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POPULAR SEARCHES unreal | pipeline | virtual production | free | learn | photoshop | 360 | macro | google | nvidia | resolution | open source | hdri | real-time | photography basics | nuke
Capability | Description / Value |
---|---|
Model Gallery | Over 600+ production-ready models for image, video, audio, 3D. Fal AI |
Serverless / On-demand Compute | You don’t have to set up GPU clusters yourself. It offers serverless GPUs with no cold starts or autoscaler setup. Fal AI |
Custom / Private Deployments | Support for bringing your own model weights, private endpoints, and secure model serving. Fal AI |
High Throughput & Speed | fal claims their inference engine for diffusion models is “up to 10× faster” and built for scale (100M+ daily inference calls) with “99.99% uptime.” Fal AI |
Enterprise / Compliance | SOC 2 compliance, single sign-on, analytics, priority support, and tooling aimed at enterprise deployment and procurement. Fal AI |
Flexible Pricing | Options include per-output (serverless) or hourly GPU pricing (for more custom compute). Fal AI |
Submit ComfyUI workflows to Thinkbox Deadline render farm.
https://github.com/doubletwisted/ComfyUI-Deadline-Plugin
https://docs.thinkboxsoftware.com/products/deadline/latest/1_User%20Manual/manual/overview.html
Deadline 10 is a cross-platform render farm management tool for Windows, Linux, and macOS. It gives users control of their rendering resources and can be used on-premises, in the cloud, or both. It handles asset syncing to the cloud, manages data transfers, and supports tagging for cost tracking purposes.
Deadline 10’s Remote Connection Server allows for communication over HTTPS, improving performance and scalability. Where supported, users can use usage-based licensing to supplement their existing fixed pool of software licenses when rendering through Deadline 10.
# extract one frame at the end of a video
ffmpeg -sseof -0.1 -i intro_1.mp4 -frames:v 1 -q:v 1 intro_end.jpg
-sseof -0.1: This option tells FFmpeg to seek to 0.1 seconds before the end of the file. This approach is often more reliable for extracting the last frame, especially if the video’s duration isn’t an exact multiple of the frame interval.
Super User
-frames:v 1: Extracts a single frame.
-q:v 1: Sets the quality of the output image; 1 is the highest quality.
# extract one frame at the beginning of a video
ffmpeg -i speaking_4.mp4 -frames:v 1 speaking_beginning.jpg
# check video length
ffmpeg -i C:\myvideo.mp4 -f null –
# Convert mov/mp4 to animated gifEdit
ffmpeg -i input.mp4 -pix_fmt rgb24 output.gif
Other useful ffmpeg commandsEdit
It lets you load any .cube LUT right in your browser, see the RGB curves, and use a split view on the Granger Test Image to compare the original vs. LUT-applied version in real time — perfect for spotting hue shifts, saturation changes, and contrast tweaks.
https://mononodes.com/lut-inspector/
https://runwayml.com/research/introducing-runway-aleph
Generate New Camera Angles
Generate the Next Shot
Use Any Style to Transfer to a Video
Change Environments, Locations, Seasons and Time of Day
Add Things to a Scene
Remove Things from a Scene
Change Objects in a Scene
Apply the Motion of a Video to an Image
Alter a Character’s Appearance
Recolor Elements of a Scene
Relight Shots
Green Screen Any Object, Person or Situation
What’s Included:
https://github.com/robertvoy/ComfyUI-Distributed
https://draftdocs.acescentral.com/background/whats-new/
ACES 2.0 is the second major release of the components that make up the ACES system. The most significant change is a new suite of rendering transforms whose design was informed by collected feedback and requests from users of ACES 1. The changes aim to improve the appearance of perceived artifacts and to complete previously unfinished components of the system, resulting in a more complete, robust, and consistent product.
Highlights of the key changes in ACES 2.0 are as follows:
The most substantial change in ACES 2.0 is a complete redesign of the rendering transform.
ACES 2.0 was built as a unified system, rather than through piecemeal additions. Different deliverable outputs “match” better and making outputs to display setups other than the provided presets is intended to be user-driven. The rendering transforms are less likely to produce undesirable artifacts “out of the box”, which means less time can be spent fixing problematic images and more time making pictures look the way you want.
There are several free or open-source VFX asset management systems available that can be used in production environments. These tools vary in scope—from lightweight tools to full-fledged pipeline frameworks. Below is a breakdown of the most notable ones and what makes them stand out.
License: Open source (Apache 2.0)
– Asset management and project structure setup
– Integrates with Maya, Houdini, Nuke, Blender, and others
– Includes publishing, versioning, and task tracking
– Web interface (OpenPype Studio) for overview and management
Strengths: Actively developed, modular and extendable, production-proven in real studios
URL: https://openpype.io/
License: GNU GPL v3
– Production tracking, shot management
– Web-based interface with intuitive UX
– Built-in review and feedback system
– API for integration into pipelines
Strengths: Great for team collaboration, focuses on communication between departments
URL: https://www.cg-wire.com/kitsu
https://github.com/cgwire/kitsu
License: Proprietary (older versions may be available for small studios/educational users)
– Project management, review, and pipeline integration
– Strength: Industry-proven
Note: Current versions are commercial; older community editions may still be used.
License: Open source (EPL 1.0)
– General-purpose asset and workflow management
– Web-based, highly configurable
Strengths: Adaptable to VFX pipelines, powerful templating/scripting
Drawbacks: Steep learning curve, not VFX-specific out of the box
URL: https://www.southpawtech.com/
Why:
– Specifically built for VFX and animation pipelines
– Extensively integrates with key DCCs
– Actively maintained with a large community
– Includes both asset and task management
– Works out-of-the-box but is customizable
https://github.com/punitda/ComfyRun
Best suited for individuals who want to
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