From 8cf7e08df8b46a03805ab6ba9f6141d7836e2708 Mon Sep 17 00:00:00 2001 From: Alexis Rolland Date: Fri, 8 May 2026 08:16:28 +0800 Subject: [PATCH] Update _for_testing to experimental --- comfy_extras/nodes_advanced_samplers.py | 2 +- comfy_extras/nodes_attention_multiply.py | 8 ++++---- comfy_extras/nodes_cond.py | 4 ++-- comfy_extras/nodes_custom_sampler.py | 4 ++-- comfy_extras/nodes_differential_diffusion.py | 2 +- comfy_extras/nodes_fresca.py | 2 +- comfy_extras/nodes_lora_extract.py | 2 +- comfy_extras/nodes_mahiro.py | 2 +- comfy_extras/nodes_perpneg.py | 4 ++-- comfy_extras/nodes_photomaker.py | 4 ++-- comfy_extras/nodes_sag.py | 2 +- comfy_extras/nodes_stable_cascade.py | 2 +- comfy_extras/nodes_torch_compile.py | 2 +- nodes.py | 12 +++++------ .../testing-pack/api_test_nodes.py | 4 ++-- .../testing-pack/async_test_nodes.py | 20 +++++++++---------- .../testing-pack/specific_tests.py | 6 +++--- 17 files changed, 41 insertions(+), 41 deletions(-) diff --git a/comfy_extras/nodes_advanced_samplers.py b/comfy_extras/nodes_advanced_samplers.py index 7f716cd76..7e8411fa4 100644 --- a/comfy_extras/nodes_advanced_samplers.py +++ b/comfy_extras/nodes_advanced_samplers.py @@ -92,7 +92,7 @@ class SamplerEulerCFGpp(io.ComfyNode): return io.Schema( node_id="SamplerEulerCFGpp", display_name="SamplerEulerCFG++", - category="_for_testing", # "sampling/custom_sampling/samplers" + category="experimental", # "sampling/custom_sampling/samplers" inputs=[ io.Combo.Input("version", options=["regular", "alternative"], advanced=True), ], diff --git a/comfy_extras/nodes_attention_multiply.py b/comfy_extras/nodes_attention_multiply.py index 060a5c9be..f4ee6a689 100644 --- a/comfy_extras/nodes_attention_multiply.py +++ b/comfy_extras/nodes_attention_multiply.py @@ -25,7 +25,7 @@ class UNetSelfAttentionMultiply(io.ComfyNode): def define_schema(cls) -> io.Schema: return io.Schema( node_id="UNetSelfAttentionMultiply", - category="_for_testing/attention_experiments", + category="experimental/attention_experiments", inputs=[ io.Model.Input("model"), io.Float.Input("q", default=1.0, min=0.0, max=10.0, step=0.01, advanced=True), @@ -48,7 +48,7 @@ class UNetCrossAttentionMultiply(io.ComfyNode): def define_schema(cls) -> io.Schema: return io.Schema( node_id="UNetCrossAttentionMultiply", - category="_for_testing/attention_experiments", + category="experimental/attention_experiments", inputs=[ io.Model.Input("model"), io.Float.Input("q", default=1.0, min=0.0, max=10.0, step=0.01, advanced=True), @@ -72,7 +72,7 @@ class CLIPAttentionMultiply(io.ComfyNode): return io.Schema( node_id="CLIPAttentionMultiply", search_aliases=["clip attention scale", "text encoder attention"], - category="_for_testing/attention_experiments", + category="experimental/attention_experiments", inputs=[ io.Clip.Input("clip"), io.Float.Input("q", default=1.0, min=0.0, max=10.0, step=0.01, advanced=True), @@ -106,7 +106,7 @@ class UNetTemporalAttentionMultiply(io.ComfyNode): def define_schema(cls) -> io.Schema: return io.Schema( node_id="UNetTemporalAttentionMultiply", - category="_for_testing/attention_experiments", + category="experimental/attention_experiments", inputs=[ io.Model.Input("model"), io.Float.Input("self_structural", default=1.0, min=0.0, max=10.0, step=0.01, advanced=True), diff --git a/comfy_extras/nodes_cond.py