资源亮点：
1. 最新版本的ComfyUI V8.5，提供中文界面，操作便捷。
2. 兼容多种显卡，包括50、40、30系，满足不同用户的需求。
适用场景：
- 适用于需要进行3D渲染和动画制作的专业人士。
- 适合游戏玩家，提升游戏画面效果。
- 适用于需要进行视频编辑和特效制作的用户。
下载说明：
请前往官方渠道或信任的第三方平台下载，确保资源安全。
📂 资源目录
📁 ComfyuiV8
ComfyUI_Mie_2026_V8.0_Base.7z [69.0 GB]
📁 秋叶ComfyUI-V3
ComfyUI-aki-v3.rar [2.7 GB]
依赖.exe [55.3 MB]
📁 SD comfyui解压即用
启动器运行依赖-dotnet-6.0.11.exe [54.6 MB]
SD ComfyUI.zip [62.0 GB]
📁 ComfyUI202505官方最新版（含56个模板）
📁 ComfyUI分卷压缩
ComfyUI_JM_windows_portable.7z.004 [50.0 GB]
ComfyUI_JM_windows_portable.7z.003 [50.0 GB]
ComfyUI_JM_windows_portable.7z.001 [50.0 GB]
ComfyUI_JM_windows_portable.7z.008 [50.0 GB]
ComfyUI_JM_windows_portable.7z.002 [50.0 GB]
ComfyUI_JM_windows_portable.7z.005 [50.0 GB]
ComfyUI_JM_windows_portable.7z.007 [50.0 GB]
ComfyUI_JM_windows_portable.7z.009 [21.2 GB]
ComfyUI_JM_windows_portable.7z.006 [50.0 GB]
使用教程_很重要.txt [3.0 KB]
📁 ComfyUI整合包_V6.0
📁 常用工具
Git-2.47.1-64-bit.exe [65.9 MB]
MSVBCRT.AIO.2024.11.06.zip [66.5 MB]
📁 ComfyUI_V6.0
ComfyUI_Mie_V6.0.zip [71.2 GB]
📁 ComfyUI.v7
📁 模型文件
📁 vae_approx
put_taesd_encoder_pth_and_taesd_decoder_pth_here
taesd_decoder.pth [4.7 MB]
put_taesd_encoder_pth_and_taesd_decoder_pth_here(1)
taesd_decoder(1).pth [4.7 MB]
taesdxl_decoder.pth [4.7 MB]
taesd_encoder(1).pth [4.7 MB]
taesdxl_encoder(1).pth [4.7 MB]
taesd_encoder.pth [4.7 MB]
taesdxl_encoder.pth [4.7 MB]
taesdxl_decoder(1).pth [4.7 MB]
📁 sam2
📁 .cache
📁 huggingface
📁 download
📁 .huggingface
📁 download
📁 clip
📁 Flux
t5xxl_fp16.safetensors [9.1 GB]
t5xxl_fp8_e4m3fn.safetensors [4.6 GB]
clip_l.safetensors [234.7 MB]
📁 hunyuan_clip
put_clip_or_text_encoder_models_here
HunyuanDiT_v1.2_t2i_clip_text_encoder.bin [3.7 GB]
HunyuanDiT_v1.2_t2i_clip_text_encoder_fp16_pruned.bin [669.6 MB]
put_clip_or_text_encoder_models_here
stable-diffusion-2-1-clip.safetensors [1.3 GB]
PowerPaint_CLIP.safetensors [469.5 MB]
📁 BiRefNet
pvt_v2_b2.pth [96.8 MB]
.gitattributes [1.5 KB]
pvt_v2_b5.pth [312.8 MB]
BiRefNet-DIS_ep580.pth [809.6 MB]
swin_base_patch4_window12_384_22kto1k.pth [348.4 MB]
README.md [252.0 B]
BiRefNet-ep480.pth [809.6 MB]
swin_large_patch4_window12_384_22kto1k.pth [763.6 MB]
📁 LLM
📁 Florence-2-base
📁 .huggingface
📁 download
.gitattributes.metadata [104.0 B]
tokenizer.json.metadata [103.0 B]
SECURITY.md.metadata [104.0 B]
README.md.metadata [104.0 B]
pytorch_model.bin.metadata [128.0 B]
LICENSE.metadata [104.0 B]
tokenizer_config.json.metadata [104.0 B]
CODE_OF_CONDUCT.md.metadata [104.0 B]
config.json.metadata [103.0 B]
modeling_florence2.py.metadata [104.0 B]
processing_florence2.py.metadata [104.0 B]
vocab.json.metadata [104.0 B]
SUPPORT.md.metadata [104.0 B]
configuration_florence2.py.metadata [104.0 B]
preprocessor_config.json.metadata [104.0 B]
.gitignore [1.0 B]
SUPPORT.md [1.2 KB]
config.json [2.4 KB]
LICENSE [1.1 KB]
configuration_florence2.py [14.8 KB]
preprocessor_config.json [806.0 B]
tokenizer.json [1.3 MB]
processing_florence2.py [45.3 KB]
SECURITY.md [2.6 KB]
modeling_florence2.py [124.2 KB]
