feat: add timestamp to default filename_prefix for cache-busting

Change default filename_prefix on all previewable save nodes (image, video,
audio, 3D, SVG) from 'ComfyUI' to 'ComfyUI_%year%%month%%day%-%hour%%minute%%second%'.

This leverages the existing compute_vars template system in
get_save_image_path — zero new backend code needed. Each output gets a
unique filename per second, preventing browser cache from showing stale
previews when files are overwritten.

Users can customize or remove the template from the node widget.
Existing workflows retain their saved prefix value (only new nodes
get the new default). Custom nodes are unaffected — they define their
own defaults independently.

comfy_extras/nodes_audio.py

@@ -162,7 +162,7 @@ class SaveAudio(IO.ComfyNode):
             essentials_category="Audio",
             inputs=[
                 IO.Audio.Input("audio"),
-                IO.String.Input("filename_prefix", default="audio/ComfyUI"),
+                IO.String.Input("filename_prefix", default="audio/ComfyUI_%year%%month%%day%-%hour%%minute%%second%"),
             ],
             hidden=[IO.Hidden.prompt, IO.Hidden.extra_pnginfo],
             is_output_node=True,
@@ -187,7 +187,7 @@ class SaveAudioMP3(IO.ComfyNode):
             category="audio",
             inputs=[
                 IO.Audio.Input("audio"),
-                IO.String.Input("filename_prefix", default="audio/ComfyUI"),
+                IO.String.Input("filename_prefix", default="audio/ComfyUI_%year%%month%%day%-%hour%%minute%%second%"),
                 IO.Combo.Input("quality", options=["V0", "128k", "320k"], default="V0"),
             ],
             hidden=[IO.Hidden.prompt, IO.Hidden.extra_pnginfo],
@@ -215,7 +215,7 @@ class SaveAudioOpus(IO.ComfyNode):
             category="audio",
             inputs=[
                 IO.Audio.Input("audio"),
-                IO.String.Input("filename_prefix", default="audio/ComfyUI"),
+                IO.String.Input("filename_prefix", default="audio/ComfyUI_%year%%month%%day%-%hour%%minute%%second%"),
                 IO.Combo.Input("quality", options=["64k", "96k", "128k", "192k", "320k"], default="128k"),
             ],
             hidden=[IO.Hidden.prompt, IO.Hidden.extra_pnginfo],

comfy_extras/nodes_hunyuan3d.py

@@ -637,7 +637,7 @@ class SaveGLB(IO.ComfyNode):
                     ],
                     tooltip="Mesh or 3D file to save",
                 ),
-                IO.String.Input("filename_prefix", default="mesh/ComfyUI"),
+                IO.String.Input("filename_prefix", default="mesh/ComfyUI_%year%%month%%day%-%hour%%minute%%second%"),
             ],
             hidden=[IO.Hidden.prompt, IO.Hidden.extra_pnginfo]
         )

comfy_extras/nodes_images.py

@@ -190,7 +190,7 @@ class SaveAnimatedWEBP(IO.ComfyNode):
             category="image/animation",
             inputs=[
                 IO.Image.Input("images"),
-                IO.String.Input("filename_prefix", default="ComfyUI"),
+                IO.String.Input("filename_prefix", default="ComfyUI_%year%%month%%day%-%hour%%minute%%second%"),
                 IO.Float.Input("fps", default=6.0, min=0.01, max=1000.0, step=0.01),
                 IO.Boolean.Input("lossless", default=True),
                 IO.Int.Input("quality", default=80, min=0, max=100),
@@ -227,7 +227,7 @@ class SaveAnimatedPNG(IO.ComfyNode):
             category="image/animation",
             inputs=[
                 IO.Image.Input("images"),
-                IO.String.Input("filename_prefix", default="ComfyUI"),
+                IO.String.Input("filename_prefix", default="ComfyUI_%year%%month%%day%-%hour%%minute%%second%"),
                 IO.Float.Input("fps", default=6.0, min=0.01, max=1000.0, step=0.01),
                 IO.Int.Input("compress_level", default=4, min=0, max=9, advanced=True),
             ],
@@ -489,7 +489,7 @@ class SaveSVGNode(IO.ComfyNode):
                 IO.SVG.Input("svg"),
                 IO.String.Input(
                     "filename_prefix",
-                    default="svg/ComfyUI",
+                    default="svg/ComfyUI_%year%%month%%day%-%hour%%minute%%second%",
                     tooltip="The prefix for the file to save. This may include formatting information such as %date:yyyy-MM-dd% or %Empty Latent Image.width% to include values from nodes.",
                 ),
             ],