b/comfy_extras/nodes_cond.py index 86426a780..b745a43af 100644 --- a/comfy_extras/nodes_cond.py +++ b/comfy_extras/nodes_cond.py @@ -8,7 +8,7 @@ class CLIPTextEncodeControlnet(io.ComfyNode): def define_schema(cls) -> io.Schema: return io.Schema( node_id="CLIPTextEncodeControlnet", - category="_for_testing/conditioning", + category="experimental/conditioning", inputs=[ io.Clip.Input("clip"), io.Conditioning.Input("conditioning"), @@ -35,7 +35,7 @@ class T5TokenizerOptions(io.ComfyNode): def define_schema(cls) -> io.Schema: return io.Schema( node_id="T5TokenizerOptions", - category="_for_testing/conditioning", + category="experimental/conditioning", inputs=[ io.Clip.Input("clip"), io.Int.Input("min_padding", default=0, min=0, max=10000, step=1, advanced=True), diff --git a/comfy_extras/nodes_custom_sampler.py b/comfy_extras/nodes_custom_sampler.py index 1e957c09b..c67145d2d 100644 --- a/comfy_extras/nodes_custom_sampler.py +++ b/comfy_extras/nodes_custom_sampler.py @@ -984,7 +984,7 @@ class AddNoise(io.ComfyNode): def define_schema(cls): return io.Schema( node_id="AddNoise", - category="_for_testing/custom_sampling/noise", + category="experimental/custom_sampling/noise", is_experimental=True, inputs=[ io.Model.Input("model"), @@ -1034,7 +1034,7 @@ class ManualSigmas(io.ComfyNode): return io.Schema( node_id="ManualSigmas", search_aliases=["custom noise schedule", "define sigmas"], - category="_for_testing/custom_sampling", + category="experimental/custom_sampling", is_experimental=True, inputs=[ io.String.Input("sigmas", default="1, 0.5", multiline=False) diff --git a/comfy_extras/nodes_differential_diffusion.py b/comfy_extras/nodes_differential_diffusion.py index 34ffb9a89..4fa61ad0e 100644 --- a/comfy_extras/nodes_differential_diffusion.py +++ b/comfy_extras/nodes_differential_diffusion.py @@ -13,7 +13,7 @@ class DifferentialDiffusion(io.ComfyNode): node_id="DifferentialDiffusion", search_aliases=["inpaint gradient", "variable denoise strength"], display_name="Differential Diffusion", - category="_for_testing", + category="experimental", inputs=[ io.Model.Input("model"), io.Float.Input( diff --git a/comfy_extras/nodes_fresca.py b/comfy_extras/nodes_fresca.py index eab4f303f..173f42154 100644 --- a/comfy_extras/nodes_fresca.py +++ b/comfy_extras/nodes_fresca.py @@ -60,7 +60,7 @@ class FreSca(io.ComfyNode): node_id="FreSca", search_aliases=["frequency guidance"], display_name="FreSca", - category="_for_testing", + category="experimental", description="Applies frequency-dependent scaling to the guidance", inputs=[ io.Model.Input("model"), diff --git a/comfy_extras/nodes_lora_extract.py b/comfy_extras/nodes_lora_extract.py index 975f90f45..bcd249c29 100644 --- a/comfy_extras/nodes_lora_extract.py +++ b/comfy_extras/nodes_lora_extract.py @@ -91,7 +91,7 @@ class LoraSave(io.ComfyNode): node_id="LoraSave", search_aliases=["export lora"], display_name="Extract and Save Lora", - category="_for_testing", + category="experimental", inputs=[ io.String.Input("filename_prefix", default="loras/ComfyUI_extracted_lora"), io.Int.Input("rank", default=8, min=1, max=4096, step=1, advanced=True), diff --git a/comfy_extras/nodes_mahiro.py b/comfy_extras/nodes_mahiro.py index a25226e6d..7bd5f6652 100644 --- a/comfy_extras/nodes_mahiro.py +++ b/comfy_extras/nodes_mahiro.py @@ -11,7 +11,7 @@ class