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A Wan 2.1 ATI workflow. ATI stands for any trajectory instruction. What it does is, it moves parts of the image in different directions, defined by paths. These paths can be adjusted in the workflow.
Perfil de ejecución
Descripción de la fuente
Description
A Wan 2.1 ATI workflow. ATI stands for any trajectory instruction. What it does is, it moves parts of the image in different directions, defined by paths. These paths can be adjusted in the workflow.
Time
The example video was generated in 420 seconds.
Requirements
This workflow was generated with 16 gb vram. Minimum requirement is 12 gb vram. And you should not have fewer than 32 gb system ram.
Requisito de VRAM estimado
Comentario generado por IA
Explicación generada por IA basada en los detalles de la fuente y la configuración. Las sugerencias están claramente identificadas.
Use Wan 2.1 ATI (ATI means any trajectory instruction) to move parts of an image in different directions along adjustable paths; it takes an image and path definitions and produces a video.
Input: an image and paths that define movement. Output: a generated video.
Wan 2.1 ATI is listed as a workflow with SD 1.5 as its base model and Arunderan as its publisher.
The listed minimum is 12 GB of VRAM and at least 32 GB of system RAM; the example used 16 GB of VRAM.
The workflow requires these node packs: comfyui_fill-nodes, comfyui-frame-interpolation, comfyui-kjnodes, and comfyui-videohelpersuite.
The workflow requires these model files: umt5_xxl_fp8_e4m3fn_scaled.safetensors, wan_2.1_vae.safetensors, wan2.1_vace_14B_fp16.safetensors, Wan21_CausVid_14B_T2V_lora_rank32.safetensors, clip_vision_h.safetensors, and Wan2_1-I2V-ATI-14B_fp8_e4m3fn.safetensors.
Adjust the paths to define the directions in which image parts move.
Sugerencia · sin verificar
Treat 420 seconds as an example-video figure, not a runtime estimate for your setup.
Sugerencia · sin verificar
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Fuentes
1 fuenteExtractos de fuentes
1 extractoSource context: 69 downloads · Type Workflows · Base model SD 1.5
Estimación no disponible
304 MB en 1 de 6 archivos de modelos. Total de archivos de modelos + 25 % de sobrecarga de carga + 2 GB de margen de ejecución, redondeado hacia arriba.
Requisitos
10 requisitosVision model · Unknown
umt5_xxl_fp8_e4m3fn_scaled.safetensors
Archivo sin verificarText encoder · Hugging Face · Comfy-Org/Wan_2.1_ComfyUI_repackaged · Comfy-Org/Wan_2.1_ComfyUI_repackaged · Hugging Face
VAE · Hugging Face · Comfy-Org/Wan_2.1_ComfyUI_repackaged · Comfy-Org/Wan_2.1_ComfyUI_repackaged · Hugging Face
Wan2_1-I2V-ATI-14B_fp8_e4m3fn.safetensors
Archivo sin verificarCheckpoint · SAFETENSORS · Unknown
wan2.1_vace_14B_fp16.safetensors
Archivo sin verificarCheckpoint · Hugging Face · Comfy-Org/Wan_2.1_ComfyUI_repackaged · Comfy-Org/Wan_2.1_ComfyUI_repackaged · Hugging Face
LoRA · 304 MB · SAFETENSORS · Hugging Face · Kijai/WanVideo_comfy
Paquete de nodos · Registry
Paquete de nodos · Registry
Paquete de nodos · Registry
Paquete de nodos · Registry