comfy_extras/nodes_video.py

@@ -21,7 +21,7 @@ class SaveWEBM(io.ComfyNode):
             is_experimental=True,
             inputs=[
                 io.Image.Input("images"),
-                io.String.Input("filename_prefix", default="ComfyUI"),
+                io.String.Input("filename_prefix", default="ComfyUI_%year%%month%%day%-%hour%%minute%%second%"),
                 io.Combo.Input("codec", options=["vp9", "av1"]),
                 io.Float.Input("fps", default=24.0, min=0.01, max=1000.0, step=0.01),
                 io.Float.Input("crf", default=32.0, min=0, max=63.0, step=1, tooltip="Higher crf means lower quality with a smaller file size, lower crf means higher quality higher filesize."),
@@ -77,7 +77,7 @@ class SaveVideo(io.ComfyNode):
             description="Saves the input images to your ComfyUI output directory.",
             inputs=[
                 io.Video.Input("video", tooltip="The video to save."),
-                io.String.Input("filename_prefix", default="video/ComfyUI", tooltip="The prefix for the file to save. This may include formatting information such as %date:yyyy-MM-dd% or %Empty Latent Image.width% to include values from nodes."),
+                io.String.Input("filename_prefix", default="video/ComfyUI_%year%%month%%day%-%hour%%minute%%second%", tooltip="The prefix for the file to save. This may include formatting information such as %date:yyyy-MM-dd% or %Empty Latent Image.width% to include values from nodes."),
                 io.Combo.Input("format", options=Types.VideoContainer.as_input(), default="auto", tooltip="The format to save the video as."),
                 io.Combo.Input("codec", options=Types.VideoCodec.as_input(), default="auto", tooltip="The codec to use for the video."),
             ],

folder_paths.py

@@ -472,26 +472,6 @@ def get_save_image_path(filename_prefix: str, output_dir: str, image_width=0, im
         counter = 1
     return full_output_folder, filename, counter, subfolder, filename_prefix
 
-def get_model_placeholder(folder_name: str) -> str:
-    """Generate placeholder text for empty model dropdowns.
-
-    Args:
-        folder_name: The name of the model folder (e.g., "checkpoints", "loras").
-
-    Returns:
-        A user-friendly placeholder string indicating where models should be placed.
-    """
-    folder_name = map_legacy(folder_name)
-    try:
-        paths = get_folder_paths(folder_name)
-    except KeyError:
-        paths = []
-
-    if paths:
-        return f"No models found — add to: {paths[0]}"
-    return f"No models found for '{folder_name}'..."
-
-
 def get_input_subfolders() -> list[str]:
     """Returns a list of all subfolder paths in the input directory, recursively.
 

