Drive-WM
[CVPR 2024] A world model for autonomous driving.
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최종 버전 다운로드 (.zip)- action.yml
- bug-report.yml
- config.yml
- feature_request.md
- feedback.md
- new-model-addition.yml
- translate.md
- build_docker_images.yml
- build_documentation.yml
- build_pr_documentation.yml
- delete_doc_comment.yml
- delete_doc_comment_trigger.yml
- nightly_tests.yml
- pr_dependency_test.yml
- pr_flax_dependency_test.yml
- pr_quality.yml
- pr_test_fetcher.yml
- pr_test_peft_backend.yml
- pr_tests.yml
- pr_torch_dependency_test.yml
- push_tests.yml
- push_tests_fast.yml
- push_tests_mps.yml
- stale.yml
- typos.yml
- upload_pr_documentation.yml
- PULL_REQUEST_TEMPLATE.md
- Dockerfile
- Dockerfile
- Dockerfile
- Dockerfile
- Dockerfile
- Dockerfile
- Dockerfile
- Dockerfile
- lora.md
- single_file.md
- textual_inversion.md
- unet.md
- asymmetricautoencoderkl.md
- autoencoder_tiny.md
- autoencoderkl.md
- consistency_decoder_vae.md
- controlnet.md
- overview.md
- prior_transformer.md
- transformer2d.md
- transformer_temporal.md
- unet-motion.md
- unet.md
- unet2d-cond.md
- unet2d.md
- unet3d-cond.md
- vq.md
- adapter.md
- depth2img.md
- gligen.md
- image_variation.md
- img2img.md
- inpaint.md
- latent_upscale.md
- ldm3d_diffusion.md
- overview.md
- stable_diffusion_2.md
- stable_diffusion_safe.md
- stable_diffusion_xl.md
- text2img.md
- upscale.md
- alt_diffusion.md
- animatediff.md
- attend_and_excite.md
- audio_diffusion.md
- audioldm.md
- audioldm2.md
- auto_pipeline.md
- blip_diffusion.md
- consistency_models.md
- controlnet.md
- controlnet_sdxl.md
- cycle_diffusion.md
- dance_diffusion.md
- ddim.md
- ddpm.md
- deepfloyd_if.md
- diffedit.md
- dit.md
- kandinsky.md
- kandinsky_v22.md
- latent_consistency_models.md
- latent_diffusion.md
- latent_diffusion_uncond.md
- model_editing.md
- musicldm.md
- overview.md
- paint_by_example.md
- panorama.md
- paradigms.md
- pix2pix.md
- pix2pix_zero.md
- pixart.md
- pndm.md
- repaint.md
- score_sde_ve.md
- self_attention_guidance.md
- semantic_stable_diffusion.md
- shap_e.md
- spectrogram_diffusion.md
- stable_unclip.md
- stochastic_karras_ve.md
- text_to_video.md
- text_to_video_zero.md
- unclip.md
- unidiffuser.md
- value_guided_sampling.md
- versatile_diffusion.md
- vq_diffusion.md
- wuerstchen.md
- cm_stochastic_iterative.md
- consistency_decoder.md
- ddim.md
- ddim_inverse.md
- ddpm.md
- deis.md
- dpm_discrete.md
- dpm_discrete_ancestral.md
- dpm_sde.md
- euler.md
- euler_ancestral.md
- heun.md
- ipndm.md
- lcm.md
- lms_discrete.md
- multistep_dpm_solver.md
- multistep_dpm_solver_inverse.md
- overview.md
- pndm.md
- repaint.md
- score_sde_ve.md
- score_sde_vp.md
- singlestep_dpm_solver.md
- stochastic_karras_ve.md
- unipc.md
- vq_diffusion.md
- activations.md
- attnprocessor.md
- configuration.md
- image_processor.md
- internal_classes_overview.md
- logging.md
- normalization.md
- outputs.md
- utilities.md
- contribution.md
- ethical_guidelines.md
- evaluation.md
- philosophy.md
- access_request.png
- diffusers_library.jpg
- coreml.md
- fp16.md
- habana.md
- memory.md
- mps.md
- onnx.md
- open_vino.md
- opt_overview.md
- tome.md
- torch2.0.md
- xformers.md
- adapt_a_model.md
- controlnet.md
- create_dataset.md
- custom_diffusion.md
- ddpo.md
- distributed_inference.md
- dreambooth.md
- instructpix2pix.md
- kandinsky.md
- lora.md
- overview.md
- sdxl.md
- t2i_adapters.md
- text2image.md
- text_inversion.md
- unconditional_training.md
- wuerstchen.md
- autopipeline.md
- basic_training.md
- tutorial_overview.md
- using_peft_for_inference.md
- callback.md
- conditional_image_generation.md
- contribute_pipeline.md
- control_brightness.md
