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 -> Install missing Custom Nodes)
3) No need to use Text Encoder model
4) other instructions inside workflow
Description
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 -> Install missing Custom Nodes)
3) No need to use Text Encoder model
4) other instructions inside workflow
CacheDiT_LTX2_Optimizer you need to install it through "git clone https://github.com/Jasonzzt/ComfyUI-CacheDiT.git" 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".
FAQ
Comments (6)
Please tell me where to find these JWFloatToInteger nodes CacheDiT_LTX2_Optimizer, Install missing Custom Nodes does not fix this error
CacheDiT_LTX2_Optimizer you need to install it through "git clone https://github.com/Jasonzzt/ComfyUI-CacheDiT.git" 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". Check this GitHub - Jasonzzt/ComfyUI-CacheDiT: Cache-DiT Node for Comfyui .
@Raw_Fantasy Ok, thanks for the help.
Edited, check again
Is the Gemma API text encoder censored?
Is there a version of the wf without the API Key registration?