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최종 버전 다운로드 (.zip)- cldm.py
- control_types.py
- dit_embedder.py
- mmdit.py
- example_nodes.py
- input_options.png
- input_types.png
- required_hint.png
- __init__.py
- node_typing.py
- README.md
- uni_pc.py
- deis.py
- sampling.py
- utils.py
- autoencoder.py
- dit.py
- embedders.py
- mmdit.py
- common.py
- controlnet.py
- stage_a.py
- stage_b.py
- stage_c.py
- stage_c_coder.py
- layers3d.py
- patching.py
- utils.py
- blocks.py
- model.py
- position_embedding.py
- vae.py
- controlnet.py
- layers.py
- math.py
- model.py
- redux.py
- asymm_models_joint.py
- layers.py
- rope_mixed.py
- temporal_rope.py
- utils.py
- model.py
- model.py
- attn_layers.py
- controlnet.py
- models.py
- poolers.py
- posemb_layers.py
- causal_conv3d.py
- causal_video_autoencoder.py
- conv_nd_factory.py
- dual_conv3d.py
- pixel_norm.py
- model.py
- symmetric_patchifier.py
- autoencoder.py
- __init__.py
- mmdit.py
- model.py
- openaimodel.py
- upscaling.py
- util.py
- __init__.py
- distributions.py
- __init__.py
- noise_aug_modules.py
- attention.py
- sub_quadratic_attention.py
- temporal_ae.py
- blocks.py
- pixartms.py
- common_dit.py
- util.py
- merges.txt
- special_tokens_map.json
- tokenizer_config.json
- vocab.json
- adapter.py
- taesd.py
- special_tokens_map.json
- tokenizer_config.json
- vocab.txt
- tokenizer.json
- tokenizer_config.json
- tokenizer.model
- special_tokens_map.json
- tokenizer.json
- tokenizer_config.json
- aura_t5.py
- bert.py
- cosmos.py
- flux.py
- genmo.py
- hunyuan_video.py
- hydit.py
- hydit_clip.json
- llama.py
- long_clipl.json
- long_clipl.py
- lt.py
- mt5_config_xl.json
- pixart_t5.py
- sa_t5.py
- sd2_clip.py
- sd2_clip_config.json
- sd3_clip.py
- spiece_tokenizer.py
- t5.py
- t5_config_base.json
- t5_config_xxl.json
- t5_config_xxl_distill.json
- t5_old_config_xxl.json
- t5_pile_config_xl.json
- checkpoint_pickle.py
- cli_args.py
- clip_config_bigg.json
- clip_model.py
- clip_vision.py
- clip_vision_config_g.json
- clip_vision_config_h.json
- clip_vision_config_vitl.json
- clip_vision_config_vitl_336.json
- clip_vision_siglip_384.json
- conds.py
- controlnet.py
- diffusers_convert.py
- diffusers_load.py
- float.py
- gligen.py
- hooks.py
- latent_formats.py
- lora.py
- lora_convert.py
- model_base.py
- model_detection.py
- model_management.py
- model_patcher.py
- model_sampling.py
- ops.py
- options.py
- patcher_extension.py
- sample.py
- sampler_helpers.py
- samplers.py
- sd.py
- sd1_clip.py
- sd1_clip_config.json
- sdxl_clip.py
- supported_models.py
- supported_models_base.py
- utils.py
- caching.py
- graph.py
- graph_utils.py
- validation.py
- model_loading.py
- nodes_advanced_samplers.py
- nodes_align_your_steps.py
- nodes_attention_multiply.py
- nodes_audio.py
- nodes_canny.py
- nodes_clip_sdxl.py
- nodes_compositing.py
- nodes_cond.py
- nodes_controlnet.py
- nodes_custom_sampler.py
- nodes_differential_diffusion.py
- nodes_flux.py
- nodes_freelunch.py
- nodes_gits.py
- nodes_hooks.py
- nodes_hunyuan.py
- nodes_hypernetwork.py
- nodes_hypertile.py
- nodes_images.py
- nodes_ip2p.py
- nodes_latent.py
- nodes_lora_extract.py
- nodes_lt.py
- nodes_mahiro.py
- nodes_mask.py