- controlling_generation.md
- controlnet.md
- custom_pipeline_examples.md
- custom_pipeline_overview.md
- depth2img.md
- diffedit.md
- distilled_sd.md
- freeu.md
- img2img.md
- inference_with_lcm.md
- inference_with_lcm_lora.md
- inpaint.md
- kandinsky.md
- loading.md
- loading_adapters.md
- loading_overview.md
- other-formats.md
- other-modalities.md
- pipeline_overview.md
- push_to_hub.md
- reproducibility.md
- reusing_seeds.md
- schedulers.md
- sdxl.md
- shap-e.md
- stable_diffusion_jax_how_to.md
- textual_inversion_inference.md
- unconditional_image_generation.md
- using_safetensors.md
- weighted_prompts.md
- write_own_pipeline.md
- _toctree.yml
- index.md
- installation.md
- quicktour.md
- stable_diffusion.md
- _toctree.yml
- index.md
- installation.md
- quicktour.md
- stable_diffusion.md
- stable_diffusion_xl.md
- coreml.md
- fp16.md
- habana.md
- mps.md
- onnx.md
- open_vino.md
- opt_overview.md
- tome.md
- torch2.0.md
- xformers.md
- adapt_a_model.md
- controlnet.md
- create_dataset.md
- custom_diffusion.md
- distributed_inference.md
- dreambooth.md
- instructpix2pix.md
- lora.md
- overview.md
- text2image.md
- text_inversion.md
- unconditional_training.md
- basic_training.md
- tutorial_overview.md
- conditional_image_generation.md
- contribute_pipeline.md
- control_brightness.md
- controlling_generation.md
- custom_pipeline_examples.md
- custom_pipeline_overview.md
- depth2img.md
- img2img.md
- inpaint.md
- loading.md
- loading_overview.md
- other-formats.md
- pipeline_overview.md
- reproducibility.md
- reusing_seeds.md
- schedulers.md
- stable_diffusion_jax_how_to.md
- textual_inversion_inference.md
- unconditional_image_generation.md
- using_safetensors.md
- weighted_prompts.md
- write_own_pipeline.md
- _toctree.yml
- in_translation.md
- index.md
- installation.md
- quicktour.md
- stable_diffusion.md
- _toctree.yml
- index.md
- installation.md
- quicktour.md
- _toctree.yml
- index.md
- installation.md
- quicktour.md
- stable_diffusion.md
- _config.py
- README.md
- TRANSLATING.md
- bit_diffusion.py
- checkpoint_merger.py
- clip_guided_images_mixing_stable_diffusion.py
- clip_guided_stable_diffusion.py
- clip_guided_stable_diffusion_img2img.py
- composable_stable_diffusion.py
- ddim_noise_comparative_analysis.py
- edict_pipeline.py
- iadb.py
- imagic_stable_diffusion.py
- img2img_inpainting.py
- interpolate_stable_diffusion.py
- latent_consistency_img2img.py
- latent_consistency_interpolate.py
- latent_consistency_txt2img.py
- llm_grounded_diffusion.py
- lpw_stable_diffusion.py
- lpw_stable_diffusion_onnx.py
- lpw_stable_diffusion_xl.py
- magic_mix.py
- masked_stable_diffusion_img2img.py
- mixture_canvas.py
- mixture_tiling.py
- multilingual_stable_diffusion.py
- one_step_unet.py
- pipeline_fabric.py
- pipeline_prompt2prompt.py
- pipeline_stable_diffusion_xl_controlnet_adapter.py
- pipeline_stable_diffusion_xl_controlnet_adapter_inpaint.py
- pipeline_zero1to3.py
- README.md
- run_onnx_controlnet.py
- run_tensorrt_controlnet.py
- sd_text2img_k_diffusion.py
- seed_resize_stable_diffusion.py
- speech_to_image_diffusion.py
- stable_diffusion_comparison.py
- stable_diffusion_controlnet_img2img.py
- stable_diffusion_controlnet_inpaint.py
- stable_diffusion_controlnet_inpaint_img2img.py
- stable_diffusion_controlnet_reference.py
- stable_diffusion_ipex.py
- stable_diffusion_mega.py
- stable_diffusion_reference.py
- stable_diffusion_repaint.py
- stable_diffusion_tensorrt_img2img.py
- stable_diffusion_tensorrt_inpaint.py
- stable_diffusion_tensorrt_txt2img.py
- stable_diffusion_xl_reference.py
- stable_unclip.py
- text_inpainting.py
- tiled_upscaling.py
- unclip_image_interpolation.py