Mahiro(io.ComfyNode): return io.Schema( node_id="Mahiro", display_name="Positive-Biased Guidance", - category="_for_testing", + category="experimental", description="Modify the guidance to scale more on the 'direction' of the positive prompt rather than the difference between the negative prompt.", inputs=[ io.Model.Input("model"), diff --git a/comfy_extras/nodes_perpneg.py b/comfy_extras/nodes_perpneg.py index e6f94eaf9..8f2a14886 100644 --- a/comfy_extras/nodes_perpneg.py +++ b/comfy_extras/nodes_perpneg.py @@ -25,7 +25,7 @@ class PerpNeg(io.ComfyNode): return io.Schema( node_id="PerpNeg", display_name="Perp-Neg (DEPRECATED)", - category="_for_testing", + category="experimental", inputs=[ io.Model.Input("model"), io.Conditioning.Input("empty_conditioning"), @@ -128,7 +128,7 @@ class PerpNegGuider(io.ComfyNode): return io.Schema( node_id="PerpNegGuider", display_name="Perp-Neg Guider", - category="_for_testing", + category="experimental", inputs=[ io.Model.Input("model"), io.Conditioning.Input("positive"), diff --git a/comfy_extras/nodes_photomaker.py b/comfy_extras/nodes_photomaker.py index 228183c07..8a2248572 100644 --- a/comfy_extras/nodes_photomaker.py +++ b/comfy_extras/nodes_photomaker.py @@ -123,7 +123,7 @@ class PhotoMakerLoader(io.ComfyNode): def define_schema(cls): return io.Schema( node_id="PhotoMakerLoader", - category="_for_testing/photomaker", + category="experimental/photomaker", inputs=[ io.Combo.Input("photomaker_model_name", options=folder_paths.get_filename_list("photomaker")), ], @@ -149,7 +149,7 @@ class PhotoMakerEncode(io.ComfyNode): def define_schema(cls): return io.Schema( node_id="PhotoMakerEncode", - category="_for_testing/photomaker", + category="experimental/photomaker", inputs=[ io.Photomaker.Input("photomaker"), io.Image.Input("image"), diff --git a/comfy_extras/nodes_sag.py b/comfy_extras/nodes_sag.py index d9c47851c..9dbf1b6f9 100644 --- a/comfy_extras/nodes_sag.py +++ b/comfy_extras/nodes_sag.py @@ -113,7 +113,7 @@ class SelfAttentionGuidance(io.ComfyNode): return io.Schema( node_id="SelfAttentionGuidance", display_name="Self-Attention Guidance", - category="_for_testing", + category="experimental", inputs=[ io.Model.Input("model"), io.Float.Input("scale", default=0.5, min=-2.0, max=5.0, step=0.01), diff --git a/comfy_extras/nodes_stable_cascade.py b/comfy_extras/nodes_stable_cascade.py index 8c1aebca9..0dc6c9fcd 100644 --- a/comfy_extras/nodes_stable_cascade.py +++ b/comfy_extras/nodes_stable_cascade.py @@ -119,7 +119,7 @@ class StableCascade_SuperResolutionControlnet(io.ComfyNode): def define_schema(cls): return io.Schema( node_id="StableCascade_SuperResolutionControlnet", - category="_for_testing/stable_cascade", + category="experimental/stable_cascade", is_experimental=True, inputs=[ io.Image.Input("image"), diff --git a/comfy_extras/nodes_torch_compile.py b/comfy_extras/nodes_torch_compile.py index c9e2e0026..d4506b1a9 100644 --- a/comfy_extras/nodes_torch_compile.py +++ b/comfy_extras/nodes_torch_compile.py @@ -10,7 +10,7 @@ class TorchCompileModel(io.ComfyNode): def define_schema(cls) -> io.Schema: return io.Schema( node_id="TorchCompileModel", - category="_for_testing", + category="experimental", inputs=[ io.Model.Input("model"), io.Combo.Input( diff --git a/nodes.py b/nodes.py index e587f0170..ae9e70cb9 100644 --- a/nodes.py +++ b/nodes.py @@ -330,7 +330,7 @@ class VAEDecodeTiled: RETURN_TYPES = ("IMAGE",) FUNCTION = "decode" - CATEGORY = "_for_testing" + CATEGORY = "experimental" def decode(self, vae, samples, tile_size, overlap=64, temporal_size=64, temporal_overlap=8): if tile_size < overlap * 4: @@ -377,7 +377,7 @@ class VAEEncodeTiled: RETURN_TYPES = ("LATENT",) FUNCTION = "encode" - CATEGORY = "_for_testing" + CATEGORY = "experimental" def encode(self, vae, pixels, tile_size, overlap, temporal_size=64, temporal_overlap=8): t = vae.encode_tiled(pixels, tile_x=tile_size, tile_y=tile_size, overlap=overlap, tile_t=temporal_size, overlap_t=temporal_overlap) @@ -493,7 +493,7 @@ class SaveLatent: OUTPUT_NODE = True - CATEGORY = "_for_testing" + CATEGORY = "experimental" def save(self, samples, filename_prefix="ComfyUI", prompt=None, extra_pnginfo=None): full_output_folder, filename, counter, subfolder, filename_prefix = folder_paths.get_save_image_path(filename_prefix, self.output_dir) @@ -538,7 +538,7 @@ class LoadLatent: files = [f for f in os.listdir(input_dir) if os.path.isfile(os.path.join(input_dir, f)) and f.endswith(".latent")] return {"required": {"latent": [sorted(files), ]}, } - CATEGORY = "_for_testing" + CATEGORY = "experimental" RETURN_TYPES = ("LATENT", ) FUNCTION = "load" @@ -1443,7 +1443,7 @@ class LatentBlend: RETURN_TYPES = ("LATENT",) FUNCTION = "blend" - CATEGORY = "_for_testing" + CATEGORY = "experimental" def blend(self, samples1, samples2, blend_factor:float, blend_mode: str="normal"): @@ -2142,7 +2142,7 @@ NODE_DISPLAY_NAME_MAPPINGS = { "ImageSharpen": "Sharpen Image", "ImageScaleToTotalPixels": "Scale Image to Total Pixels", "GetImageSize": "Get Image Size", - # _for_testing + # experimental "VAEDecodeTiled": "VAE Decode (Tiled)", "VAEEncodeTiled": "VAE Encode (Tiled)", } diff --git a/tests/execution/testing_nodes/testing-pack/api_test_nodes.py b/tests/execution/testing_nodes/testing-pack/api_test_nodes.py index b2eaae05e..70c2a9e95 100644 --- a/tests/execution/testing_nodes/testing-pack/api_test_nodes.py +++ b/tests/execution/testing_nodes/testing-pack/api_test_nodes.py @@ -21,7 +21,7 @@ class TestAsyncProgressUpdate(ComfyNodeABC): RETURN_TYPES = (IO.ANY,) FUNCTION = "execute" - CATEGORY = "_for_testing/async" + CATEGORY = "experimental/async" async def execute(self, value, sleep_seconds): start = time.time() @@ -51,7 +51,7 @@ class TestSyncProgressUpdate(ComfyNodeABC): RETURN_TYPES = (IO.ANY,) FUNCTION = "execute" - CATEGORY = "_for_testing/async" + CATEGORY = "experimental/async" def execute(self, value, sleep_seconds): start = time.time() diff --git a/tests/execution/testing_nodes/testing-pack/async_test_nodes.py b/tests/execution/testing_nodes/testing-pack/async_test_nodes.py index 547eea6f4..589dabf17 100644 --- a/tests/execution/testing_nodes/testing-pack/async_test_nodes.py +++ b/tests/execution/testing_nodes/testing-pack/async_test_nodes.py @@ -21,7 +21,7 @@ class TestAsyncValidation(ComfyNodeABC): RETURN_TYPES = ("IMAGE",) FUNCTION = "process" - CATEGORY = "_for_testing/async" + CATEGORY = "experimental/async" @classmethod async def VALIDATE_INPUTS(cls, value, threshold): @@ -53,7 +53,7 @@ class TestAsyncError(ComfyNodeABC): RETURN_TYPES = (IO.ANY,) FUNCTION = "error_execution" - CATEGORY = "_for_testing/async" + CATEGORY = "experimental/async" async