nodes.py

@@ -589,10 +589,7 @@ class CheckpointLoaderSimple:
     def INPUT_TYPES(s):
         return {
             "required": {
-                "ckpt_name": (folder_paths.get_filename_list("checkpoints"), {
-                    "tooltip": "The name of the checkpoint (model) to load.",
-                    "placeholder": folder_paths.get_model_placeholder("checkpoints")
-                }),
+                "ckpt_name": (folder_paths.get_filename_list("checkpoints"), {"tooltip": "The name of the checkpoint (model) to load."}),
             }
         }
     RETURN_TYPES = ("MODEL", "CLIP", "VAE")
@@ -642,9 +639,7 @@ class DiffusersLoader:
 class unCLIPCheckpointLoader:
     @classmethod
     def INPUT_TYPES(s):
-        return {"required": { "ckpt_name": (folder_paths.get_filename_list("checkpoints"), {
-                                "placeholder": folder_paths.get_model_placeholder("checkpoints")
-                             }),
+        return {"required": { "ckpt_name": (folder_paths.get_filename_list("checkpoints"), ),
                              }}
     RETURN_TYPES = ("MODEL", "CLIP", "VAE", "CLIP_VISION")
     FUNCTION = "load_checkpoint"
@@ -684,10 +679,7 @@ class LoraLoader:
             "required": {
                 "model": ("MODEL", {"tooltip": "The diffusion model the LoRA will be applied to."}),
                 "clip": ("CLIP", {"tooltip": "The CLIP model the LoRA will be applied to."}),
-                "lora_name": (folder_paths.get_filename_list("loras"), {
-                    "tooltip": "The name of the LoRA.",
-                    "placeholder": folder_paths.get_model_placeholder("loras")
-                }),
+                "lora_name": (folder_paths.get_filename_list("loras"), {"tooltip": "The name of the LoRA."}),
                 "strength_model": ("FLOAT", {"default": 1.0, "min": -100.0, "max": 100.0, "step": 0.01, "tooltip": "How strongly to modify the diffusion model. This value can be negative."}),
                 "strength_clip": ("FLOAT", {"default": 1.0, "min": -100.0, "max": 100.0, "step": 0.01, "tooltip": "How strongly to modify the CLIP model. This value can be negative."}),
             }
@@ -724,9 +716,7 @@ class LoraLoaderModelOnly(LoraLoader):
     @classmethod
     def INPUT_TYPES(s):
         return {"required": { "model": ("MODEL",),
-                              "lora_name": (folder_paths.get_filename_list("loras"), {
-                                  "placeholder": folder_paths.get_model_placeholder("loras")
-                              }),
+                              "lora_name": (folder_paths.get_filename_list("loras"), ),
                               "strength_model": ("FLOAT", {"default": 1.0, "min": -100.0, "max": 100.0, "step": 0.01}),
                               }}
     RETURN_TYPES = ("MODEL",)
@@ -816,9 +806,7 @@ class VAELoader:
 
     @classmethod
     def INPUT_TYPES(s):
-        return {"required": { "vae_name": (s.vae_list(s), {
-            "placeholder": folder_paths.get_model_placeholder("vae")
-        })}}
+        return {"required": { "vae_name": (s.vae_list(s), )}}
     RETURN_TYPES = ("VAE",)
     FUNCTION = "load_vae"
 
@@ -845,9 +833,7 @@ class VAELoader:
 class ControlNetLoader:
     @classmethod
     def INPUT_TYPES(s):
-        return {"required": { "control_net_name": (folder_paths.get_filename_list("controlnet"), {
-            "placeholder": folder_paths.get_model_placeholder("controlnet")
-        })}}
+        return {"required": { "control_net_name": (folder_paths.get_filename_list("controlnet"), )}}
 
     RETURN_TYPES = ("CONTROL_NET",)
     FUNCTION = "load_controlnet"
@@ -866,9 +852,7 @@ class DiffControlNetLoader:
     @classmethod
     def INPUT_TYPES(s):
         return {"required": { "model": ("MODEL",),
-                              "control_net_name": (folder_paths.get_filename_list("controlnet"), {
-                                  "placeholder": folder_paths.get_model_placeholder("controlnet")
-                              })}}
+                              "control_net_name": (folder_paths.get_filename_list("controlnet"), )}}
 
