| job: extension |
| config: |
| name: Questro_v1 |
| process: |
| - type: diffusion_trainer |
| training_folder: /app/ai-toolkit/output |
| sqlite_db_path: /app/ai-toolkit/aitk_db.db |
| device: cuda |
| trigger_word: questro |
| performance_log_every: 10 |
| network: |
| type: lora |
| linear: 32 |
| linear_alpha: 32 |
| conv: 16 |
| conv_alpha: 16 |
| lokr_full_rank: true |
| lokr_factor: -1 |
| network_kwargs: |
| ignore_if_contains: [] |
| save: |
| dtype: bf16 |
| save_every: 250 |
| max_step_saves_to_keep: 4 |
| save_format: diffusers |
| push_to_hub: false |
| datasets: |
| - folder_path: /app/ai-toolkit/datasets/questro |
| mask_path: null |
| mask_min_value: 0.1 |
| default_caption: '' |
| caption_ext: txt |
| caption_dropout_rate: 0.05 |
| cache_latents_to_disk: false |
| is_reg: false |
| network_weight: 1 |
| resolution: |
| - 512 |
| - 768 |
| - 1024 |
| controls: [] |
| shrink_video_to_frames: true |
| num_frames: 1 |
| do_i2v: true |
| flip_x: false |
| flip_y: false |
| train: |
| batch_size: 1 |
| bypass_guidance_embedding: false |
| steps: 3000 |
| gradient_accumulation: 1 |
| train_unet: true |
| train_text_encoder: false |
| gradient_checkpointing: true |
| noise_scheduler: flowmatch |
| optimizer: adamw8bit |
| timestep_type: weighted |
| content_or_style: balanced |
| optimizer_params: |
| weight_decay: 0.0001 |
| unload_text_encoder: false |
| cache_text_embeddings: false |
| lr: 0.0001 |
| ema_config: |
| use_ema: false |
| ema_decay: 0.99 |
| skip_first_sample: false |
| force_first_sample: false |
| disable_sampling: false |
| dtype: bf16 |
| diff_output_preservation: false |
| diff_output_preservation_multiplier: 1 |
| diff_output_preservation_class: person |
| switch_boundary_every: 1 |
| loss_type: mse |
| model: |
| name_or_path: Qwen/Qwen-Image |
| quantize: true |
| qtype: qfloat8 |
| quantize_te: true |
| qtype_te: qfloat8 |
| arch: qwen_image |
| low_vram: true |
| model_kwargs: {} |
| layer_offloading: false |
| layer_offloading_text_encoder_percent: 1 |
| layer_offloading_transformer_percent: 1 |
| sample: |
| sampler: flowmatch |
| sample_every: 250 |
| width: 1024 |
| height: 1024 |
| samples: |
| - prompt: "\u201CA dramatic oil painting of questro, the small round-headed\ |
| \ robot with glowing orange eyes and antenna tips, white metal plating with\ |
| \ orange accents. Painted like a heroic explorer in a surreal landscape,\ |
| \ rich brushstrokes, deep shadows, textured canvas, full body clearly visible.\u201D" |
| - prompt: A carved stone statue of questro, the small humanoid robot with a |
| rounded helmet head, glowing-eye sockets, and antenna tips. Sculpted from |
| marble with subtle cracks and chisel marks, posed standing proudly on a |
| pedestal, full body, iconic silhouette preserved |
| - prompt: questro, the compact humanoid robot with a rounded helmet head, glowing |
| orange eyes, antenna tips, white plating, and orange details. Full body, |
| standing straight, clean lighting, high clarity, no background clutter. |
| Pure character test image. |
| - prompt: questro in an environment, small round-headed robot with white metal |
| armor and orange accents, glowing orange eyes and antenna tips. Full body, |
| interacting naturally with a scene (exploring, cooking, building, or investigating). |
| Character details remain consistent. |
| neg: '' |
| seed: 42 |
| walk_seed: true |
| guidance_scale: 4 |
| sample_steps: 25 |
| num_frames: 1 |
| fps: 1 |
| meta: |
| name: Questro_v1 |
| version: '1.0' |
|
|