pytorch_model.bin [442.9 MB]
README.md [14.0 KB]
vocab.json [1.0 MB]
.gitattributes [1.5 KB]
CODE_OF_CONDUCT.md [444.0 B]
tokenizer_config.json [34.0 B]
📁 checkpoints
chatglm3-fp16.safetensors [11.6 GB]
chatglm3-8bit.safetensors [6.3 GB]
chatglm3-4bit.safetensors [3.7 GB]
📁 Florence-2-large
📁 .cache
📁 huggingface
📁 download
📁 Florence-2-large-ft
📁 .huggingface
📁 download
📁 GPTcheckpoints
📁 moondream
📁 llava
📁 models
📁 clips
📁 joytag
📁 upscale_models
📁 face upscale model
4x-Faces-04-N.pth [63.9 MB]
4xFaceUpSharpLDAT.pth [147.5 MB]
4x-ClearRealityV1_Soft.pth [8.6 MB]
4x-Face-Ality-V1.pth [63.9 MB]
4x-ClearRealityV1.pth [8.6 MB]
4xFaceUpDAT.pth [147.5 MB]
4xFFHQDAT.pth [147.5 MB]
4xFaceUpLDAT.pth [147.5 MB]
4x_face_focus_275k.pth [63.9 MB]
4xFaceUpSharpDAT.pth [147.5 MB]
OmniSR_X2_DIV2K.safetensors [1.6 MB]
OmniSR_X3_DIV2K.safetensors [1.6 MB]
4x_NMKD-Superscale-SP_178000_G.pth [63.9 MB]
put_esrgan_and_other_upscale_models_here
OmniSR_X4_DIV2K.safetensors [1.6 MB]
4x_RealisticRescaler_100000_G.pth [127.8 MB]
📁 facedetection
detection_Resnet50_Final.pth [104.4 MB]
shape_predictor_68_face_landmarks.dat [95.1 MB]
parsing_parsenet.pth [81.4 MB]
📁 diffusers
📁 Kolors
📁 vae
config.json [611.0 B]
diffusion_pytorch_model.fp16.safetensors [159.6 MB]
📁 .huggingface
📁 download
📁 tokenizer
vocab.txt.metadata [128.0 B]
tokenization_chatglm.py.metadata [104.0 B]
tokenizer.model.metadata [128.0 B]
tokenizer_config.json.metadata [104.0 B]
📁 unet
diffusion_pytorch_model.fp16.safetensors.metadata [127.0 B]
config.json.metadata [103.0 B]
📁 vae
diffusion_pytorch_model.fp16.safetensors.metadata [127.0 B]
config.json.metadata [102.0 B]
📁 text_encoder
📁 __pycache__
configuration_chatglm.cpython-38.pyc.metadata [104.0 B]
modeling_chatglm.cpython-38.pyc.metadata [104.0 B]
modeling_chatglm.cpython-39.pyc.metadata [104.0 B]
tokenization_chatglm.cpython-38.pyc.metadata [104.0 B]
tokenization_chatglm.cpython-39.pyc.metadata [103.0 B]
configuration_chatglm.cpython-311.pyc.metadata [103.0 B]
configuration_chatglm.cpython-39.pyc.metadata [103.0 B]
configuration_chatglm.cpython-37.pyc.metadata [104.0 B]
tokenizer_config.json.metadata [102.0 B]
vocab.txt.metadata [128.0 B]
pytorch_model-00003-of-00007.bin.metadata [128.0 B]
config.json.metadata [104.0 B]
quantization.py.metadata [104.0 B]
pytorch_model-00001-of-00007.bin.metadata [128.0 B]
pytorch_model-00005-of-00007.bin.metadata [128.0 B]
configuration_chatglm.py.metadata [103.0 B]
modeling_chatglm.py.metadata [104.0 B]
pytorch_model.bin.index.json.metadata [103.0 B]
pytorch_model-00006-of-00007.bin.metadata [128.0 B]
tokenizer.model.metadata [128.0 B]
pytorch_model-00007-of-00007.bin.b7cdaa9b8ed183284905c49d19bf42360037fdf2f95acb3093039d3c3a459261.incomplete [860.0 MB]
tokenization_chatglm.py.metadata [103.0 B]
pytorch_model-00002-of-00007.bin.metadata [127.0 B]
pytorch_model-00004-of-00007.bin.metadata [128.0 B]
📁 scheduler
scheduler_config.json.metadata [104.0 B]
