BREAKING NEWS
LATEST POSTS
-
Lovis Odin ComfyUI-8iPlayer – Seamlessly integrate 8i volumetric videos into your AI workflows
Load holograms, animate cameras, capture frames, and feed them to your favorite AI models. Developed by Lovis Odin for Kartel.ai
You can obtain the MPD URL directly from the official 8i Web Player.https://github.com/Kartel-ai/ComfyUI-8iPlayer/
-
Thomas Müller nv-tlabs GEN3C – 3D-Informed World-Consistent Video Generation with Precise Camera Control
https://github.com/nv-tlabs/GEN3C
Load a picture, define a camera path in 3D, and then render a photoreal video.
-
AI and the Law – Disney, NBCU sue Midjourney over copyright infringement
https://www.axios.com/2025/06/11/disney-nbcu-midjourney-copyright
Why it matters: It’s the first legal action that major Hollywood studios have taken against a generative AI company.
The complaint, filed in a U.S. District Court in central California, accuses Midjourney of both direct and secondary copyright infringement by using the studios’ intellectual property to train their large language model and by displaying AI-generated images of their copyrighted characters.
-
ComfyRun – A fully open source and self-hosted solution to run your ComfyUI workflows at blazing fast speeds on cloud GPUs
https://github.com/punitda/ComfyRun
Best suited for individuals who want to
- Run complex workflows in seconds on the powerful GPUs like A10G, A100, and H100
- Experiment with any workflows you find across web without worrying about breaking your local ComfyUI environment
- Edit workflows on the go
-
Python Windows environment requirements vs apps and custom venv installs
Think of Python like a big toolkit of tools (the interpreter and all its libraries). On Windows, you need to install that toolkit in one place so the operating system knows “Here’s where Python lives.” Once that’s in place, each application can make its own little copy of the toolkit (a venv) to keep its dependencies separate. Here’s why this setup is necessary:
(more…)
FEATURED POSTS
-
Flex 1 Alpha – a pre-trained base 8 billion parameter rectified flow transformer
https://huggingface.co/ostris/Flex.1-alpha
Flex.1 started as the FLUX.1-schnell-training-adapter to make training LoRAs on FLUX.1-schnell possible.
-
MiniMax-Remover – Taming Bad Noise Helps Video Object Removal Rotoscoping
https://github.com/zibojia/MiniMax-Remover
MiniMax-Remover is a fast and effective video object remover based on minimax optimization. It operates in two stages: the first stage trains a remover using a simplified DiT architecture, while the second stage distills a robust remover with CFG removal and fewer inference steps.
