Increasing Motion Scale results in more motion but can sometimes give wild results.

1.0 - 1.4 seems to be the range from my testing but feel free to experiment!

Hyper-SD15-8steps-lora.safetensors

https://huggingface.co/ByteDance/Hyper-SD/resolve/main/Hyper-SD15-8steps-lora.safetensors?download=true

Any SD1.5 checkpoint should work.

Make sure to match VAE according to the Checkpoint you use. If none is specified use embedded VAE or vae-ft-MSE-840000-ema-pruned

/ComfyUI/models/clip_vision folder

Download and rename to "CLIP-ViT-H-14-laion2B-s32B-b79K.safetensors" https://huggingface.co/h94/IP-Adapter/resolve/main/models/image_encoder/model.safetensors

Download and rename to "CLIP-ViT-bigG-14-laion2B-39B-b160k.safetensors" https://huggingface.co/h94/IP-Adapter/resolve/main/sdxl_models/image_encoder/model.safetensors

To keep the look closer to original images you can increase the weights of ipadapters and/or change to ipadapter Plus model in the Unified Loader node.

v3_sd15_mm.ckpt

Installable via Manager -> Install Models

or

https://huggingface.co/guoyww/animatediff/resolve/main/v3_sd15_mm.ckpt?download=true

animatediff/v3_sd15_adapter.ckpt

Installable via Manager -> Install Models

or

https://huggingface.co/guoyww/animatediff/resolve/main/v3_sd15_adapter.ckpt?download=true

On higher VRAM cards I suggest you use starting resolution 320x568 or higher. (Longer to process + higher vram usage)

Keep batch_size same unless you know what you're doing - Currently, IPAdapter attention mask values aren't modular and need to be hand adjusted when changing the batch size.

You can bypass the 3 video outputs on the right to skip the upscaling process until u are happy with the motion/look of the preview. (Keep seed randomized until u are happy with preview then Fix the seed and unbypass)