model_index.json.metadata [104.0 B]
.gitignore [1.0 B]
📁 unet
diffusion_pytorch_model.fp16.safetensors [4.8 GB]
config.json [1.7 KB]
📁 text_encoder
configuration_chatglm.py [2.3 KB]
pytorch_model-00002-of-00007.bin [1.8 GB]
pytorch_model-00006-of-00007.bin [1.8 GB]
pytorch_model.bin.index.json [20.0 KB]
tokenizer_config.json [249.0 B]
pytorch_model-00003-of-00007.bin [1.8 GB]
vocab.txt [994.5 KB]
config.json [1.3 KB]
pytorch_model-00001-of-00007.bin [1.7 GB]
pytorch_model-00004-of-00007.bin [1.7 GB]
pytorch_model-00007-of-00007.bin [1004.0 MB]
quantization.py [14.3 KB]
pytorch_model-00005-of-00007.bin [1.8 GB]
modeling_chatglm.py [54.4 KB]
tokenization_chatglm.py [11.9 KB]
tokenizer.model [994.5 KB]
📁 tokenizer
tokenizer.model [994.5 KB]
vocab.txt [994.5 KB]
tokenization_chatglm.py [11.9 KB]
tokenizer_config.json [249.0 B]
📁 scheduler
scheduler_config.json [606.0 B]
model_index.json [427.0 B]
put_diffusers_models_here
📁 ultraedit
📁 tokenizer_2
tokenizer_config.json [894.0 B]
merges.txt [560.1 KB]
vocab.json [1.1 MB]
special_tokens_map.json [606.0 B]
📁 transformer
config.json [464.0 B]
diffusion_pytorch_model.safetensors [7.8 GB]
📁 text_encoder_3
model-00002-of-00004.safetensors [4.7 GB]
model-00003-of-00004.safetensors [4.5 GB]
model-00004-of-00004.safetensors [3.9 GB]
config.json [869.0 B]
model-00001-of-00004.safetensors [4.6 GB]
model.safetensors.index.json [19.6 KB]
📁 text_encoder
config.json [694.0 B]
model.safetensors [471.7 MB]
📁 tokenizer
merges.txt [560.1 KB]
vocab.json [1.1 MB]
special_tokens_map.json [618.0 B]
tokenizer_config.json [735.0 B]
📁 tokenizer_3
tokenizer.json [2.4 MB]
tokenizer_config.json [21.1 KB]
special_tokens_map.json [2.6 KB]
spiece.model [773.1 KB]
📁 scheduler
scheduler_config.json [147.0 B]
📁 text_encoder_2
config.json [692.0 B]
model.safetensors [2.6 GB]
📁 vae
diffusion_pytorch_model.safetensors [319.8 MB]
config.json [862.0 B]
README.md [6.3 KB]
model_index.json [844.0 B]
.gitattributes [1.5 KB]
📁 clip_seg
📁 kijai
📁 clipseg-rd64-refined-fp16
📁 .huggingface
📁 download
README.md.metadata [104.0 B]
model.safetensors.metadata [128.0 B]
vocab.json.metadata [104.0 B]
.gitattributes.metadata [104.0 B]
preprocessor_config.json.metadata [104.0 B]
merges.txt.metadata [104.0 B]
tokenizer_config.json.metadata [103.0 B]
special_tokens_map.json.metadata [104.0 B]
config.json.metadata [104.0 B]
.gitignore [1.0 B]
model.safetensors [287.6 MB]
vocab.json [1.0 MB]
README.md [31.0 B]
config.json [4.6 KB]
merges.txt [512.3 KB]
.gitattributes [1.5 KB]
special_tokens_map.json [472.0 B]
preprocessor_config.json [380.0 B]
tokenizer_config.json [974.0 B]
📁 CIDAS
📁 clipseg-rd64-refined
📁 .huggingface
📁 download
pytorch_model.bin.metadata [128.0 B]
special_tokens_map.json.metadata [104.0 B]
config.json(1).metadata [104.0 B]
vocab.json.metadata [103.0 B]
.gitattributes(1).metadata [104.0 B]
preprocessor_config.json.metadata [103.0 B]
config.json.metadata [104.0 B]
merges.txt.metadata [104.0 B]