- nodes_mochi.py
- nodes_model_advanced.py
- nodes_model_downscale.py
- nodes_model_merging.py
- nodes_model_merging_model_specific.py
- nodes_morphology.py
- nodes_pag.py
- nodes_perpneg.py
- nodes_photomaker.py
- nodes_post_processing.py
- nodes_rebatch.py
- nodes_sag.py
- nodes_sd3.py
- nodes_sdupscale.py
- nodes_slg.py
- nodes_stable3d.py
- nodes_stable_cascade.py
- nodes_tomesd.py
- nodes_torch_compile.py
- nodes_upscale_model.py
- nodes_video_model.py
- nodes_webcam.py
- __init__.py
- agent_logger.py
- aiohttp_util.py
- singleton.py
- utils.py
- publish.yml
- FUNDING.yml
- 2024-04-03_20_49_29-ComfyUI.png
- 319121566-05f66385-7568-4b1f-8bbc-11053660b02f.png
- 319121636-706b5081-9120-4a29-bd76-901691ada688.png
- leapfusion_hunyuuanvideo_i2v_native_testing.json
- FreeMono.ttf
- FreeMonoBoldOblique.otf
- TTNorms-Black.otf
- intrinsic_lora_sd15_albedo.safetensors
- intrinsic_lora_sd15_depth.safetensors
- intrinsic_lora_sd15_normal.safetensors
- intrinsic_lora_sd15_shading.safetensors
- intrinsic_loras.txt
- audioscheduler_nodes.py
- batchcrop_nodes.py
- curve_nodes.py
- image_nodes.py
- intrinsic_lora_nodes.py
- mask_nodes.py
- model_optimization_nodes.py
- nodes.py
- fluid.py
- magictex.py
- numerical.py
- utility.py
- appearance.js
- browserstatus.js
- contextmenu.js
- fast_preview.js
- help_popup.js
- jsnodes.js
- point_editor.js
- setgetnodes.js
- spline_editor.js
- green.png
- red.png
- .gitignore
- __init__.py
- config.json
- custom_dimensions_example.json
- LICENSE
- pyproject.toml
- README.md
- publish.yml
- compare_flux.png
- compare_pulid_flux.png
- compile.png
- einstein.jpg
- teacache_cogvideox.json
- teacache_flux.json
- teacache_hunyuanvideo.json
- teacache_ltx_video.json
- teacache_pulid_flux.json
- __init__.py
- enhance.py
- globals.py
- custom_cogvideox_transformer_3d.py
- embeddings.py
- __init__.py
- LICENSE
- nodes.py
- nodes_diffusers.py
- pyproject.toml
- README.md
- requirements.txt
- bulma-carousel.min.css
- bulma-slider.min.css
- bulma.min.css
- fontawesome.all.min.css
- style.css
- 3.png
- 6.png
- 7.png
- left1.png
- left11.png
- left12.png
- left13.png
- left14.png
- left2.png
- left3.png
- left4.png
- right1.png
- right2.png
- right3.png
- right4.png
- 1.png
- 2.png
- 3.png
- ai.svg
- demo.mp4
- hf.svg
- lego.png
- juxtapose.js
- index.html
- analyze_overlapping_masks.sh
- blur_tests.sh
- env.sh
- find_best_checkpoint.py
- generate_test_celeba-hq.sh
- generate_test_ffhq.sh
- generate_test_paris.sh
- generate_test_paris_256.sh
- generate_val_test.sh
- predict_inner_features.sh
- update_test_data_stats.sh
- analyze_errors.py
- blur_predicts.py
- calc_dataset_stats.py
- evaluate_predicts.py
- evaluator_example.py
- extract_masks.py
- filter_sharded_dataset.py
- gen_debug_mask_dataset.py
- gen_mask_dataset.py
- gen_mask_dataset_hydra.py
- gen_outpainting_dataset.py
- make_checkpoint.py
- mask_example.py
- predict.py
- predict_inner_features.py
- report_from_tb.py
- sample_from_dataset.py
- side_by_side.py
- split_tar.py
- to_jit.py
- train.py
- LaMa_inpainting.ipynb
- random_medium_256.yaml
- random_medium_512.yaml
- random_thick_256.yaml
- random_thick_512.yaml
- random_thin_256.yaml
