Sliding window is trigged automatically when generating more than 16 frames. To adjust the trigger number and other options, use SlidingWindowOptions node. See the sample workflow bellow.

Nodes

AnimateDiffLoader

AnimateDiffSampler

Mostly the same with KSampler
motion_module: use AnimateDiffLoader to load the motion module
inject_method: should left default
frame_number: animation length
latent_image: You can pass an EmptyLatentImage
sliding_window_opts: custom sliding window options

AnimateDiffCombine

Combine GIF frames and produce the GIF image
frame_rate: number of frame per second
loop_count: use 0 for infinite loop
save_image: should GIF be saved to disk
format: supports image/gif, image/webp (better compression), video/webm, video/h264-mp4, video/h265-mp4. To use video formats, you'll need ffmpeg installed and available in PATH

SlidingWindowOptions

Custom sliding window options

context_length: number of frame per window. Use 16 to get the best results. Reduce it if you have low VRAM.
closed_loop: try to make the GIF a closed loop. Will take longer to render.

LoadVideo

Load GIF or video as images. Usefull to load a GIF as ControlNet input.

frame_start: Skip some begining frames and start at frame_start
frame_limit: Only take frame_limit frames

Workflows

Simple txt2gif

Workflow: simple.json

Samples:

Long duration with sliding window

Workflow: sliding-window.json

Samples:

Latent upscale

Upscale latent output using LatentUpscale then do a 2nd pass with AnimateDiffSampler.

Workflow: latent-upscale.json

Samples:

Using with ControlNet

You will need following additional nodes:

Kosinkadink/ComfyUI-Advanced-ControlNet: Apply different weight for each latent in batch
Fannovel16/comfyui_controlnet_aux: ControlNet preprocessors

Animate with starting and ending images

Use LatentKeyframe and TimestampKeyframe from ComfyUI-Advanced-ControlNet to apply diffrent weights for each latent index.
Use 2 controlnet modules for two images with weights reverted.

Workflow: cn-2images.json

Samples:

Using GIF as ControlNet input

Using a GIF (or video, or a list of images) as ControlNet input.

Workflow: cn-vid2vid.json

Samples:

Known Issues

GIF split into multiple scenes

Work around:

Shorter your prompt and negative prompt
Reduce resolution. AnimateDiff is trained on 512x512 images so it works best with 512x512 output.
Disable xformers with --disable-xformers

GIF has Wartermark (especially when using mm_sd_v15)

See: https://github.com/continue-revolution/sd-webui-animatediff/issues/31

Training data used by the authors of the AnimateDiff paper contained Shutterstock watermarks. Since mm_sd_v15 was finetuned on finer, less drastic movement, the motion module attempts to replicate the transparency of that watermark and does not get blurred away like mm_sd_v14. Try other community finetuned modules.