https://fenghora.github.io/Personalize-Anything-Page

Customize any subject with advanced DiT without additional fine-tuning.

https://stability.ai/news/introducing-stable-virtual-camera-multi-view-video-generation-with-3d-camera-control

https://static1.squarespace.com/static/6213c340453c3f502425776e/t/67d9986bf7c111252695fa9b/1742313585359/stable-virtual-camera.pdf

Capabilities

Stable Virtual Camera offers advanced capabilities for generating 3D videos, including:

• Dynamic Camera Control: Supports user-defined camera trajectories as well as multiple dynamic camera paths, including: 360°, Lemniscate (∞ shaped path), Spiral, Dolly Zoom In, Dolly Zoom Out, Zoom In, Zoom Out, Move Forward, Move Backward, Pan Up, Pan Down, Pan Left, Pan Right, and Roll. 
• Flexible Inputs: Generates 3D videos from just one input image or up to 32.

• Multiple Aspect Ratios: Capable of producing videos in square (1:1), portrait (9:16), landscape (16:9), and other custom aspect ratios without additional training.
• Long Video Generation: Ensures 3D consistency in videos up to 1,000 frames, enabling seamless

Model limitations

In its initial version, Stable Virtual Camera may produce lower-quality results in certain scenarios. Input images featuring humans, animals, or dynamic textures like water often lead to degraded outputs. Additionally, highly ambiguous scenes, complex camera paths that intersect objects or surfaces, and irregularly shaped objects can cause flickering artifacts, especially when target viewpoints differ significantly from the input images.

https://huggingface.co/spaces/prs-eth/thera

https://github.com/prs-eth/thera

https://jianhongbai.github.io/ReCamMaster

https://huggingface.co/papers/2503.11647

https://github.com/VectorSpaceLab/OmniGen

https://huggingface.co/spaces/Shitao/OmniGen

https://aistudio.google.com

https://deepmind.google/technologies/gemini/flash

https://magicinfinite.github.io

https://arxiv.org/pdf/2503.05978

https://www.hedra.com

https://github.com/Conor-Collins/coco_tools

Workflow

https://github.com/Conor-Collins/coco_tools/blob/main/workflows/coco_load_exr_layers.json

https://www.linkedin.com/posts/conorcollins_multilayer-exr-reads-as-a-feature-have-been-activity-7303111156276047873-yQ7k

https://www.reddit.com/r/comfyui/comments/1j2x4qv/comfydock_the_easiest_free_way_to_run_comfyui_in/

https://github.com/ComfyDock

ComfyDock is a tool that allows you to easily manage your ComfyUI environments via Docker.

Common Challenges with ComfyUI

• Custom Node Installation Issues: Installing new custom nodes can inadvertently change settings across the whole installation, potentially breaking the environment.
• Workflow Compatibility: Workflows are often tested with specific custom nodes and ComfyUI versions. Running these workflows on different setups can lead to errors and frustration.
• Security Risks: Installing custom nodes directly on your host machine increases the risk of malicious code execution.

How ComfyDock Helps

• Environment Duplication: Easily duplicate your current environment before installing custom nodes. If something breaks, revert to the original environment effortlessly.
• Deployment and Sharing: Workflow developers can commit their environments to a Docker image, which can be shared with others and run on cloud GPUs to ensure compatibility.
• Enhanced Security: Containers help to isolate the environment, reducing the risk of malicious code impacting your host machine.

https://academy.runwayml.com/gen3-alpha/using-restyled-first-frame

https://github.com/ultralytics/ultralytics/issues/18037

zopieux on Dec 5, 2024 : Ultralytics was attacked (or did it on purpose, waiting for a post mortem there), 8.3.41 contains nefarious code downloading and running a crypto miner hosted as a GitHub blob.

https://app.pixverse.ai/onboard

PixVerse now has 3 main features:

• text to video ➡️ How To Generate Videos With Text Prompts
• image to video ➡️ How To Animate Your Images And Bring Them To Life
• upscale ➡️ How to Upscale Your Video

Enhanced Capabilities
– Improved Prompt Understanding: Achieve more accurate prompt interpretation and stunning video dynamics.
– Supports Various Video Ratios: Choose from 16:9, 9:16, 3:4, 4:3, and 1:1 ratios.
– Upgraded Styles: Style functionality returns with options like Anime, Realistic, Clay, and 3D. It supports both text-to-video and image-to-video stylization.

New Features
– Lipsync: The new Lipsync feature enables users to add text or upload audio, and PixVerse will automatically sync the characters’ lip movements in the generated video based on the text or audio.
– Effect: Offers 8 creative effects, including Zombie Transformation, Wizard Hat, Monster Invasion, and other Halloween-themed effects, enabling one-click creativity.
– Extend: Extend the generated video by an additional 5-8 seconds, with control over the content of the extended segment.

https://wanxai.com

👍 SOTA Performance: Wan2.1 consistently outperforms existing open-source models and state-of-the-art commercial solutions across multiple benchmarks.

🚀 Supports Consumer-grade GPUs: The T2V-1.3B model requires only 8.19 GB VRAM, making it compatible with almost all consumer-grade GPUs. It can generate a 5-second 480P video on an RTX 4090 in about 4 minutes (without optimization techniques like quantization). Its performance is even comparable to some closed-source models.

🎉 Multiple tasks: Wan2.1 excels in Text-to-Video, Image-to-Video, Video Editing, Text-to-Image, and Video-to-Audio, advancing the field of video generation.

🔮 Visual Text Generation: Wan2.1 is the first video model capable of generating both Chinese and English text, featuring robust text generation that enhances its practical applications.

💪 Powerful Video VAE: Wan-VAE delivers exceptional efficiency and performance, encoding and decoding 1080P videos of any length while preserving temporal information, making it an ideal foundation for video and image generation.

https://huggingface.co/Comfy-Org/Wan_2.1_ComfyUI_repackaged/tree/main/split_files

https://huggingface.co/Comfy-Org/Wan_2.1_ComfyUI_repackaged/tree/main/example%20workflows_Wan2.1

https://huggingface.co/Wan-AI/Wan2.1-T2V-14B

https://huggingface.co/Kijai/WanVideo_comfy/tree/main

https://www.galileo.ai/blog/agent-leaderboard

https://huggingface.co/spaces/galileo-ai/agent-leaderboard

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.

https://huggingface.co/spaces/PeiqingYang/MatAnyone

https://pq-yang.github.io/projects/MatAnyone

https://saiyan-world.github.io/goku