- random_thin_512.yaml
- default.yaml
- abl-02-thin-bb.yaml
- abl-04-256-mh-dist-celeba.yaml
- abl-04-256-mh-dist-web.yaml
- abl-04-256-mh-dist.yaml
- pix2pixhd_nlayer.yaml
- default_inpainted.yaml
- ffc_resnet_075.yaml
- pix2pixhd_global.yaml
- pix2pixhd_global_sigmoid.yaml
- pix2pixhd_multidilated_catin_4dil_9b.yaml
- no_time.yaml
- overrides.yaml
- celeba_example.yaml
- docker.yaml
- places_example.yaml
- default_optimizers.yaml
- any_gpu_large_ssim_ddp_final.yaml
- any_gpu_large_ssim_ddp_final_benchmark.yaml
- any_gpu_large_ssim_ddp_final_celeba.yaml
- directory.yaml
- ablv2_work.yaml
- ablv2_work_ffc075.yaml
- ablv2_work_md.yaml
- ablv2_work_no_fm.yaml
- ablv2_work_no_segmpl.yaml
- ablv2_work_no_segmpl_csdilirpl.yaml
- ablv2_work_no_segmpl_csdilirpl_celeba_csdilirpl1_new.yaml
- ablv2_work_no_segmpl_csirpl.yaml
- ablv2_work_no_segmpl_csirpl_celeba_csirpl03_new.yaml
- ablv2_work_no_segmpl_vgg.yaml
- ablv2_work_no_segmpl_vgg_celeba_l2_vgg003_new.yaml
- ablv2_work_nodil_segmpl.yaml
- ablv2_work_small_holes.yaml
- big-lama-celeba.yaml
- big-lama-regular-celeba.yaml
- big-lama-regular.yaml
- big-lama.yaml
- lama-fourier-celeba.yaml
- lama-fourier.yaml
- lama-regular-celeba.yaml
- lama-regular.yaml
- lama_small_train_masks.yaml
- analyze_mask_errors.yaml
- debug_mask_gen.yaml
- eval1.yaml
- eval2.yaml
- eval2_cpu.yaml
- eval2_gpu.yaml
- eval2_jpg.yaml
- eval2_segm.yaml
- eval2_segm_test.yaml
- eval2_test.yaml
- places2-categories_157.txt
- test_large_30k.lst
- 1_generate_masks_from_raw_images.sh
- 2_predict.sh
- 3_evaluate.sh
- build-cuda111.sh
- build.sh
- Dockerfile
- Dockerfile-cuda111
- entrypoint.sh
- celebahq_dataset_prepare.sh
- celebahq_gen_masks.sh
- eval_sampler.py
- places_challenge_train_download.sh
- places_standard_evaluation_prepare_data.sh
- places_standard_test_val_gen_masks.sh
- places_standard_test_val_prepare.sh
- places_standard_test_val_sample.sh
- places_standard_train_prepare.sh
- sampler.py
- train_shuffled.flist
- val_shuffled.flist
- test_numeric_batchnorm.py
- test_sync_batchnorm.py
- __init__.py
- batchnorm.py
- comm.py
- replicate.py
- unittest.py
- __init__.py
- data_parallel.py
- __init__.py
- __init__.py
- dataloader.py
- dataset.py
- distributed.py
- sampler.py
- __init__.py
- th.py
- __init__.py
- base.py
- color150.mat
- mobilenet.py
- object150_info.csv
- resnet.py
- utils.py
- alex.pth
- squeeze.pth
- vgg.pth
- __init__.py
- fid_score.py
- inception.py
- __init__.py
- base_loss.py
- lpips.py
- ssim.py
- gcim.jpg
- gray_segmentation.png
- segmentation.png
- sparse.png
- countless2d_gcim_N_1000.png
- countless2d_quick_gcim_N_1000.png
- countless3d.png
- countless3d_dynamic.png
- countless3d_dynamic_generalized.png
- countless3d_generalized.png
- .gitignore
- __init__.py
- countless2d.py
- countless3d.py
- README.md
- requirements.txt
- test.py
- __init__.py
- mask.py
- README.md
- __init__.py
- data.py
- evaluator.py
- refinement.py
- utils.py
- vis.py
- __init__.py
- aug.py
- datasets.py
- masks.py
- __init__.py
- adversarial.py
- constants.py
- distance_weighting.py
- feature_matching.py
- perceptual.py
- segmentation.py
- style_loss.py
- __init__.py
- base.py
- depthwise_sep_conv.py
- fake_fakes.py
