fix: only add timestamps to browser-previewed outputs

Reverted timestamp addition for non-previewed files:
- SaveLatent (.latent) - not previewed in browser
- CheckpointSave, CLIPSave, VAESave (.safetensors) - model files
- ExtractAndSaveLoRA, SaveLoRA (.safetensors) - LoRA files

Kept timestamps for browser-previewed content:
- Images (PNG, SVG)
- Videos (WebM, MP4)
- Audio
- 3D models (GLB)

Amp-Thread-ID: https://ampcode.com/threads/T-019c1be0-7238-71ec-9c0b-2d4468d61202

comfy_extras/nodes_lora_extract.py

@@ -115,7 +115,7 @@ class LoraSave(io.ComfyNode):
         if text_encoder_diff is not None:
             output_sd = calc_lora_model(text_encoder_diff.patcher, rank, "", "text_encoders.", output_sd, lora_type, bias_diff=bias_diff)
 
-        output_checkpoint = folder_paths.format_output_filename(filename, counter, "safetensors")
+        output_checkpoint = f"{filename}_{counter:05}_.safetensors"
         output_checkpoint = os.path.join(full_output_folder, output_checkpoint)
 
         comfy.utils.save_torch_file(output_sd, output_checkpoint, metadata=None)

comfy_extras/nodes_model_merging.py

@@ -221,7 +221,7 @@ def save_checkpoint(model, clip=None, vae=None, clip_vision=None, filename_prefi
             for x in extra_pnginfo:
                 metadata[x] = json.dumps(extra_pnginfo[x])
 
-    output_checkpoint = folder_paths.format_output_filename(filename, counter, "safetensors")
+    output_checkpoint = f"{filename}_{counter:05}_.safetensors"
     output_checkpoint = os.path.join(full_output_folder, output_checkpoint)
 
     comfy.sd.save_checkpoint(output_checkpoint, model, clip, vae, clip_vision, metadata=metadata, extra_keys=extra_keys)
@@ -297,7 +297,7 @@ class CLIPSave:
 
             full_output_folder, filename, counter, subfolder, filename_prefix_ = folder_paths.get_save_image_path(filename_prefix_, self.output_dir)
 
-            output_checkpoint = folder_paths.format_output_filename(filename, counter, "safetensors")
+            output_checkpoint = f"{filename}_{counter:05}_.safetensors"
             output_checkpoint = os.path.join(full_output_folder, output_checkpoint)
 
             current_clip_sd = comfy.utils.state_dict_prefix_replace(current_clip_sd, replace_prefix)
@@ -333,7 +333,7 @@ class VAESave:
                 for x in extra_pnginfo:
                     metadata[x] = json.dumps(extra_pnginfo[x])
 
-        output_checkpoint = folder_paths.format_output_filename(filename, counter, "safetensors")
+        output_checkpoint = f"{filename}_{counter:05}_.safetensors"
         output_checkpoint = os.path.join(full_output_folder, output_checkpoint)
 
         comfy.utils.save_torch_file(vae.get_sd(), output_checkpoint, metadata=metadata)

comfy_extras/nodes_train.py

@@ -1221,9 +1221,9 @@ class SaveLoRA(io.ComfyNode):
             folder_paths.get_save_image_path(prefix, output_dir)
         )
         if steps is None:
-            output_checkpoint = folder_paths.format_output_filename(filename, counter, "safetensors")
+            output_checkpoint = f"{filename}_{counter:05}_.safetensors"
         else:
-            output_checkpoint = folder_paths.format_output_filename(f"{filename}_{steps}_steps", counter, "safetensors")
+            output_checkpoint = f"{filename}_{steps}_steps_{counter:05}_.safetensors"
         output_checkpoint = os.path.join(full_output_folder, output_checkpoint)
         safetensors.torch.save_file(lora, output_checkpoint)
         return io.NodeOutput()

nodes.py

@@ -508,7 +508,7 @@ class SaveLatent:
                 for x in extra_pnginfo:
                     metadata[x] = json.dumps(extra_pnginfo[x])
 
-        file = folder_paths.format_output_filename(filename, counter, "latent")
+        file = f"{filename}_{counter:05}_.latent"
 
         results: list[FileLocator] = []
         results.append({