User friendly with minimalism style, no useless nodes. Workflow use special nodes: - LTX Gemma API Text Encode - LTX Multimodal Guider - CacheDiT LTX-2 Accelerator 1) To use this workflow, you need to register on LTX oficial page (full instruction inside workflow) to receive a free api key. This process is easier than you think.2) CacheDiT LTX-2 Accelerator - Speeds up LTX-2 generation almost twice. 2) To install missing nodes use (Manager -&gt; Install missing Custom Nodes)3) No need to use Text Encoder model 4) other instructions inside workflow

LTX2_FirstFrame-LastFrame

User friendly with minimalism style, no useless nodes. Workflow use special nodes: - LTX Gemma API Text Encode - LTX Multimodal Guider - CacheDiT LTX-2 Accelerator 1) To use this workflow, you need to register on LTX oficial page (full instruction inside workflow) to receive a free api key. This process is easier than you think.2) CacheDiT LTX-2 Accelerator - Speeds up LTX-2 generation almost twice. 2) To install missing nodes use (Manager -&gt; Install missing Custom Nodes)3) No need to use Text Encoder model 4) other instructions inside workflowCacheDiT_LTX2_Optimizer you need to install it through "git clone <a target="_blank" rel="ugc" href="https://github.com/Jasonzzt/ComfyUI-CacheDiT.git">https://github.com/Jasonzzt/ComfyUI-CacheDiT.git</a>" inside ComfyUI/custom_nodes/ . Then go to /ComfyUI folder and and use terminal to command ".\python_embeded\python.exe -m pip install -r .\ComfyUI\custom_nodes\ComfyUI-CacheDiT\requirements.txt".

Files with SHA256: 69124c5a086a0d45fa4d603baefc7e6bfcfbb957836333797dbd5be6ebffc383