README.md.metadata [104.0 B]
tokenizer_config.json.metadata [104.0 B]
.gitattributes.metadata [104.0 B]
.gitignore [1.0 B]
.gitignore(1) [1.0 B]
preprocessor_config.json [380.0 B]
merges.txt [512.3 KB]
tokenizer_config.json [974.0 B]
vocab.json [1.0 MB]
config.json [4.6 KB]
README.md [596.0 B]
pytorch_model.bin [575.2 MB]
.gitattributes [1.4 KB]
special_tokens_map.json [472.0 B]
📁 clipseg-rd64-refined
.gitattributes [1.4 KB]
📁 ella
📁 clip_interrogator
ViT-L-14_openai_negative.safetensors [61.7 KB]
ViT-L-14.pt [889.6 MB]
ViT-L-14_openai_flavors.safetensors [147.9 MB]
ViT-L-14_openai_artists.safetensors [15.4 MB]
ViT-L-14_openai_trendings.safetensors [108.2 KB]
ViT-L-14_openai_movements.safetensors [300.2 KB]
ViT-L-14_openai_mediums.safetensors [142.7 KB]
📁 lama
big-lama.pt [196.1 MB]
📁 checkpoints
📁 upscale
SUPIR-v0Q.ckpt [5.0 GB]
SUPIR-v0F.ckpt [5.0 GB]
📁 Hunyuan
pytorch_model_module_fp16_pruned.pt [2.8 GB]
pytorch_model_distill.pt [5.6 GB]
samaritan3dCartoon_v40SDXL.safetensors [6.5 GB]
sd3_medium_incl_clips_t5xxlfp16.safetensors [14.7 GB]
sdxlYamersAnime_stageAnima.safetensors [6.5 GB]
dreamshaperXL_lightningDPMSDE.safetensors [6.5 GB]
Juggernaut_X_RunDiffusion_Hyper.safetensors [6.6 GB]
real-world_ccsr.ckpt [6.8 GB]
put_checkpoints_here
dreamshaper_8.safetensors [2.0 GB]
ponyRealism_v21MainVAE.safetensors [6.6 GB]
epicphotogasm_xPhotoreal.safetensors [2.0 GB]
tooncrafter_512_interp-fp16.safetensors [4.9 GB]
dreamDiffusionSD3_sd3Likeness.safetensors [6.5 GB]
realvisxlV40_v40Bakedvae.safetensors [6.5 GB]
📁 controlnet
📁 instantID
diffusion_pytorch_model.safetensors [2.3 GB]
control_v11p_sd15_lineart.pth [1.3 GB]
control_v11p_sd15_openpose.yaml [1.9 KB]
control_v11p_sd15_scribble.pth [1.3 GB]
control_v11p_sd15_canny.pth [1.3 GB]
control_v11p_sd15_lineart.yaml [1.9 KB]
control_v11f1e_sd15_tile.yaml [1.9 KB]
control_v11p_sd15_openpose.pth [1.3 GB]
put_controlnets_and_t2i_here
diffusion_pytorch_model.bin [4.7 GB]
sai_xl_depth_256lora.safetensors [738.5 MB]
sai_xl_recolor_256lora.safetensors [738.5 MB]
control_v11p_sd15_inpaint.pth [1.3 GB]
control_lora_rank128_v11f1e_sd15_tile_fp16.safetensors [129.4 MB]
SDXL_CN_TILE.safetensors [738.5 MB]
control_v11f1p_sd15_depth.yaml [1.9 KB]
FLUX.1-dev-ControlNet-Union-Pro.safetensors [6.2 GB]
control_v11p_sd15_canny.yaml [1.9 KB]
OpenPoseXL2.safetensors [4.7 GB]
control_v11f1p_sd15_depth.pth [1.3 GB]
control_v11p_sd15_inpaint.yaml [1.9 KB]
TTPLANET_Controlnet_Tile_realistic_v1_fp16.safetensors [2.3 GB]
controlnet-canny-sdxl-1.0.safetensors [2.3 GB]
control_v11f1e_sd15_tile.pth [1.3 GB]
SDXL-union.safetensors [2.3 GB]
control_v11p_sd15_inpaint_fp16.safetensors [689.1 MB]
control-lora-openposeXL2-rank256.safetensors [738.5 MB]
SD3_tile.safetensors [1.1 GB]
control_v11p_sd15_scribble.yaml [1.9 KB]
📁 style_models
put_t2i_style_model_here
📁 diffbir
general_swinir_v1.ckpt [86.0 MB]
BSRNet.pth [63.9 MB]
scunet_color_real_psnr.pth [68.6 MB]
