+
+### Style Transfer Interface
+
+
+
+
diff --git a/example_workflows/hellomeme_style_workflow.jpg b/example_workflows/hellomeme_style_workflow.jpg new file mode 100644 index 0000000..b78f66a Binary files /dev/null and b/example_workflows/hellomeme_style_workflow.jpg differ diff --git a/example_workflows/image_style_transfer.json b/example_workflows/image_style_transfer.json index fd034f1..dc7cd63 100644 --- a/example_workflows/image_style_transfer.json +++ b/example_workflows/image_style_transfer.json @@ -1,47 +1,9 @@ { "id": "a8e8ebf3-8dc8-4d76-ad73-dfe0b945cc77", "revision": 0, - "last_node_id": 80, - "last_link_id": 190, + "last_node_id": 86, + "last_link_id": 205, "nodes": [ - { - "id": 2, - "type": "HMFaceToolkitsLoader", - "pos": [ - 45.41996383666992, - 769.9866333007812 - ], - "size": [ - 315, - 82 - ], - "flags": {}, - "order": 0, - "mode": 0, - "inputs": [], - "outputs": [ - { - "name": "face_toolkits", - "type": "FACE_TOOLKITS", - "slot_index": 0, - "links": [ - 122, - 129, - 147, - 149, - 173, - 174 - ] - } - ], - "properties": { - "Node name for S&R": "HMFaceToolkitsLoader" - }, - "widgets_values": [ - 0, - "huggingface" - ] - }, { "id": 61, "type": "GetFaceLandmarks", @@ -79,6 +41,8 @@ } ], "properties": { + "cnr_id": "comfyui_hellomeme", + "ver": "56e8052c9b449621b029226988b0ed7d2dc96b4c", "Node name for S&R": "GetFaceLandmarks" }, "widgets_values": [] @@ -120,6 +84,8 @@ } ], "properties": { + "cnr_id": "comfyui_hellomeme", + "ver": "56e8052c9b449621b029226988b0ed7d2dc96b4c", "Node name for S&R": "GetFaceLandmarks" }, "widgets_values": [] @@ -165,6 +131,8 @@ } ], "properties": { + "cnr_id": "comfyui_hellomeme", + "ver": "56e8052c9b449621b029226988b0ed7d2dc96b4c", "Node name for S&R": "GetHeadPose" }, "widgets_values": [ @@ -172,49 +140,46 @@ ] }, { - "id": 75, - "type": "GetExpression2", + "id": 2, + "type": "HMFaceToolkitsLoader", "pos": [ - 814.1359252929688, - 689.6795654296875 + 45.41996383666992, + 769.9866333007812 ], "size": [ - 191.63729858398438, - 66 + 315, + 82 ], "flags": {}, - "order": 6, + "order": 0, "mode": 0, - "inputs": [ + "inputs": [], + "outputs": [ { "name": "face_toolkits", "type": "FACE_TOOLKITS", - "link": 173 - }, - { - "name": "images", - "type": "IMAGE", - "link": 175 - }, - { - "name": "landmarks", - "type": "FACELANDMARKS222", - "link": 178 - } - ], - "outputs": [ - { - "name": "expression", - "type": "EXPRESSION", + "slot_index": 0, "links": [ - 184 + 122, + 129, + 147, + 149, + 173, + 174, + 193, + 194 ] } ], "properties": { - "Node name for S&R": "GetExpression2" + "cnr_id": "comfyui_hellomeme", + "ver": "56e8052c9b449621b029226988b0ed7d2dc96b4c", + "Node name for S&R": "HMFaceToolkitsLoader" }, - "widgets_values": [] + "widgets_values": [ + 0, + "huggingface" + ] }, { "id": 69, @@ -252,11 +217,14 @@ "name": "head_pose", "type": "HEAD_POSE", "links": [ - 185 + 185, + 202 ] } ], "properties": { + "cnr_id": "comfyui_hellomeme", + "ver": "56e8052c9b449621b029226988b0ed7d2dc96b4c", "Node name for S&R": "GetHeadPose" }, "widgets_values": [ @@ -299,53 +267,18 @@ "name": "expression", "type": "EXPRESSION", "links": [ - 186 + 186, + 203 ] } ], "properties": { + "cnr_id": "comfyui_hellomeme", + "ver": "56e8052c9b449621b029226988b0ed7d2dc96b4c", "Node name for S&R": "GetExpression2" }, "widgets_values": [] }, - { - "id": 