Upload config.yaml with huggingface_hub
Browse files- config.yaml +118 -0
config.yaml
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| 1 |
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job: extension
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| 2 |
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config:
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| 3 |
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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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| 67 |
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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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| 96 |
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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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| 99 |
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- prompt: living collage of procedural forms, generative visual art
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| 100 |
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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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| 117 |
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name: hydra_wan_2-1_14B
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version: '1.0'
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