v2-1_512-ema-pruned.ckpt [4.9 GB]
v2.pth [1.4 GB]
face_swinir_v1.ckpt [86.0 MB]
📁 layer_model
layer_xl_bg2ble.safetensors [669.5 MB]
layer_xl_bgble2fg.safetensors [3.4 GB]
layer_sd15_bg2fg.safetensors [536.9 MB]
layer_xl_fg2ble.safetensors [669.5 MB]
layer_xl_fgble2bg.safetensors [669.5 MB]
layer_xl_transparent_attn.safetensors [708.9 MB]
layer_sd15_joint.safetensors [528.7 MB]
layer_xl_transparent_conv.safetensors [3.4 GB]
vae_transparent_decoder.safetensors [198.6 MB]
layer_sd15_vae_transparent_decoder.safetensors [198.6 MB]
layer_sd15_fg2bg.safetensors [536.9 MB]
📁 clip_vision
📁 SD1.5
model.safetensors [2.4 GB]
CLIP-ViT-H-fp16.safetensors [1.2 GB]
kolors_clip_version.bin [1.6 GB]
CLIP-ViT-H-14-laion2B-s32B-b79K.safetensors [2.4 GB]
put_clip_vision_models_here
pytorch_model.bin [1.1 GB]
CLIP-ViT-bigG-14-laion2B-39B-b160k.safetensors [3.4 GB]
📁 sams
sam_vit_l_0b3195.pth [1.2 GB]
sam_hq_vit_b.pth [361.8 MB]
sam_vit_b_01ec64.pth [357.7 MB]
sam_hq_vit_h.pth [2.4 GB]
sam_hq_vit_l.pth [1.2 GB]
mobile_sam.pt [144.2 KB]
sam_vit_h_4b8939.pth [2.4 GB]
📁 pulid
ip-adapter_pulid_sdxl_fp16.safetensors [754.7 MB]
📁 instantID
ip-adapter.bin [1.6 GB]
📁 loras
📁 lora
smiling.pt [8.7 MB]
add-detail-xl.safetensors [217.9 MB]
lora_brutalism_3000_lora_f32.safetensors [468.7 MB]
LCM_LoRA_Weights_SDXL.safetensors [375.6 MB]
add_detail.safetensors [36.1 MB]
3DMM_V12.safetensors [36.1 MB]
ip-adapter-faceid-plusv2_sd15_lora.safetensors [48.7 MB]
lcm-lora-sdxl.safetensors [375.6 MB]
cammy_white.safetensors [36.1 MB]
PAseer-SD15-LCM Quick.safetensors [2.1 MB]
ip-adapter-faceid-plusv2_sdxl_lora.safetensors [354.6 MB]
ip-adapter-faceid_sdxl_lora.safetensors [354.6 MB]
[LoRA] Jellyfish forest 水月森 くらげもり Concept (With dropout & noise version).safetensors [144.1 MB]
put_loras_here
Concept - Pyromancer.safetensors [108.1 MB]
ip-adapter-faceid_sd15_lora.safetensors [48.7 MB]
lcm-lora-sdv1-5.safetensors [128.4 MB]
Violet Evergarden京紫风格.safetensors [36.1 MB]
📁 temp
📁 text_encoder
📁 .huggingface
📁 download
📁 text_encoder
model.safetensors.metadata [128.0 B]
.gitignore [1.0 B]
📁 insightface
📁 models
📁 buffalo_l
det_10g.onnx [16.1 MB]
w600k_r50.onnx [166.3 MB]
1k3d68.onnx [137.0 MB]
genderage.onnx [1.3 MB]
2d106det.onnx [4.8 MB]
📁 antelopev2
1k3d68.onnx [137.0 MB]
scrfd_10g_bnkps.onnx [16.1 MB]
genderage.onnx [1.3 MB]
2d106det.onnx [4.8 MB]
glintr100.onnx [248.6 MB]
inswapper_128.onnx [528.6 MB]
📁 mimicmotion
📁 .huggingface
📁 download
MimicMotion-fp16.safetensors.metadata [127.0 B]
.gitignore [1.0 B]
MimicMotion-fp16.safetensors [2.8 GB]
📁 configs
anything_v3.yaml [2.0 KB]
v2-inference_fp32.yaml [1.8 KB]
v2-inference.yaml [1.8 KB]
v1-inference_fp16.yaml [1.9 KB]
v2-inference-v_fp32.yaml [1.8 KB]
v2-inference-v.yaml [1.8 KB]
v1-inference.yaml [1.9 KB]
v1-inpainting-inference.yaml [2.0 KB]
v1-inference_clip_skip_2_fp16.yaml [2.0 KB]
v2-inpainting-inference.yaml [4.5 KB]
v1-inference_clip_skip_2.yaml [2.0 KB]
📁 grounding-dino
