ComfyUI Node: Realtime LoRA Trainer
Run ComfyUI workflows without the setup
No installs, no CUDA version roulette, no GPU sitting idle on your bill. Bring a workflow and run it in the browser.
Category
loaders
Inputs
inputcount INT
images_path STRING
architecture
- Z-Image Turbo
- FLUX.1-dev
- Wan 2.2 High
- Wan 2.2 Low
- Wan 2.2 Combo
ai_toolkit_path STRING
caption STRING
training_steps INT
learning_rate FLOAT
lora_rank INT
vram_mode
- Max (1256px)
- Medium (1024px)
- Low (768px)
- Min (512px)
keep_lora BOOLEAN
output_name STRING
custom_python_exe STRING
image_1 IMAGE
caption_1 STRING
image_2 IMAGE
caption_2 STRING
image_3 IMAGE
caption_3 STRING
image_4 IMAGE
caption_4 STRING
Outputs
STRING
Extension: Realtime LoRA Trainer
Train, analyze, selectively load, and extract/merge LoRAs inside ComfyUI. Supports Z-Image, Qwen Image, Qwen Image Edit, SDXL, FLUX, FLUX Klein, Wan 2.2, and SD 1.5. Includes LoRA layer analyzers, selective block loaders, model layer editors, and text-encoder debiasing/inspection tools.
Authored by shootthesound
Looking for a different node?
More nodes in Realtime LoRA Trainer
- Apply Trained LoRA
- FLUX Analyzer + Selective Loader V2
- FLUX Klein 4B Analyzer + Selective Loader V2
- FLUX Klein 9B Analyzer + Selective Loader V2
- DIT Deep Debiaser (FLUX.2 Klein — Verified)
- FLUX Model Layer Editor
- Selective LoRA Loader (FLUX)
- VAE Deep Debiaser (Flux 2 Klein — 125 Tensors)
- VAE Inspector (Flux 2 Klein — 125 Tensors)
- LoRA Loader + Analyzer
- LoRA Loader + Analyzer V2
- Realtime LoRA Trainer (FLUX Klein - Musubi Tuner)
Other loaders nodes
- Additional Features With Attention
- Load Attention couple
- Auto Model Finder (Experimental)
- Cached Checkpoint
- Apply CDTuner
- Load Checkpoint Mix With Diffusers
- Load FP4 or NF4 Quantized Checkpoint Model
- CheckpointLoaderRandom
- CheckpointLoaderSimpleExtended
- CivitAI Download
- Comfy Couple
- Kandinsky2.2 Decoder Loader
Run ComfyUI workflows without the setup
No installs, no CUDA version roulette, no GPU sitting idle on your bill. Bring a workflow and run it in the browser.