Use this script to optimise frame sequences before sending the smallest necessary frame area to ComfyUI, VitMatte, or another GPU-memory-hungry processing or compositing step. It works with RotoShapes, Crop, and CurveTool. Use the offset parameter to enlarge or reduce the bounding box. Python Script is here on Github

Demo video

Katie Morris needed help installing ComfyUI on her macOS system. I made a training video for her, and now everyone can benefit from it.

A new ComfyUI for VFX training course is available today on Borgo.tv Training. The course is in Portuguese and covers everything from installation to advanced Stable Diffusion workflows for image and video VFX work.

Topics covered:

• Local installation, interface, prompts, and prompt conditioning
• Stable Diffusion 1.5, SDXL, templates, checkpoints, LoRAs, ControlNets, inpainting, outpainting, IP-Adapters, upscaling, and sampler refinement
• Text-to-image, image-to-image, and animation with Stable Diffusion and AnimateDiff
• SDXL in depth: CLIP_G, CLIP_L, base and refiner workflows, resolutions, SDXL Lightning, SDXL Turbo, and PAG (Perturbed Attention Guidance)
• ProPainter and guidance for problematic or advanced ComfyUI installations
• FLUX.1, FLUX.1 ControlNet models, and inpainting with FLUX
• CogVideoX video generation

EDIT (Updates since the original post date):

- Wan2.1 video generation: text-to-video, image-to-video, Fun image-to-video with ControlNets, Advanced WAN, granular memory management, and accelerators such as SageAttention, TeaCache, and Enhance-A-Video - Wan2.1 VACE: video manipulation with inpainting, outpainting, ControlNets, first and last frames, and video upscaling - Loops for automation and extension of video workflows - Krea2 for artistic image generation, LoRA use, image referencing, ControlNets, and custom LoRA creation with ai-toolkit