- ffc.py
- multidilated_conv.py
- multiscale.py
- pix2pixhd.py
- spatial_transform.py
- squeeze_excitation.py
- __init__.py
- base.py
- default.py
- __init__.py
- base.py
- colors.py
- directory.py
- noop.py
- __init__.py
- __init__.py
- utils.py
- .gitignore
- conda_env.yml
- LICENSE
- predict.py
- README.md
- lama_infer.py
- infer_onnx.py
- __init__.py
- build_efficient_sam.py
- efficient_sam.py
- efficient_sam_decoder.py
- efficient_sam_encoder.py
- mlp.py
- two_way_transformer.py
- .DS_Store
- __init__.py
- act.py
- drop.py
- norm.py
- ops.py
- triton_rms_norm.py
- __init__.py
- list.py
- network.py
- random.py
- __init__.py
- backbone.py
- cls.py
- dc_ae.py
- sam.py
- seg.py
- __init__.py
- common.py
- image_encoder.py
- mask_decoder.py
- prompt_encoder.py
- sam.py
- transformer.py
- __init__.py
- amg.py
- onnx.py
- transforms.py
- __init__.py
- automatic_mask_generator.py
- build_sam.py
- predictor.py
- _C.so
- connected_components.o
- .ninja_deps
- .ninja_log
- build.ninja
- connected_components.cu
- __init__.py
- hieradet.py
- image_encoder.py
- utils.py
- __init__.py
- mask_decoder.py
- prompt_encoder.py
- transformer.py
- __init__.py
- memory_attention.py
- memory_encoder.py
- position_encoding.py
- sam2_base.py
- sam2_utils.py
- __init__.py
- amg.py
- misc.py
- transforms.py
- __init__.py
- _C.so
- automatic_mask_generator.py
- build_sam.py
- sam2_image_predictor.py
- sam2_video_predictor.py
- __init__.py
- sam2_hiera_b+.yaml
- sam2_hiera_l.yaml
- sam2_hiera_s.yaml
- sam2_hiera_t.yaml
- setup.py
- get_started_for_captioning.md
- get_started_for_image_classification.md
- get_started_for_nlvr2.md
- get_started_for_retrieval.md
- get_started_for_vqav2.md
- datasets.py
- engine_for_finetuning.py
- glossary.py
- modeling_finetune.py
- modeling_utils.py
- optim_factory.py
- randaug.py
- README.md
- run_beit3_finetuning.py
- utils.py
- configuration_evf.py
- evf_efficientvit_boxembd.py
- evf_effisam.py
- evf_sam.py
- evf_sam2.py
- evf_sam2_video.py
- put_checkpoints_here
- put_clip_or_text_encoder_models_here
- put_clip_vision_models_here
- anything_v3.yaml
- v1-inference.yaml
- v1-inference_clip_skip_2.yaml
- v1-inference_clip_skip_2_fp16.yaml
- v1-inference_fp16.yaml
- v1-inpainting-inference.yaml
- v2-inference-v.yaml
- v2-inference-v_fp32.yaml
- v2-inference.yaml
- v2-inference_fp32.yaml
- v2-inpainting-inference.yaml
- put_controlnets_and_t2i_here
- put_diffusers_models_here
- put_diffusion_model_files_here
- put_embeddings_or_textual_inversion_concepts_here
- put_gligen_models_here
- put_hypernetworks_here
- put_loras_here
- put_photomaker_models_here
- put_t2i_style_model_here
- put_text_encoder_files_here
- put_unet_files_here
- put_esrgan_and_other_upscale_models_here
- put_vae_here
- put_taesd_encoder_pth_and_taesd_decoder_pth_here
- bright.png
- case_pic.png
- lego_pic.png
- lora_effect.png
- maskcase1.png
- maskcase2.png
- .gitignore
- coco.txt
- Disclaimer.md
- folder_paths.py
- inference_sam.py
- latent_preview.py
- legodemo.py
- LICENSE.txt
- node_helpers.py
- nodes.py
- README.md
- requirements.txt
- system_prompt.txt
// repository documentation
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