config/class_level/tennis/3cls_batman_snow-court_iced-wall.yaml

pretrained_model_path: "./ckpt/stable-diffusion-v1-5"
logdir: ./result/class_level/tennis/3cls_man_to_batman_snow-court_iced-wall
 
dataset_config:
    path:  "data/tennis/tennis"
    prompt: a man is on a clay court before a stone wall.
    n_sample_frame: 24
    sampling_rate: 2
    layout_mask_dir: "./data/tennis/layout_masks"
    layout_mask_order: ["man","court",'stone_wall']
    negative_promot: "jittery, ugly, blurry, low res, unrealistic, unaesthetic"


# use_invertion_latents: True
control_config:
    control_type: "openpose"
    pretrained_controlnet_path: ./ckpt/sd-controlnet-openpose 
    controlnet_conditioning_scale: 1.0
    hand: False
    face: False

editing_config:
    use_invertion_latents: true
    inject_step: 0
    old_qk: 1
    flatten_res: [1]
    guidance_scale: 7.5
    use_pnp: false
    use_freeu: false
    editing_prompts: [     
            ['A Batman is on snow covered court before an iced wall','A Batman','snow covered court','an iced wall'],
    ]
    clip_length: "${..dataset_config.n_sample_frame}"
    sample_seeds: [0]
    num_inference_steps: 50
    blending_percentage: 0
    modulated_percentage: 0.3
    
test_pipeline_config:
    target: video_diffusion.pipelines.ddim_spatial_temporal.DDIMSpatioTemporalStableDiffusionPipeline
    num_inference_steps: "${..validation_sample_logger.num_inference_steps}"



seed: 42