78, - "type": "HMImagePipelineLoader", - "pos": [ - 797.7930297851562, - 188.84007263183594 - ], - "size": [ - 298.3472595214844, - 226 - ], - "flags": {}, - "order": 1, - "mode": 0, - "inputs": [], - "outputs": [ - { - "name": "hm_image_pipeline", - "type": "HMIMAGEPIPELINE", - "links": [ - 182 - ] - } - ], - "properties": { - "Node name for S&R": "HMImagePipelineLoader" - }, - "widgets_values": [ - "[preset]DisneyPixarCartoonB", - "[preset]BabyFaceV1", - "same as checkpoint", - "v5", - "x1", - "huggingface", - 1, - "fp32" - ] - }, { "id": 79, "type": "HMPipelineImage", @@ -392,7 +325,9 @@ "name": "IMAGE", "type": "IMAGE", "links": [ - 187 + 187, + 191, + 192 ] }, { @@ -402,6 +337,8 @@ } ], "properties": { + "cnr_id": "comfyui_hellomeme", + "ver": "56e8052c9b449621b029226988b0ed7d2dc96b4c", "Node name for S&R": "HMPipelineImage" }, "widgets_values": [ @@ -409,12 +346,279 @@ "", "", 25, - 485743939425196, + 778376016259914, "randomize", - 1.5, + 1.2000000000000002, 0 ] }, + { + "id": 80, + "type": "PreviewImage", + "pos": [ + 1706.34228515625, + 92.85418701171875 + ], + "size": [ + 426.67877197265625, + 454.14093017578125 + ], + "flags": {}, + "order": 10, + "mode": 0, + "inputs": [ + { + "name": "images", + "type": "IMAGE", + "link": 187 + } + ], + "outputs": [], + "properties": { + "cnr_id": "comfy-core", + "ver": "0.3.39", + "Node name for S&R": "PreviewImage" + }, + "widgets_values": [] + }, + { + "id": 81, + "type": "GetFaceLandmarks", + "pos": [ + 1656.5469970703125, + 756.1448364257812 + ], + "size": [ + 170.62362670898438, + 46 + ], + "flags": {}, + "order": 11, + "mode": 0, + "inputs": [ + { + "name": "face_toolkits", + "type": "FACE_TOOLKITS", + "link": 193 + }, + { + "name": "images", + "type": "IMAGE", + "link": 191 + } + ], + "outputs": [ + { + "name": "landmarks", + "type": "FACELANDMARKS222", + "links": [ + 195 + ] + } + ], + "properties": { + "cnr_id": "comfyui_hellomeme", + "ver": "56e8052c9b449621b029226988b0ed7d2dc96b4c", + "Node name for S&R": "GetFaceLandmarks" + } + }, + { + "id": 75, + "type": "GetExpression2", + "pos": [ + 814.1359252929688, + 689.6795654296875 + ], + "size": [ + 191.63729858398438, + 66 + ], + "flags": {}, + "order": 6, + "mode": 0, + "inputs": [ + { + "name": "face_toolkits", + "type": "FACE_TOOLKITS", + "link": 173 + }, + { + "name": "images", + "type": "IMAGE", + "link": 175 + }, + { + "name": "landmarks", + "type": "FACELANDMARKS222", + "link": 178 + } + ], + "outputs": [ + { + "name": "expression", + "type": "EXPRESSION", + "links": [ + 184, + 205 + ] + } + ], + "properties": { + "cnr_id": "comfyui_hellomeme", + "ver": "56e8052c9b449621b029226988b0ed7d2dc96b4c", + "Node name for S&R": "GetExpression2" + }, + "widgets_values": [] + }, + { + "id": 82, + "type": "GetHeadPose", + "pos": [ + 1887.2037353515625, + 718.1502075195312 + ], + "size": [ + 270, + 98 + ], + "flags": {}, + "order": 12, + "mode": 0, + "inputs": [ + { + "name": "face_toolkits", + "type": "FACE_TOOLKITS", + "link": 194 + }, + { + "name": "images", + "type": "IMAGE", + "link": 192 + }, + { + "name": "landmarks", + "type": "FACELANDMARKS222", + "link": 195 + } + ], + "outputs": [ + { + "name": "head_pose", + "type": "HEAD_POSE", + "links": [ + 200 + ] + } + ], + "properties": { + "cnr_id": "comfyui_hellomeme", + "ver": "56e8052c9b449621b029226988b0ed7d2dc96b4c", + "Node