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  1. config.yaml +118 -0
config.yaml ADDED
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+ job: extension
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+ config:
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+ name: hydra_wan_2-1_14B
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+ process:
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+ - type: diffusion_trainer
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+ training_folder: /app/ai-toolkit/output
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+ sqlite_db_path: ./aitk_db.db
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+ device: cuda
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+ trigger_word: 'hydravj '
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+ performance_log_every: 10
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+ network:
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+ type: lora
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+ linear: 32
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+ linear_alpha: 32
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+ conv: 16
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+ conv_alpha: 16
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+ lokr_full_rank: true
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+ lokr_factor: -1
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+ network_kwargs:
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+ ignore_if_contains: []
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+ save:
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+ dtype: bf16
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+ save_every: 250
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+ max_step_saves_to_keep: 4
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+ save_format: diffusers
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+ push_to_hub: false
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+ datasets:
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+ - folder_path: /app/ai-toolkit/datasets/hydra_wan_2_1_14b
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+ mask_path: null
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+ mask_min_value: 0.1
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+ default_caption: ''
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+ caption_ext: txt
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+ caption_dropout_rate: 0.05
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+ cache_latents_to_disk: true
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+ is_reg: false
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+ network_weight: 1
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+ resolution:
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+ - 512
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+ - 768
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+ controls: []
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+ shrink_video_to_frames: true
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+ num_frames: 81
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+ flip_x: false
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+ flip_y: false
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+ num_repeats: 1
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+ train:
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+ batch_size: 1
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+ bypass_guidance_embedding: false
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+ steps: 2500
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+ gradient_accumulation: 1
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+ train_unet: true
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+ train_text_encoder: false
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+ gradient_checkpointing: true
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+ noise_scheduler: flowmatch
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+ optimizer: adamw8bit
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+ timestep_type: sigmoid
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+ content_or_style: balanced
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+ optimizer_params:
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+ weight_decay: 0.0001
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+ unload_text_encoder: true
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+ cache_text_embeddings: false
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+ lr: 0.0001
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+ ema_config:
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+ use_ema: true
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+ ema_decay: 0.99
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+ skip_first_sample: false
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+ force_first_sample: false
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+ disable_sampling: false
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+ dtype: bf16
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+ diff_output_preservation: false
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+ diff_output_preservation_multiplier: 1
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+ diff_output_preservation_class: person
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+ switch_boundary_every: 1
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+ loss_type: mse
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+ logging:
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+ log_every: 1
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+ use_ui_logger: true
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+ model:
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+ name_or_path: Wan-AI/Wan2.1-T2V-14B-Diffusers
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+ quantize: true
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+ qtype: qfloat8
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+ quantize_te: true
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+ qtype_te: qfloat8
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+ arch: wan21:14b
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+ low_vram: false
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+ model_kwargs: {}
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+ sample:
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+ sampler: flowmatch
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+ sample_every: 250
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+ width: 768
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+ height: 486
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+ samples:
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+ - prompt: real-time generative visual art, live-coded feedback network
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+ - prompt: TouchDesigner Feedback
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+ - prompt: real-time generative visual art, live-coded feedback network, dark
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+ botanical
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+ - prompt: deep teal and magenta diagonal fiber texture with fine noise grain,
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+ organic color bleeding between layers, woven digital tapestry
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+ - prompt: living collage of procedural forms, generative visual art
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+ - prompt: generative visual art
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+ - prompt: hydravj abstract fluid simulation, iridescent membrane distortion,
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+ slow morphing color field
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+ - prompt: hydravj layered noise textures, analog video synthesis, warm amber
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+ and deep violet
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+ - prompt: hydravj recursive feedback loops, pixelated light trails dissolving
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+ into static
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+ - prompt: hydravj organic cellular patterns, bioluminescent drift, generative
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+ motion graphics
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+ neg: ''
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+ seed: 216
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+ walk_seed: true
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+ guidance_scale: 5
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+ sample_steps: 30
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+ num_frames: 81
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+ fps: 16
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+ meta:
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+ name: hydra_wan_2-1_14B
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+ version: '1.0'