groundingdino_swinb_cogcoor.pth [894.6 MB]
groundingdino_swint_ogc.pth [661.8 MB]
GroundingDINO_SwinB.cfg.py [1007.0 B]
GroundingDINO_SwinT_OGC.cfg.py [1006.0 B]
📁 deepbump
deepbump256.onnx [25.5 MB]
📁 rembg
u2net.onnx [167.8 MB]
sam_vit_b_01ec64.encoder.onnx [342.6 MB]
RMBG-1.4.pth [168.5 MB]
isnet-anime.onnx [167.9 MB]
u2net_human_seg.onnx [167.8 MB]
u2netp.onnx [4.4 MB]
sam_vit_b_01ec64.decoder.onnx [15.7 MB]
📁 hunyuan
📁 reactor
📁 faces
123.safetensors [4.3 KB]
📁 xlabs
📁 loras
mjv6_lora_comfy_converted.safetensors [42.8 MB]
scenery_lora_comfy_converted.safetensors [42.8 MB]
disney_lora_comfy_converted.safetensors [42.8 MB]
anime_lora_comfy_converted.safetensors [42.8 MB]
realism_lora_comfy_converted.safetensors [21.4 MB]
art_lora_comfy_converted.safetensors [342.0 MB]
📁 controlnets
flux-depth-controlnet.safetensors [1.4 GB]
Flux_canny.safetensors [1.4 GB]
flux-canny-controlnet-v3.safetensors [1.4 GB]
flux-depth-controlnet-v3.safetensors [1.4 GB]
flux-hed-controlnet-v3.safetensors [1.4 GB]
📁 photomaker
📁 pt
put_photomaker_models_here
photomaker-v1.bin [890.8 MB]
ms_adapter.bin [1.7 GB]
📁 ipadapter
ip-adapter-faceid-portrait_sdxl.bin [715.1 MB]
ip_adapter_plus_genernal_kolors.bin [966.2 MB]
ip-adapter-faceid-portrait-v11_sd15.bin [61.6 MB]
ip-adapter_sd15_light_v11.bin [42.6 MB]
ip-adapter_sd15_vit-G.safetensors [44.1 MB]
ip-adapter_sdxl.safetensors [670.0 MB]
ip-adapter-faceid-portrait_sdxl_unnorm.bin [962.8 MB]
ip-adapter-plus-face_sd15.safetensors [93.6 MB]
ip-adapter-faceid-plusv2_sd15.bin [149.3 MB]
ip-adapter-plus-face_sdxl_vit-h.safetensors [808.3 MB]
ip-adapter-plus_sdxl_vit-h.safetensors [808.3 MB]
ip-adapter-faceid_sd15.bin [92.3 MB]
ip-adapter-full-face_sd15.safetensors [41.6 MB]
ip-adapter_sd15.safetensors [42.6 MB]
ip-adapter_sdxl_vit-h.safetensors [666.0 MB]
ip-adapter-faceid_sdxl.bin [1021.5 MB]
ip-adapter-faceid-plusv2_sdxl.bin [1.4 GB]
ip-adapter-plus_sd15.safetensors [93.6 MB]
📁 CRM
📁 onnx
📁 inpaint
📁 PowerPaint
diffusion_pytorch_model.safetensors [3.3 GB]
pytorch_model.bin [469.6 MB]
📁 random_mask_brushnet_ckpt_sdxl_v0
config.json [1.4 KB]
diffusion_pytorch_model.safetensors [1.4 GB]
📁 segmentation_mask_brushnet_ckpt_sdxl_v0
diffusion_pytorch_model.safetensors [1.4 GB]
config.json [1.4 KB]
MAT_Places512_G_fp16.safetensors [119.5 MB]
inpaint_v26.fooocus.patch [1.2 GB]
fooocus_inpaint_head.pth [51.4 KB]
big-lama.pt [196.1 MB]
📁 CCSR
real-world_ccsr-fp16.safetensors [3.2 GB]
📁 hypernetworks
put_hypernetworks_here
📁 t5
HunyuanDit_v1.2_t2i_mt5_fp16_pruned.bin [4.1 GB]
HunyuanDit_v1.2_t2i_mt5.bin [13.9 GB]
📁 clipseg
📁 models--CIDAS--clipseg-rd64-refined
📁 .no_exist
📁 583b388deb98a04feb3e1f816dcdb8f3062ee205
📁 snapshots
📁 583b388deb98a04feb3e1f816dcdb8f3062ee205
📁 refs
📁 LLavacheckpoints
📁 files_for_moondream2
📁 files_for__moondream
📁 files_for_internlm
📁 files_for_mcllava
📁 files_for_audioldm2
📁 files_for_kosmos2
📁 files_for_joytagger
📁 files_for_uform_gen2_qwen
llava-1.6-mistral-7b.Q8_0.gguf [7.2 GB]