name for S&R": "GetHeadPose" + }, + "widgets_values": [ + false + ] + }, + { + "id": 85, + "type": "HMPipelineImage", + "pos": [ + 2279.40625, + 704.7041015625 + ], + "size": [ + 270, + 306 + ], + "flags": {}, + "order": 13, + "mode": 0, + "inputs": [ + { + "name": "hm_image_pipeline", + "type": "HMIMAGEPIPELINE", + "link": 199 + }, + { + "name": "ref_head_pose", + "type": "HEAD_POSE", + "link": 200 + }, + { + "name": "ref_expression", + "type": "EXPRESSION", + "link": 205 + }, + { + "name": "drive_head_pose", + "type": "HEAD_POSE", + "link": 202 + }, + { + "name": "drive_expression", + "type": "EXPRESSION", + "link": 203 + } + ], + "outputs": [ + { + "name": "IMAGE", + "type": "IMAGE", + "links": [ + 204 + ] + }, + { + "name": "LATENT", + "type": "LATENT", + "links": null + } + ], + "properties": { + "cnr_id": "comfyui_hellomeme", + "ver": "56e8052c9b449621b029226988b0ed7d2dc96b4c", + "Node name for S&R": "HMPipelineImage" + }, + "widgets_values": [ + 0, + "", + "", + 25, + 661833773290484, + "randomize", + 1.2000000000000002, + 0 + ] + }, + { + "id": 86, + "type": "PreviewImage", + "pos": [ + 2605.176025390625, + 703.9863891601562 + ], + "size": [ + 535.2344360351562, + 631.5162963867188 + ], + "flags": {}, + "order": 14, + "mode": 0, + "inputs": [ + { + "name": "images", + "type": "IMAGE", + "link": 204 + } + ], + "outputs": [], + "properties": { + "cnr_id": "comfy-core", + "ver": "0.3.39", + "Node name for S&R": "PreviewImage" + }, + "widgets_values": [] + }, { "id": 58, "type": "LoadImage", @@ -427,7 +631,7 @@ 314 ], "flags": {}, - "order": 2, + "order": 1, "mode": 0, "inputs": [], "outputs": [ @@ -451,39 +655,55 @@ } ], "properties": { + "cnr_id": "comfy-core", + "ver": "0.3.39", "Node name for S&R": "LoadImage" }, "widgets_values": [ - "chillout.jpg", + "hinton1.jpg", "image" ] }, { - "id": 80, - "type": "PreviewImage", + "id": 78, + "type": "HMImagePipelineLoader", "pos": [ - 1703.6793212890625, - 613.1461791992188 + 797.7930297851562, + 188.84007263183594 ], "size": [ - 210, - 258 + 298.3472595214844, + 226 ], "flags": {}, - "order": 10, + "order": 2, "mode": 0, - "inputs": [ + "inputs": [], + "outputs": [ { - "name": "images", - "type": "IMAGE", - "link": 187 + "name": "hm_image_pipeline", + "type": "HMIMAGEPIPELINE", + "links": [ + 182, + 199 + ] } ], - "outputs": [], "properties": { - "Node name for S&R": "PreviewImage" + "cnr_id": "comfyui_hellomeme", + "ver": "56e8052c9b449621b029226988b0ed7d2dc96b4c", + "Node name for S&R": "HMImagePipelineLoader" }, - "widgets_values": [] + "widgets_values": [ + "[preset]toonyou_beta6", + "[preset]Drawing", + "same as checkpoint", + "v5b", + "x1", + "huggingface", + 1, + "fp32" + ] } ], "links": [ @@ -662,6 +882,94 @@ 76, 1, "IMAGE" + ], + [ + 191, + 79, + 0, + 81, + 1, + "IMAGE" + ], + [ + 192, + 79, + 0, + 82, + 1, + "IMAGE" + ], + [ + 193, + 2, + 0, + 81, + 0, + "FACE_TOOLKITS" + ], + [ + 194, + 2, + 0, + 82, + 0, + "FACE_TOOLKITS" + ], + [ + 195, + 81, + 0, + 82, + 2, + "FACELANDMARKS222" + ], + [ + 199, + 78, + 0, + 85, + 0, + "HMIMAGEPIPELINE" + ], + [ + 200, + 82, + 0, + 85, + 1, + "HEAD_POSE" + ], + [ + 202, + 69, + 0, + 85, + 3, + "HEAD_POSE" + ], + [ + 203, + 76, + 0, + 85, + 4, + "EXPRESSION" + ], + [ + 204, + 85, + 0, + 86, + 0, + "IMAGE" + ], + [ + 205, + 75, + 0, + 85, + 