- unclip_text_interpolation.py
- wildcard_stable_diffusion.py
- README.md
- README_sdxl.md
- requirements.txt
- train_lcm_distill_lora_sd_wds.py
- train_lcm_distill_lora_sdxl_wds.py
- train_lcm_distill_sd_wds.py
- train_lcm_distill_sdxl_wds.py
- README.md
- README_sdxl.md
- requirements.txt
- requirements_flax.txt
- requirements_sdxl.txt
- train_controlnet.py
- train_controlnet_flax.py
- train_controlnet_sdxl.py
- README.md
- requirements.txt
- retrieve.py
- train_custom_diffusion.py
- README.md
- README_sdxl.md
- requirements.txt
- requirements_flax.txt
- requirements_sdxl.txt
- train_dreambooth.py
- train_dreambooth_flax.py
- train_dreambooth_lora.py
- train_dreambooth_lora_sdxl.py
- image_to_image.py
- inpainting.py
- README.md
- README.md
- README_sdxl.md
- requirements.txt
- train_instruct_pix2pix.py
- train_instruct_pix2pix_sdxl.py
- README.md
- requirements.txt
- train_text_to_image_decoder.py
- train_text_to_image_lora_decoder.py
- train_text_to_image_lora_prior.py
- train_text_to_image_prior.py
- README.md
- run_diffuser_locomotion.py
- inference.py
- README.md
- requirement.txt
- train_dreambooth_colossalai.py
- train_controlnet_webdataset.py
- README.md
- requirements.txt
- train_dreambooth_inpaint.py
- train_dreambooth_inpaint_lora.py
- README.md
- requirements.txt
- textual_inversion_bf16.py
- README.md
- requirements.txt
- text2images.py
- textual_inversion.py
- inference_bf16.py
- README.md
- README.md
- requirements.txt
- train_text_to_image_lora.py
- multi_token_clip.py
- README.md
- requirements.txt
- requirements_flax.txt
- textual_inversion.py
- textual_inversion_flax.py
- README.md
- requirements.txt
- train_multi_subject_dreambooth.py
- README.md
- requirements.txt
- train_text_to_image.py
- README.md
- requirements.txt
- textual_inversion.py
- README.md
- requirements.txt
- train_unconditional.py
- README.md
- pipeline_rdm.py
- README.md
- retriever.py
- infer.py
- README.md
- requirements.txt
- train_realfill.py
- README.md
- sdxl_single.py
- sdxl_single_aot.py
- README.md
- README.md
- README_sdxl.md
- requirements.txt
- train_t2i_adapter_sdxl.py
- README.md
- README_sdxl.md
- requirements.txt
- requirements_flax.txt
- requirements_sdxl.txt
- train_text_to_image.py
- train_text_to_image_flax.py
- train_text_to_image_lora.py
- train_text_to_image_lora_sdxl.py
- train_text_to_image_sdxl.py
- README.md
- requirements.txt
- requirements_flax.txt
- textual_inversion.py
- textual_inversion_flax.py
- README.md
- requirements.txt
- train_unconditional.py
- __init__.py
- modeling_efficient_net_encoder.py
- README.md
- requirements.txt
- train_text_to_image_lora_prior.py
- train_text_to_image_prior.py
- conftest.py
- README.md
- test_examples.py
- __init__.py
- change_naming_configs_and_checkpoints.py
- conversion_ldm_uncond.py
- convert_asymmetric_vqgan_to_diffusers.py
- convert_blipdiffusion_to_diffusers.py
- convert_consistency_decoder.py
- convert_consistency_to_diffusers.py
- convert_dance_diffusion_to_diffusers.py
- convert_ddpm_original_checkpoint_to_diffusers.py
- convert_diffusers_to_original_sdxl.py
- convert_diffusers_to_original_stable_diffusion.py
- convert_dit_to_diffusers.py
- convert_gligen_to_diffusers.py
- convert_if.py
- convert_k_upscaler_to_diffusers.py
- convert_kakao_brain_unclip_to_diffusers.py
- convert_kandinsky_to_diffusers.py
- convert_ldm_original_checkpoint_to_diffusers.py
- convert_lora_safetensor_to_diffusers.py
- convert_models_diffuser_to_diffusers.py
- convert_ms_text_to_video_to_diffusers.py
- convert_music_spectrogram_to_diffusers.py
- convert_ncsnpp_original_checkpoint_to_diffusers.py
- convert_original_audioldm2_to_diffusers.py
