| config: | |
| name: last | |
| process: | |
| - datasets: | |
| - cache_latents_to_disk: true | |
| caption_ext: txt | |
| folder_path: /dataset/images/925ea150-6c47-4472-8380-178eabc42cba/img | |
| is_reg: false | |
| resolution: | |
| - 512 | |
| - 768 | |
| - 1024 | |
| device: cuda | |
| model: | |
| arch: qwen_image | |
| low_vram: true | |
| name_or_path: /cache/models/gradients-io-tournaments--Qwen-Image | |
| qtype: float8 | |
| quantize: true | |
| quantize_te: true | |
| network: | |
| linear: 64 | |
| linear_alpha: 128 | |
| type: lora | |
| save: | |
| dtype: bf16 | |
| max_step_saves_to_keep: 4 | |
| save_every: 250 | |
| save_format: diffusers | |
| train: | |
| batch_size: 1 | |
| cache_text_embeddings: true | |
| cfg_scale: 5.0 | |
| do_cfg: true | |
| dtype: bf16 | |
| ema_config: | |
| ema_decay: 0.995 | |
| use_ema: true | |
| gradient_accumulation: 1 | |
| gradient_checkpointing: true | |
| lr: 0.0001 | |
| noise_scheduler: flowmatch | |
| optimizer: adamw8bit | |
| optimizer_params: | |
| weight_decay: 1.0e-05 | |
| steps: 3000 | |
| timestep_type: weighted | |
| train_text_encoder: false | |
| train_unet: true | |
| training_folder: /app/checkpoints/925ea150-6c47-4472-8380-178eabc42cba/qwen3h-2 | |
| type: diffusion_trainer | |
| job: extension | |
| meta: | |
| name: qwen_image_lora | |
| version: '1.0' | |