Training
https://www.youtube.com/watch?v=DYzHAX15QL4
https://redd.it/1pj6gwi
@rStableDiffusion
https://www.youtube.com/watch?v=DYzHAX15QL4
https://redd.it/1pj6gwi
@rStableDiffusion
YouTube
ComfyUI Tutorial Series Ep 72: Z-Image Turbo Workflows, ControlNet Essentials & LoRA Training
In this episode, you’ll learn how to set up and use the Z-Image Turbo model in ComfyUI, compare BF16 vs FP8 performance, build ControlNet-based consistency workflows, generate prompts with Qwen VL, and train effective LoRAs for characters and styles.
You’ll…
You’ll…
Open-source SD 3.5 LoRA text-to-image training pipeline (GitHub)
Hey all,
I’ve been working on an SD 3.5 LoRA text-to-image training pipeline and decided to open source it in case it’s useful for others here.
LoRA training on top of Stable Diffusion 3.5
Focused on custom styles / characters / domains
Includes example configs, training noscripts, and simple inference
GitHub repo: [https://github.com/seochan99/stable-diffusion-3.5-text2image-lora](https://github.com/seochan99/stable-diffusion-3.5-text2image-lora)
If you hang out here a lot and have experience with training LoRAs, I’d love feedback on:
Default training settings (rank, lr, batch size, etc.)
Must-have features for a “clone & train” SD 3.5 LoRA setup
Any gotchas you’ve hit when training LoRAs on small / noisy datasets
https://redd.it/1pj87on
@rStableDiffusion
Hey all,
I’ve been working on an SD 3.5 LoRA text-to-image training pipeline and decided to open source it in case it’s useful for others here.
LoRA training on top of Stable Diffusion 3.5
Focused on custom styles / characters / domains
Includes example configs, training noscripts, and simple inference
GitHub repo: [https://github.com/seochan99/stable-diffusion-3.5-text2image-lora](https://github.com/seochan99/stable-diffusion-3.5-text2image-lora)
If you hang out here a lot and have experience with training LoRAs, I’d love feedback on:
Default training settings (rank, lr, batch size, etc.)
Must-have features for a “clone & train” SD 3.5 LoRA setup
Any gotchas you’ve hit when training LoRAs on small / noisy datasets
https://redd.it/1pj87on
@rStableDiffusion
GitHub
GitHub - seochan99/stable-diffusion-3.5-text2image-lora: Stable Diffusion 3.5 Text-to-Image Fine-tuning with LoRA
Stable Diffusion 3.5 Text-to-Image Fine-tuning with LoRA - seochan99/stable-diffusion-3.5-text2image-lora