2, + "EXPRESSION" ] ], "groups": [], @@ -670,8 +978,8 @@ "ds": { "scale": 0.8264462809917358, "offset": [ - 496.5037384564152, - -71.873413496035 + 148.58950276642736, + 102.78195962059476 ] }, "frontendVersion": "1.19.2" diff --git a/hellomeme/model_config.json b/hellomeme/model_config.json index eab5288..8d4c029 100644 --- a/hellomeme/model_config.json +++ b/hellomeme/model_config.json @@ -22,5 +22,6 @@ "[preset]Drawing": ["songkey/loras_sd_1_5", "Drawing.safetensors"] } }, - "prompt": "(best quality), highly detailed, ultra-detailed, headshot, person, well-placed five sense organs, looking at the viewer, centered composition, sharp focus, realistic skin texture" + "prompt": "(best quality), highly detailed, ultra-detailed, headshot, person, well-placed five sense organs, looking at the viewer, centered composition, sharp focus, realistic skin texture", + "prompt_new": "best quality, highly detailed, masterpiece, person, portrait, headshot, looking at the viewer, sharp focus." } \ No newline at end of file diff --git a/hellomeme/models/__init__.py b/hellomeme/models/__init__.py index 205c5db..d8ff758 100644 --- a/hellomeme/models/__init__.py +++ b/hellomeme/models/__init__.py @@ -12,7 +12,7 @@ from .hm_denoising_motion import HMDenoisingMotion from .hm_control import (HMControlNet, HMControlNet2, HMV2ControlNet, HMV2ControlNet2, HMV3ControlNet, HMControlNetBase, HM5ControlNetBase, HM4SD15ControlProj, HM5SD15ControlProj) -from .hm_adapters import (HMReferenceAdapter, HM3ReferenceAdapter, HM5ReferenceAdapter, +from .hm_adapters import (HMReferenceAdapter, HM3ReferenceAdapter, HM5ReferenceAdapter, HM5bReferenceAdapter, HM3MotionAdapter, HM5MotionAdapter, HMPipeline) from .hm_denoising_3d import HMDenoising3D from .hm3_denoising_3d import HM3Denoising3D diff --git a/hellomeme/models/hm_adapters.py b/hellomeme/models/hm_adapters.py index af6fce2..f971ed2 100644 --- a/hellomeme/models/hm_adapters.py +++ b/hellomeme/models/hm_adapters.py @@ -41,6 +41,7 @@ from diffusers.models.lora import adjust_lora_scale_text_encoder from .hm_blocks import (SKReferenceAttentionV3, SKReferenceAttentionV5, + STKReferenceModule, SKReferenceAttention, SKMotionModule, SKMotionModuleV5) @@ -136,6 +137,24 @@ class HM3ReferenceAdapter(ModelMixin, ConfigMixin): ) +class HM5bReferenceAdapter(ModelMixin, ConfigMixin): + @register_to_config + def __init__(self, block_down_channels: Tuple[int] = (320, 640, 1280, 1280), + block_up_channels: Tuple[int] = (1280, 1280, 1280, 640), + num_attention_heads: int = 8, + use_3d: bool = False): + super().__init__() + + self.reference_modules_up = nn.ModuleList([]) + for i, in_channels in enumerate(block_up_channels): + self.reference_modules_up.append( + STKReferenceModule( + in_channels=in_channels, + num_attention_heads=num_attention_heads, + ) + ) + + class HM5ReferenceAdapter(ModelMixin, ConfigMixin): @register_to_config def __init__(self, block_down_channels: Tuple[int] = (320, 640, 1280, 1280), diff --git a/hellomeme/models/hm_blocks.py b/hellomeme/models/hm_blocks.py index 99085e9..c3fa482 100644 --- a/hellomeme/models/hm_blocks.py +++ b/hellomeme/models/hm_blocks.py @@ -191,6 +191,38 @@ class SKReferenceAttentionV5(nn.Module): return hidden_states + self.proj(res2.contiguous()) +class STKReferenceModule(nn.Module): + def __init__( + self, + in_channels: int, + num_attention_heads: int = 1, + norm_elementwise_affine: bool = True, + norm_eps: float = 1e-5, + ): + super().