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Running
on
CPU Upgrade
Running
on
CPU Upgrade
File size: 1,881 Bytes
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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
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 |