     RETURN_TYPES = ("CONTROL_NET",)
     FUNCTION = "load_controlnet"
@@ -966,9 +950,7 @@ class ControlNetApplyAdvanced:
 class UNETLoader:
     @classmethod
     def INPUT_TYPES(s):
-        return {"required": { "unet_name": (folder_paths.get_filename_list("diffusion_models"), {
-                                  "placeholder": folder_paths.get_model_placeholder("diffusion_models")
-                              }),
+        return {"required": { "unet_name": (folder_paths.get_filename_list("diffusion_models"), ),
                               "weight_dtype": (["default", "fp8_e4m3fn", "fp8_e4m3fn_fast", "fp8_e5m2"],)
                              }}
     RETURN_TYPES = ("MODEL",)
@@ -993,9 +975,7 @@ class UNETLoader:
 class CLIPLoader:
     @classmethod
     def INPUT_TYPES(s):
-        return {"required": { "clip_name": (folder_paths.get_filename_list("text_encoders"), {
-                                  "placeholder": folder_paths.get_model_placeholder("text_encoders")
-                              }),
+        return {"required": { "clip_name": (folder_paths.get_filename_list("text_encoders"), ),
                               "type": (["stable_diffusion", "stable_cascade", "sd3", "stable_audio", "mochi", "ltxv", "pixart", "cosmos", "lumina2", "wan", "hidream", "chroma", "ace", "omnigen2", "qwen_image", "hunyuan_image", "flux2", "ovis", "longcat_image"], ),
                               },
                 "optional": {
@@ -1022,12 +1002,8 @@ class CLIPLoader:
 class DualCLIPLoader:
     @classmethod
     def INPUT_TYPES(s):
-        return {"required": { "clip_name1": (folder_paths.get_filename_list("text_encoders"), {
-                                  "placeholder": folder_paths.get_model_placeholder("text_encoders")
-                              }),
-                              "clip_name2": (folder_paths.get_filename_list("text_encoders"), {
-                                  "placeholder": folder_paths.get_model_placeholder("text_encoders")
-                              }),
+        return {"required": { "clip_name1": (folder_paths.get_filename_list("text_encoders"), ),
+                              "clip_name2": (folder_paths.get_filename_list("text_encoders"), ),
                               "type": (["sdxl", "sd3", "flux", "hunyuan_video", "hidream", "hunyuan_image", "hunyuan_video_15", "kandinsky5", "kandinsky5_image", "ltxv", "newbie", "ace"], ),
                               },
                 "optional": {
@@ -1056,9 +1032,7 @@ class DualCLIPLoader:
 class CLIPVisionLoader:
     @classmethod
     def INPUT_TYPES(s):
-        return {"required": { "clip_name": (folder_paths.get_filename_list("clip_vision"), {
-                                  "placeholder": folder_paths.get_model_placeholder("clip_vision")
-                             }),
+        return {"required": { "clip_name": (folder_paths.get_filename_list("clip_vision"), ),
                              }}
     RETURN_TYPES = ("CLIP_VISION",)
     FUNCTION = "load_clip"
@@ -1094,9 +1068,7 @@ class CLIPVisionEncode:
 class StyleModelLoader:
     @classmethod
     def INPUT_TYPES(s):
-        return {"required": { "style_model_name": (folder_paths.get_filename_list("style_models"), {
-            "placeholder": folder_paths.get_model_placeholder("style_models")
-        })}}
+        return {"required": { "style_model_name": (folder_paths.get_filename_list("style_models"), )}}
 
     RETURN_TYPES = ("STYLE_MODEL",)
     FUNCTION = "load_style_model"
@@ -1195,9 +1167,7 @@ class unCLIPConditioning:
 class GLIGENLoader:
     @classmethod
     def INPUT_TYPES(s):
-        return {"required": { "gligen_name": (folder_paths.get_filename_list("gligen"), {
-            "placeholder": folder_paths.get_model_placeholder("gligen")
-        })}}
+        return {"required": { "gligen_name": (folder_paths.get_filename_list("gligen"), )}}
 
     RETURN_TYPES = ("GLIGEN",)
     FUNCTION = "load_gligen"
@@ -1668,7 +1638,7 @@ class SaveImage:
         return {
             "required": {
                 "images": ("IMAGE", {"tooltip": "The images to save."}),
-                "filename_prefix": ("STRING", {"default": "ComfyUI", "tooltip": "The prefix for the file to save. This may include formatting information such as %date:yyyy-MM-dd% or %Empty Latent Image.width% to include values from nodes."})
+                "filename_prefix": ("STRING", {"default": "ComfyUI_%year%%month%%day%-%hour%%minute%%second%", "tooltip": "The prefix for the file to save. This may include formatting information such as %date:yyyy-MM-dd% or %Empty Latent Image.width% to include values from nodes."})
             },
             "hidden": {
                 "prompt": "PROMPT", "extra_pnginfo": "EXTRA_PNGINFO"