__init__() + self.attn_ref = STKAttentionV5(in_channels=in_channels, + mid_channels=in_channels, + num_attention_heads=num_attention_heads, + time_embed_dim=None, + norm_elementwise_affine=norm_elementwise_affine, + norm_eps=norm_eps, + temporal_attn=False,) + self.attn = STKAttentionV5(in_channels=in_channels, + mid_channels=in_channels, + num_attention_heads=num_attention_heads, + time_embed_dim=None, + norm_elementwise_affine=norm_elementwise_affine, + norm_eps=norm_eps, + temporal_attn=False,) + def forward(self, hidden_states, ref_stats, num_frames): + if ref_stats.shape[0] != hidden_states.shape[0]: + ref_stats = ref_stats.repeat_interleave(num_frames, dim=0) + hidden_states = rearrange(hidden_states, "(b f) c h w -> b f h w c", f=num_frames) + ref_stats = rearrange(ref_stats, "(b f) c h w -> b f h w c", f=num_frames) + ref_stats = self.attn_ref(ref_stats, residual=False) + hidden_states = self.attn(hidden_states, ref_stats, residual=True) + hidden_states = rearrange(hidden_states, "b f h w c -> (b f) c h w") + return hidden_states class SmallUnet(nn.Module): def __init__(self, in_channels: int = 3, @@ -380,7 +412,7 @@ class STKAttentionV5(nn.Module): self.norm = nn.LayerNorm(mid_channels, elementwise_affine=norm_elementwise_affine, eps=norm_eps) self.proj = zero_module(nn.Conv2d(mid_channels, in_channels, kernel_size=3, padding=1)) - def forward(self, hidden_states, ref_stats=None, emb=None): + def forward(self, hidden_states, ref_stats=None, emb=None, residual=True): b, f, h, w, _ = hidden_states.shape hidden_states_in = rearrange(hidden_states, "b f h w c -> (b f) c h w") @@ -433,7 +465,9 @@ class STKAttentionV5(nn.Module): else: rest = rearrange(resy, "b f h w c -> (b f) c h w") - return hidden_states + rearrange(self.proj(rest), "(b f) c h w -> b f h w c", f=f) + rest = rearrange(self.proj(rest), "(b f) c h w -> b f h w c", f=f) + + return hidden_states + rest if residual else rest class STKCrossAttentionV5(nn.Module): def __init__( diff --git a/hellomeme/pipelines/pipline_hm5_image.py b/hellomeme/pipelines/pipline_hm5_image.py index 0e7d909..880baae 100644 --- a/hellomeme/pipelines/pipline_hm5_image.py +++ b/hellomeme/pipelines/pipline_hm5_image.py @@ -20,10 +20,8 @@ from diffusers.utils.torch_utils import randn_tensor from diffusers.pipelines.stable_diffusion.pipeline_output import StableDiffusionPipelineOutput from diffusers import DPMSolverMultistepScheduler from diffusers.pipelines.stable_diffusion.pipeline_stable_diffusion_img2img import retrieve_timesteps, retrieve_latents -from ..models import (HM3Denoising3D, - HMPipeline, HM5ReferenceAdapter, - HM5ControlNetBase, - HM5SD15ControlProj) +from ..models import (HM3Denoising3D, HMPipeline, HM5ReferenceAdapter, + HM5bReferenceAdapter, HM5ControlNetBase, HM5SD15ControlProj) class HM5ImagePipeline(HMPipeline): def caryomitosis(self, **kwargs): @@ -46,20 +44,28 @@ class HM5ImagePipeline(HMPipeline): self.safety_checker.cpu() def insert_hm_modules(self, version='v5', dtype=torch.float16, modelscope=False): - self.version = version if modelscope: from modelscope import snapshot_download - hm_reference_dir = snapshot_download('songkey/hm5_reference') + if version == 'v5b': + hm_reference_dir = snapshot_download('songkey/hm5b_reference') + else: + hm_reference_dir = snapshot_download('songkey/hm5_reference') hm_control_dir = snapshot_download('songkey/hm5_control_base') hm_control_proj_dir = snapshot_download('songkey/hm5_control_proj') else: - hm_reference_dir = 'songkey/hm5_reference' + if version == 'v5b': + hm_reference_dir = 'songkey/hm5b_reference' + else: + hm_reference_dir = 'songkey/hm5_reference' hm_control_dir = 'songkey/hm5_control_base' hm_control_proj_dir = 'songkey/hm5_control_proj' if isinstance(self.unet, HM3Denoising3D): - hm_adapter = HM5ReferenceAdapter.from_pretrained(hm_reference_dir) + if version == 'v5b': + hm_adapter = HM5bReferenceAdapter.from_pretrained(hm_reference_dir) + else: + hm_adapter = HM5ReferenceAdapter.from_pretrained(hm_reference_dir) self.unet.insert_reference_adapter(hm_adapter) self.unet.to(device='cpu', dtype=dtype).eval() diff --git a/hellomeme/pipelines/pipline_hm_image.py b/hellomeme/pipelines/pipline_hm_image.py index 146c38f..6143da9 100644 --- a/hellomeme/pipelines/pipline_hm_image.py +++ b/hellomeme/pipelines/pipline_hm_image.py @@ -45,6 +45,7 @@ class HMImagePipeline(HMPipeline): self.safety_checker.cpu() def insert_hm_modules(self, version, dtype, modelscope=False): + self.version = version if modelscope: from modelscope import snapshot_download hm_reference_dir = snapshot_download('songkey/hm_reference') diff --git a/meme.py b/meme.py index 7ba1516..020a2cd 100644 --- a/meme.py +++ b/meme.py @@ -59,6 +59,7 @@ with open(config_path, 'r') as f: MODEL_CONFIG = json.load(f) DEFAULT_PROMPT = MODEL_CONFIG['prompt'] +DEFAULT_PROMPT_NEW = MODEL_CONFIG['prompt_new'] def get_models_files(): checkpoint_files = folder_paths.get_filename_list("checkpoints") @@ -123,7 +124,7 @@ class HMImagePipelineLoader: "checkpoint": (checkpoint_files, ), "lora": (lora_files, ), "vae": (vae_files, ), - "version": (['v5', 'v4', 'v3', 'v2', 'v1'], ), + "version": (['v5b', 'v5', 'v4', 'v3', 'v2', 'v1'], ), "stylize": (['x1', 'x2'], ), "deployment": (['huggingface', 'modelscope'], ), "lora_scale": ("FLOAT", {"default": 1.0, "min": 0.0, "max": 10.0, "step": 0.1}), @@ -144,7 +145,7 @@ class HMImagePipelineLoader: sd1_5_dir = "songkey/stable-diffusion-v1-5" if version == 'v3' or version == 'v4': pipeline = HM3ImagePipeline.from_pretrained(sd1_5_dir) - elif version == 'v5': + elif version == 'v5' or version == 'v5b': pipeline = HM5ImagePipeline.from_pretrained(sd1_5_dir) else: pipeline = HMImagePipeline.from_pretrained(sd1_5_dir) @@ -360,7 +361,8 @@ class HMPipelineImage: device = get_torch_device(gpu_id) dtype = hm_image_pipeline.dtype - prompt = DEFAULT_PROMPT if prompt == '' else prompt + ", " + DEFAULT_PROMPT + PROMPT = DEFAULT_PROMPT_NEW if hm_image_pipeline.version == 'v5b' else DEFAULT_PROMPT + prompt = PROMPT if prompt == '' else prompt + ", " + PROMPT image_np = cv2.cvtColor(ref_head_pose['frame'][0], cv2.COLOR_BGR2RGB) image_pil = Image.fromarray(image_np) diff --git a/pyproject.toml b/pyproject.toml index ba75e64..4d72963 100644 --- a/pyproject.toml +++ b/pyproject.toml @@ -1,7 +1,7 @@ [project] name = "comfyui_hellomeme" description = "This repository is the official implementation of the [a/HelloMeme](https://arxiv.org/pdf/2410.22901) ComfyUI interface" -version = "1.3.12" +version = "1.3.13" license = {file = "LICENSE"} [project.urls]