A workflow I've made that generates a nice image with txt2image and then uses that image to make a video with Wan2.2 TI2V 5B Q4. ideally this is to generate an image with max quality and then use that image to generate a video faster. The image quality does drop on the video but that's to be expected. You could try using Wan2.2 TI2V regular model for better quality but it requires more steps and a little more VRAM. Created the compilation video with this workflow. Nodes can be found in ComfyUI manager. <a target="_blank" rel="ugc" href="https://github.com/Isi-dev/ComfyUI_Animation_Nodes_and_Workflows/tree/main/animationWorkflows/joinVideos">https://github.com/Isi-dev/ComfyUI_Animation_Nodes_and_Workflows/tree/main/animationWorkflows/joinVideos</a> Here is the link to the quant versions of WAN2.2 TI2V <a target="_blank" rel="ugc" href="https://huggingface.co/QuantStack/Wan2.2-TI2V-5B-GGUF/tree/main">https://huggingface.co/QuantStack/Wan2.2-TI2V-5B-GGUF/tree/main</a> Fast Lora <a target="_blank" rel="ugc" href="https://huggingface.co/Kijai/WanVideo_comfy/blob/main/FastWan/Wan2_2_5B_FastWanFullAttn_lora_rank_128_bf16.safetensors">https://huggingface.co/Kijai/WanVideo_comfy/blob/main/FastWan/Wan2_2_5B_FastWanFullAttn_lora_rank_128_bf16.safetensors</a> All the checkpoints and lora's used in this workflow were found in CivitAi, Huggin Face, or ComfyUI provided links to them.

ComfyUI_INTEL_LOWVRAM_WAN2.2

Added notes and descriptions to the process. All models can be found on CivitAI or Huggin Face. I didn't use some weird scammy site to get the models, so please be careful where you get them at.

Files with SHA256: bb40e103a3a96fdd8d6b070ce2ebb55b7d7144f488120137e0104294c9c20d9a