ui:
  product_name: AppName
  showChatInVideoView: true
  
  render_queue:
  # how many clips should be stored in advance
  buffer_size: 4

  # how many requests for clips can be run in parallel
  max_concurrent_generations: 2

  # start playback as soon as we have 1 video over 4 (25%)
  minimum_buffer_percent_to_start_playback: 25

simulation:
  # how often the description should evolve (in seconds)
  # setting to 0 disables description evolution
  sim_loop_frequency_in_sec: 8

video:
  # default negative prompt to filter harmful content
  default_negative_prompt: "pixelated, deformed, distorted, disfigured, blurry, text, watermark, low quality, gore, sex, blood, nudity, nude, porn, erotic"

  # transition time between each clip
  # the exit (older) clip will see its playback time reduced by this amount
  transition_buffer_duration_ms: 300

  # how long a generated clip should be, in Duration
  original_clip_duration_seconds: 4

  # The model works on resolutions that are divisible by 32
  # and number of frames that are divisible by 8 + 1 (e.g. 257).
  # 
  # In case the resolution or number of frames are not divisible
  # by 32 or 8 + 1, the input will be padded with -1 and then
  # cropped to the desired resolution and number of frames.
  # 
  # The model works best on resolutions under 720 x 1280 and
  # number of frames below 257.

  # number of inference steps
  # this has a direct impact in performance obviously,
  # you can try to go to low values like 12 or 14 on "safe bet" prompts,
  # but if you need a more uncommon topic, you need to go to 18 steps or more
  num_inference_steps: 4

  guidance_scale: 1.0

  # original frame-rate of each clip (before we slow them down)
  # in frames per second (so an integer)
  original_clip_frame_rate: 25

  original_clip_width: 544
  original_clip_height: 320

  # to do more with less, we slow down the videos (a 3s video will become a 4s video)
  # but if you are GPU rich feel feel to play them back at 100% of their speed!
  clip_playback_speed: 0.7