comfy-cli is a command line tool that helps users easily install and manage ComfyUI, a powerful open-source machine learning framework. With comfy-cli, you can quickly set up ComfyUI, install packages, and manage custom nodes, all from the convenience of your terminal.
C:\<PATH_TO>\python.exe -m venv C:\comfyUI_cli_install
cd C:\comfyUI_env
C:\comfyUI_env\Scripts\activate.bat
C:\<PATH_TO>\python.exe -m pip install comfy-cli
comfy --workspace=C:\comfyUI_env\ComfyUI install
# then
comfy launch
# or
comfy launch -- --cpu --listen 0.0.0.0
If you are trying to clone a different install, pip freeze it first. Then run those requirements.
# from the original env
python.exe -m pip freeze > M:\requirements.txt
# under the new venv env
pip install -r M:\requirements.txt
1 – Import your workflow 2 – Build a machine configuration to run your workflows on 3 – Download models into your private storage, to be used in your workflows and team. 4 – Run ComfyUI in the cloud to modify and test your workflows on cloud GPUs 5 – Expose workflow inputs with our custom nodes, for API and playground use 6 – Deploy APIs 7 – Let your team use your workflows in playground without using ComfyUI
As models continue to advance, so too must our measurement of their economic impacts. In our second report, covering data since the launch of Claude 3.7 Sonnet, we find relatively modest increases in coding, education, and scientific use cases, and no change in the balance of augmentation and automation. We find that Claude’s new extended thinking mode is used with the highest frequency in technical domains and tasks, and identify patterns in automation / augmentation patterns across tasks and occupations. We release datasets for both of these analyses.
Overview of Our Pipeline. We take 2D tracks and depth maps generated by off-the-shelf models as input, which are then processed by a motion encoder to capture motion patterns, producing featured tracks. Next, we use tracks decoder that integrates DINO feature to decode the featured tracks by decoupling motion and semantic information and ultimately obtain the dynamic trajectories(a). Finally, using SAM2, we group dynamic tracks belonging to the same object and generate fine-grained moving object masks(b).
– Why traumatic memories are not like normal memories? – What it was like working in a mental asylum. – Does childhood trauma impact us permanently? – Can yoga reverse deep past trauma?
We predict that the impact of superhuman AI over the next decade will be enormous, exceeding that of the Industrial Revolution.
We wrote a scenario that represents our best guess about what that might look like.1 It’s informed by trend extrapolations, wargames, expert feedback, experience at OpenAI, and previous forecasting successes.
🔸 Gaussian Splats: imagine throwing thousands of tiny ellipsoidal paint drops. They overlap, blend, and create a smooth, photorealistic look. Fast, great for visualization, but less structured for measurements.
🔸 Point Clouds: every dot is a measured hit. LiDAR or photogrammetry gives us millions of them forming a constellation of reality. Amazing for accuracy, but they don’t connect the dots out of the box.
🔸 Meshes: take those points, connect them into triangles, and you get very realistic surfaces. Strong for 3D analysis, simulation as continues watertight models.
You’ve been in the VFX Industry for over a decade. Tell us about your journey.
It all started with my older brother giving me a Commodore64 personal computer as a gift back in the late 80′. I realised then I could create something directly from my imagination using this new digital media format. And, eventually, make a living in the process. That led me to start my professional career in 1990. From live TV to games to animation. All the way to live action VFX in the recent years.
I really never stopped to crave to create art since those early days. And I have been incredibly fortunate to work with really great talent along the way, which made my journey so much more effective.
What inspired you to pursue VFX as a career?
An incredible combination of opportunities, really. The opportunity to express myself as an artist and earn money in the process. The opportunity to learn about how the world around us works and how best solve problems. The opportunity to share my time with other talented people with similar passions. The opportunity to grow and adapt to new challenges. The opportunity to develop something that was never done before. A perfect storm of creativity that fed my continuous curiosity about life and genuinely drove my inspiration.
Tell us about the projects you’ve particularly enjoyed working on in your career