llava-v1.6-mistral-7b.Q3_K_M.gguf [3.3 GB]
mmproj-model-f16.gguf [595.5 MB]
📁 vae
ae.sft [319.8 MB]
vae-ft-mse-840000-ema-pruned.ckpt [319.2 MB]
HunyuanDiT_v1.2_t2i_vae.bin [319.2 MB]
HunyuanDiT_v1.2_t2i_vae(1).bin [319.2 MB]
video_vae.bin [319.2 MB]
sdxl_vae.safetensors [319.1 MB]
kolors_vae.safetensors [319.1 MB]
put_vae_here
📁 facerestore_models
GFPGANv1.3.pth [332.5 MB]
GPEN-BFR-512.onnx [271.1 MB]
GFPGANv1.4.pth [332.5 MB]
codeformer-v0.1.0.pth [359.2 MB]
📁 liveportrait
📁 .huggingface
📁 download
warping_module.safetensors.metadata [128.0 B]
.gitattributes.metadata [104.0 B]
landmark.onnx.metadata [128.0 B]
motion_extractor.safetensors.metadata [128.0 B]
stitching_retargeting_module.safetensors.metadata [128.0 B]
spade_generator.safetensors.metadata [128.0 B]
appearance_feature_extractor.safetensors.metadata [126.0 B]
.gitignore [1.0 B]
stitching_retargeting_module.safetensors [890.5 KB]
appearance_feature_extractor.safetensors [3.2 MB]
.gitattributes [1.5 KB]
spade_generator.safetensors [211.5 MB]
warping_module.safetensors [173.7 MB]
motion_extractor.safetensors [107.3 MB]
landmark.onnx [109.4 MB]
📁 ultralytics
📁 bbox
hand_yolov8s.pt [21.5 MB]
face_yolov8m.pt [49.6 MB]
📁 segm
PitEyeDetailer-v2-seg.pt [22.7 MB]
person_yolov8m-seg.pt [52.3 MB]
📁 embeddings
put_embeddings_or_textual_inversion_concepts_here
📁 animatediff_motion_lora
v2_lora_ZoomIn.ckpt [73.9 MB]
v2_lora_PanRight.ckpt [73.9 MB]
v2_lora_ZoomOut.ckpt [73.9 MB]
v2_lora_TiltUp.ckpt [73.9 MB]
v2_lora_RollingAnticlockwise.ckpt [73.9 MB]
v2_lora_TiltDown.ckpt [73.9 MB]
v2_lora_RollingClockwise.ckpt [73.9 MB]
v2_lora_PanLeft.ckpt [73.9 MB]
v3_sd15_adapter.ckpt [97.4 MB]
📁 mmdets
📁 bbox
📁 animatediff_models
hsxl_temporal_layers.safetensors [905.4 MB]
mm_sdxl_v10_beta.ckpt [906.1 MB]
motionModel_v01.ckpt [1.6 GB]
temporaldiff-v1-animatediff.safetensors [1.6 GB]
v3_sd15_mm.ckpt [1.6 GB]
📁 unet
📁 kolors
config.json [1.7 KB]
diffusion_pytorch_model.safetensors [9.6 GB]
iclight_sd15_fbc.safetensors [1.6 GB]
kolors-inpainting.safetensors [4.8 GB]
put_unet_files_here
flux1-dev-fp8.safetensors [11.1 GB]
iclight_sd15_fcon.safetensors [1.6 GB]
iclight_sd15_fc.safetensors [1.6 GB]
📁 bert-base-uncased
tokenizer.json [455.1 KB]
tokenizer_config.json [48.0 B]
model.safetensors [420.0 MB]
config.json [570.0 B]
vocab.txt [226.1 KB]
📁 gligen
put_gligen_models_here
liveportrait.7z [556.6 MB]
📁 安装包文件
📁 常用工具
Git-2.47.1-64-bit.exe [65.9 MB]
MSVBCRT.AIO.2024.11.06.exe [66.4 MB]
ComfyUI.V7.zip [98.6 GB]
📁 278款工作流分享
2025.4.25logo_标志_图标生成.json [54.5 KB]
线稿制作.json [48.2 KB]
视频工作流.json [8.6 KB]
最佳的换脸工作流.json [38.5 KB]
进阶工作流3：海贼王通缉令生成.json [36.5 KB]
进阶工作流2：老照片上色修复.json [31.9 KB]
instant人像摄影工作流.json [21.3 KB]
一键模特展示产品.json [6.4 KB]
SD3图像高清修复放大工作流-适用于ComfyUI_V3.json [8.0 KB]
7. 多重ControlNet工作流（效率节点版本）.json [23.8 KB]
万相MotionLoRA - 镜头推进.json [52.4 KB]
TTP示例工作流.json [47.7 KB]
3. 算法放大（后期处理）工作流.json [3.8 KB]
3. LoRA Stacker工作流（效率节点版本）.json [9.2 KB]
