| Running 1 job |
| { |
| "type": "concept_slider", |
| "training_folder": "/app/ai-toolkit/output", |
| "sqlite_db_path": "/app/ai-toolkit/aitk_db.db", |
| "device": "cuda", |
| "trigger_word": null, |
| "performance_log_every": 10, |
| "network": { |
| "type": "lora", |
| "linear": 4, |
| "linear_alpha": 4, |
| "conv": 16, |
| "conv_alpha": 16, |
| "lokr_full_rank": true, |
| "lokr_factor": -1, |
| "network_kwargs": { |
| "ignore_if_contains": [] |
| } |
| }, |
| "save": { |
| "dtype": "bf16", |
| "save_every": 25, |
| "max_step_saves_to_keep": 4, |
| "save_format": "diffusers", |
| "push_to_hub": false |
| }, |
| "datasets": [ |
| { |
| "folder_path": "/app/ai-toolkit/datasets/the_cosmic_drift_slider", |
| "control_path": null, |
| "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 |
| ], |
| "controls": [], |
| "shrink_video_to_frames": true, |
| "num_frames": 1, |
| "do_i2v": true, |
| "flip_x": true, |
| "flip_y": false |
| } |
| ], |
| "train": { |
| "batch_size": 1, |
| "bypass_guidance_embedding": false, |
| "steps": 300, |
| "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": true, |
| "cache_text_embeddings": false, |
| "lr": 0.001, |
| "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 |
| }, |
| "model": { |
| "name_or_path": "Qwen/Qwen-Image", |
| "quantize": true, |
| "qtype": "uint3|ostris/accuracy_recovery_adapters/qwen_image_torchao_uint3.safetensors", |
| "quantize_te": true, |
| "qtype_te": "qfloat8", |
| "arch": "qwen_image", |
| "low_vram": true, |
| "model_kwargs": {} |
| }, |
| "sample": { |
| "sampler": "flowmatch", |
| "sample_every": 250, |
| "width": 1024, |
| "height": 1024, |
| "samples": [ |
| { |
| "prompt": "A medium, eye-level shot of a small group of friends sitting on the grass in a park, chatting on a sunny afternoon. They are wearing simple t-shirts and jeans.", |
| "network_multiplier": "-2.0", |
| "seed": 42 |
| }, |
| { |
| "prompt": "A medium, eye-level shot of a small group of friends sitting on the grass in a park, chatting on a sunny afternoon. They are wearing simple t-shirts and jeans.", |
| "network_multiplier": "-1.0", |
| "seed": 42 |
| }, |
| { |
| "prompt": "A medium, eye-level shot of a small group of friends sitting on the grass in a park, chatting on a sunny afternoon. They are wearing simple t-shirts and jeans.", |
| "network_multiplier": "-0.5", |
| "seed": 42 |
| }, |
| { |
| "prompt": "A medium, eye-level shot of a small group of friends sitting on the grass in a park, chatting on a sunny afternoon. They are wearing simple t-shirts and jeans.", |
| "network_multiplier": "0.0", |
| "seed": 42 |
| }, |
| { |
| "prompt": "A medium, eye-level shot of a small group of friends sitting on the grass in a park, chatting on a sunny afternoon. They are wearing simple t-shirts and jeans.", |
| "network_multiplier": "0.5", |
| "seed": 42 |
| }, |
| { |
| "prompt": "A medium, eye-level shot of a small group of friends sitting on the grass in a park, chatting on a sunny afternoon. They are wearing simple t-shirts and jeans.", |
| "network_multiplier": "1.0", |
| "seed": 42 |
| }, |
| { |
| "prompt": "A medium, eye-level shot of a small group of friends sitting on the grass in a park, chatting on a sunny afternoon. They are wearing simple t-shirts and jeans.", |
| "network_multiplier": "2.0", |
| "seed": 42 |
| } |
| ], |
| "neg": "", |
| "seed": 42, |
| "walk_seed": true, |
| "guidance_scale": 4, |