def error_execution(self, value, error_after): await asyncio.sleep(error_after) @@ -74,7 +74,7 @@ class TestAsyncValidationError(ComfyNodeABC): RETURN_TYPES = ("IMAGE",) FUNCTION = "process" - CATEGORY = "_for_testing/async" + CATEGORY = "experimental/async" @classmethod async def VALIDATE_INPUTS(cls, value, max_value): @@ -105,7 +105,7 @@ class TestAsyncTimeout(ComfyNodeABC): RETURN_TYPES = (IO.ANY,) FUNCTION = "timeout_execution" - CATEGORY = "_for_testing/async" + CATEGORY = "experimental/async" async def timeout_execution(self, value, timeout, operation_time): try: @@ -129,7 +129,7 @@ class TestSyncError(ComfyNodeABC): RETURN_TYPES = (IO.ANY,) FUNCTION = "sync_error" - CATEGORY = "_for_testing/async" + CATEGORY = "experimental/async" def sync_error(self, value): raise RuntimeError("Intentional sync execution error for testing") @@ -150,7 +150,7 @@ class TestAsyncLazyCheck(ComfyNodeABC): RETURN_TYPES = ("IMAGE",) FUNCTION = "process" - CATEGORY = "_for_testing/async" + CATEGORY = "experimental/async" async def check_lazy_status(self, condition, input1, input2): # Simulate async checking (e.g., querying remote service) @@ -184,7 +184,7 @@ class TestDynamicAsyncGeneration(ComfyNodeABC): RETURN_TYPES = ("IMAGE",) FUNCTION = "generate_async_workflow" - CATEGORY = "_for_testing/async" + CATEGORY = "experimental/async" def generate_async_workflow(self, image1, image2, num_async_nodes, sleep_duration): g = GraphBuilder() @@ -229,7 +229,7 @@ class TestAsyncResourceUser(ComfyNodeABC): RETURN_TYPES = (IO.ANY,) FUNCTION = "use_resource" - CATEGORY = "_for_testing/async" + CATEGORY = "experimental/async" async def use_resource(self, value, resource_id, duration): # Check if resource is already in use @@ -265,7 +265,7 @@ class TestAsyncBatchProcessing(ComfyNodeABC): RETURN_TYPES = ("IMAGE",) FUNCTION = "process_batch" - CATEGORY = "_for_testing/async" + CATEGORY = "experimental/async" async def process_batch(self, images, process_time_per_item, unique_id): batch_size = images.shape[0] @@ -305,7 +305,7 @@ class TestAsyncConcurrentLimit(ComfyNodeABC): RETURN_TYPES = (IO.ANY,) FUNCTION = "limited_execution" - CATEGORY = "_for_testing/async" + CATEGORY = "experimental/async" async def limited_execution(self, value, duration, node_id): async with self._semaphore: diff --git a/tests/execution/testing_nodes/testing-pack/specific_tests.py b/tests/execution/testing_nodes/testing-pack/specific_tests.py index 4f8f01ae4..2eb5d520e 100644 --- a/tests/execution/testing_nodes/testing-pack/specific_tests.py +++ b/tests/execution/testing_nodes/testing-pack/specific_tests.py @@ -409,7 +409,7 @@ class TestSleep(ComfyNodeABC): RETURN_TYPES = (IO.ANY,) FUNCTION = "sleep" - CATEGORY = "_for_testing" + CATEGORY = "experimental" async def sleep(self, value, seconds, unique_id): pbar = ProgressBar(seconds, node_id=unique_id) @@ -440,7 +440,7 @@ class TestParallelSleep(ComfyNodeABC): } RETURN_TYPES = ("IMAGE",) FUNCTION = "parallel_sleep" - CATEGORY = "_for_testing" + CATEGORY = "experimental" OUTPUT_NODE = True def parallel_sleep(self, image1, image2, image3, sleep1, sleep2, sleep3, unique_id): @@ -474,7 +474,7 @@ class TestOutputNodeWithSocketOutput: } RETURN_TYPES = ("IMAGE",) FUNCTION = "process" - CATEGORY = "_for_testing" + CATEGORY = "experimental" OUTPUT_NODE = True def process(self, image, value):