reactor工作流.json [46.2 KB]
animatediff动画工作流.json [14.1 KB]
固定人像换指定动作【万物迁移】.json [25.8 KB]
Flux1-redux示例工作流.json [22.0 KB]
2. 多LoRA生成工作流.json [11.6 KB]
2024.07.09一键换色.json [23.0 KB]
最强高清放大还原.json [19.6 KB]
官方示例工作流.json [18.5 KB]
未命名工作流.json [4.0 B]
PS高阶-光影优化V2.json [26.2 KB]
animatediff视频转绘工作流.json [32.7 KB]
FLUX PuLID换脸工作流.json [21.5 KB]
换脸工作流.json [2.5 KB]
实时绘画工作流.json [17.0 KB]
一键用插画生成COSER老婆.json [10.3 KB]
室内设计工作流.json [15.8 KB]
照片跳舞工作流.json [9.3 KB]
Wan2.2加速工作流.json [23.0 KB]
三视图.json [24.6 KB]
2025.2.4【换装_虚拟试穿】FitDiT换装模型体验、最新试穿模型体验.json [9.6 KB]
SD3LORA模型测试工作流-适用于ComfyUI_V3.json [24.2 KB]
SD3图生图ComfyUI工作流_V1.json [27.3 KB]
2025.4.30comfyui支持wan2.1_FLF2V首尾帧_98%首尾帧匹配.json [31.8 KB]
SD3文生图工作流清爽版_sd3文生图工作流清爽版.json [24.7 KB]
Kontext-人物重打光V2.json [24.4 KB]
人物背景完美融合.json [20.8 KB]
3 文生图标准工作流.json [12.3 KB]
【文生图+ 图生视频】最小闭环SVD工作流.json [10.6 KB]
Fill-flux-dev 重绘 OneReward fp8 工作流 .json [17.1 KB]
FLUX反推控图与生图.json [89.9 KB]
人像溶图打光 _ 人物海报合成_人像打光_人物背景融合.json [53.6 KB]
kontext电商产品打光_渲染.json [23.8 KB]
像素级放大工作流.json [6.7 KB]
微打光.json [45.1 KB]
PhotoMaker_换脸工作流.json [13.5 KB]
wan2.1万象图生视频跳舞大摆锤+lora+放大补帧.json [24.4 KB]
动物人.json [12.6 KB]
简易换装工作流.json [16.3 KB]
FLUX-产品生成背景.json [57.2 KB]
SeargeSDXL.json [316.0 B]
kontext 电商产品一键精修怡均.json [15.6 KB]
Kontext 电商角度自适应自动纠正透视场景产品融图.json [36.0 KB]
最新！！图像一键放大.json [65.6 KB]
1. Latent放大工作流.json [11.0 KB]
视频动作迁移WAN2.1-VACE-14B.json [41.0 KB]
使用Controlnet视频转绘主工作流.json [33.4 KB]
提示词反推测评工作流(1).json [35.4 KB]
多视图工作流.json [16.8 KB]
SVD 文生图&图生视频基本工作流.json [7.4 KB]
tts克隆声音.json [7.2 KB]
Flux kontext 高清放大.json [343.6 KB]
2025.3.31Wan2.1-Fun首尾帧预测视频生成.json [39.9 KB]
2024.7.2识别任何东西并替换.json [19.9 KB]
Wan2.2极速文生视频KJ版本（已确保跑通）.json [54.2 KB]
初学者工作流 A1111 风格 （高分辨率提升，面部细节增强）.json [49.3 KB]
脸部高清放大对比工作流.json [28.0 KB]
SD3放大工作流_1.0.json [10.5 KB]
商品换背景工作流.json [42.0 KB]
一键生成红蓝白底证件照comfyui.json [11.0 KB]
FOX-XL-Illustrious-ControlNet辅助文生图.json [108.0 KB]
2025.3.4阿里通义万相Wan2.1目前最强视频开源模型.json [25.1 KB]
AI摄影.json [39.2 KB]
REDUX+DUBLE.json [18.3 KB]
2025.1.17英伟达Cosmos世界模型工作流.json [17.0 KB]
工业产品精修：机械零件设备-图片修复-高清放大-材质优化-工作流.json [39.7 KB]
2025.4.4CFG-Zero图像、视频质量提升,生成更精准；适用wan2.1、Flux、SD3.5等扩散模型.json [34.7 KB]
2025.5.9-ComfyUI_新神器_ICEdit：面部一致、主体转绘、编辑、移除全搞定_无需抽卡.json [60.0 KB]
循环工作流.json [47.5 KB]
kontext_全能溶图打光.json [71.9 KB]
此工作流最后一个就是AnimateLCM.json [62.2 KB]
整理后工作流的.json [188.9 KB]
Flux电商产品换背景、.json [36.9 KB]
文生图通用工作流.json [51.6 KB]
Wan2.2 动态壁纸生成器 🚀.json [57.1 KB]
Qwen Edit衣服提取工作流.json [18.3 KB]
透明素材生成工作流.json [13.7 KB]
扩图工作流.json [24.1 KB]
入门工作流-整合.json [34.6 KB]
2025.5.10-ICEdit图像编辑神器_官方版comfyui工作流(1).json [23.4 KB]
2025.2.21Sonic_最强开源数字人_照片说话唱歌_音频感知.json [11.9 KB]
kontext筋膜枪_手机等各类手持_融图.json [23.1 KB]
AI造字工作流.json [13.2 KB]
rgthree人物背景组合工作流v2.json [79.2 KB]
T恤定制.json [23.7 KB]
2024.6.25上下左右尺寸扩图.json [31.2 KB]
阿里image2video工作流.json [6.2 KB]
ComfyUI_Mie_2026_V8.5_Base.7z [69.0 GB]
ComfyUI-aki-v1.6.zip [4.6 GB]
ComfyUI-aki-V2.rar [3.7 GB]
ComfyUI整合包_V3.0.zip [72.4 GB]
Comfyui基础教程图文.rar [1.4 MB]