| "sample_steps": 25, |
| "num_frames": 1, |
| "fps": 1 |
| }, |
| "slider": { |
| "guidance_strength": 3, |
| "anchor_strength": 1, |
| "positive_prompt": "person who is happy", |
| "negative_prompt": "person who is sad", |
| "target_class": "person", |
| "anchor_class": "" |
| } |
| } |
| Using SQLite database at /app/ai-toolkit/aitk_db.db |
| Job ID: "cb135dd2-679b-4b46-9643-6a98add9bca2" |
|
|
| ############################################# |
| # Running job: The_Cosmic_Drift_Slider |
| ############################################# |
|
|
|
|
| Running 1 process |
| Loading Qwen Image model |
| Loading transformer |
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| Quantizing Transformer |
| Grabbing lora from the hub: ostris/accuracy_recovery_adapters/qwen_image_torchao_uint3.safetensors |
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| create LoRA network. base dim (rank): 16, alpha: 16 |
| neuron dropout: p=None, rank dropout: p=None, module dropout: p=None |
| create LoRA for Text Encoder: 0 modules. |
| create LoRA for U-Net: 846 modules. |
| enable LoRA for U-Net |
| Missing keys: [] |
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Attaching quantization: 100%|##########| 846/846 [02:19<00:00, 6.06it/s] |
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| Moving transformer to CPU |
| Text Encoder |
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| Making pipe |
| Preparing Model |
| Model Loaded |
| create LoRA network. base dim (rank): 4, alpha: 4 |
| neuron dropout: p=None, rank dropout: p=None, module dropout: p=None |
| apply LoRA to Conv2d with kernel size (3,3). dim (rank): 16, alpha: 16 |
| create LoRA for Text Encoder: 0 modules. |
| create LoRA for U-Net: 840 modules. |
| enable LoRA for U-Net |
| Error running job: Job stopped |
|
|
| ======================================== |
| Result: |
| - 0 completed jobs |
| - 1 failure |
| ======================================== |
| Traceback (most recent call last): |
| File "/app/ai-toolkit/run.py", line 120, in <module> |
| main() |
| File "/app/ai-toolkit/run.py", line 108, in main |
| raise e |
| File "/app/ai-toolkit/run.py", line 96, in main |
| job.run() |
| File "/app/ai-toolkit/jobs/ExtensionJob.py", line 22, in run |
| process.run() |
| File "/app/ai-toolkit/jobs/process/BaseSDTrainProcess.py", line 1968, in run |
| self.before_dataset_load() |
| File "/app/ai-toolkit/extensions_built_in/sd_trainer/DiffusionTrainer.py", line 257, in before_dataset_load |
| self.maybe_stop() |
| File "/app/ai-toolkit/extensions_built_in/sd_trainer/DiffusionTrainer.py", line 134, in maybe_stop |
| raise Exception("Job stopped") |
| Exception: Job stopped |
| Traceback (most recent call last): |
| File "/app/ai-toolkit/run.py", line 120, in <module> |
| main() |
| File "/app/ai-toolkit/run.py", line 108, in main |
| raise e |
| File "/app/ai-toolkit/run.py", line 96, in main |
| job.run() |
| File "/app/ai-toolkit/jobs/ExtensionJob.py", line 22, in run |
| process.run() |
| File "/app/ai-toolkit/jobs/process/BaseSDTrainProcess.py", line 1968, in run |
| self.before_dataset_load() |
| File "/app/ai-toolkit/extensions_built_in/sd_trainer/DiffusionTrainer.py", line 257, in before_dataset_load |
| self.maybe_stop() |
| File "/app/ai-toolkit/extensions_built_in/sd_trainer/DiffusionTrainer.py", line 134, in maybe_stop |
| raise Exception("Job stopped") |
| Exception: Job stopped |
|
|