- convert_original_audioldm_to_diffusers.py
- convert_original_controlnet_to_diffusers.py
- convert_original_musicldm_to_diffusers.py
- convert_original_stable_diffusion_to_diffusers.py
- convert_original_t2i_adapter.py
- convert_pixart_alpha_to_diffusers.py
- convert_shap_e_to_diffusers.py
- convert_stable_diffusion_checkpoint_to_onnx.py
- convert_stable_diffusion_controlnet_to_onnx.py
- convert_stable_diffusion_controlnet_to_tensorrt.py
- convert_tiny_autoencoder_to_diffusers.py
- convert_unclip_txt2img_to_image_variation.py
- convert_unidiffuser_to_diffusers.py
- convert_vae_diff_to_onnx.py
- convert_vae_pt_to_diffusers.py
- convert_versatile_diffusion_to_diffusers.py
- convert_vq_diffusion_to_diffusers.py
- convert_wuerstchen.py
- convert_zero123_to_diffusers.py
- generate_logits.py
- __init__.py
- diffusers_cli.py
- env.py
- fp16_safetensors.py
- __init__.py
- value_guided_sampling.py
- __init__.py
- README.md
- __init__.py
- ip_adapter.py
- lora.py
- single_file.py
- textual_inversion.py
- unet.py
- utils.py
- __init__.py
- activations.py
- adapter.py
- attention.py
- attention_flax.py
- attention_processor.py
- autoencoder_asym_kl.py
- autoencoder_kl.py
- autoencoder_tiny.py
- consistency_decoder_vae.py
- controlnet.py
- controlnet_flax.py
- dual_transformer_2d.py
- embeddings.py
- embeddings_flax.py
- lora.py
- modeling_flax_pytorch_utils.py
- modeling_flax_utils.py
- modeling_pytorch_flax_utils.py
- modeling_utils.py
- normalization.py
- prior_transformer.py
- README.md
- resnet.py
- resnet_flax.py
- t5_film_transformer.py
- transformer_2d.py
- transformer_temporal.py
- unet_1d.py
- unet_1d_blocks.py
- unet_2d.py
- unet_2d_blocks.py
- unet_2d_blocks_flax.py
- unet_2d_condition.py
- unet_2d_condition_flax.py
- unet_3d_blocks.py
- unet_3d_condition.py
- unet_motion_model.py
- vae.py
- vae_flax.py
- vq_model.py
- __init__.py
- modeling_roberta_series.py
- pipeline_alt_diffusion.py
- pipeline_alt_diffusion_img2img.py
- pipeline_output.py
- __init__.py
- pipeline_animatediff.py
- __init__.py
- mel.py
- pipeline_audio_diffusion.py
- __init__.py
- pipeline_audioldm.py
- __init__.py
- modeling_audioldm2.py
- pipeline_audioldm2.py
- __init__.py
- blip_image_processing.py
- modeling_blip2.py
- modeling_ctx_clip.py
- pipeline_blip_diffusion.py
- __init__.py
- pipeline_consistency_models.py
- __init__.py
- multicontrolnet.py
- pipeline_controlnet.py
- pipeline_controlnet_blip_diffusion.py
- pipeline_controlnet_img2img.py
- pipeline_controlnet_inpaint.py
- pipeline_controlnet_inpaint_sd_xl.py
- pipeline_controlnet_sd_xl.py
- pipeline_controlnet_sd_xl_img2img.py
- pipeline_flax_controlnet.py
- __init__.py
- pipeline_dance_diffusion.py
- __init__.py
- pipeline_ddim.py
- __init__.py
- pipeline_ddpm.py
- __init__.py
- pipeline_if.py
- pipeline_if_img2img.py
- pipeline_if_img2img_superresolution.py
- pipeline_if_inpainting.py
- pipeline_if_inpainting_superresolution.py
- pipeline_if_superresolution.py
- pipeline_output.py
- safety_checker.py
- timesteps.py
- watermark.py
- __init__.py
- pipeline_dit.py
- __init__.py
- pipeline_kandinsky.py
- pipeline_kandinsky_combined.py
- pipeline_kandinsky_img2img.py
- pipeline_kandinsky_inpaint.py
- pipeline_kandinsky_prior.py
- text_encoder.py
- __init__.py
- pipeline_kandinsky2_2.py
- pipeline_kandinsky2_2_combined.py
- pipeline_kandinsky2_2_controlnet.py
- pipeline_kandinsky2_2_controlnet_img2img.py
- pipeline_kandinsky2_2_img2img.py
- pipeline_kandinsky2_2_inpainting.py
- pipeline_kandinsky2_2_prior.py
- pipeline_kandinsky2_2_prior_emb2emb.py
- __init__.py
- pipeline_latent_consistency_img2img.py
- pipeline_latent_consistency_text2img.py
- __init__.py
- pipeline_latent_diffusion.py
- pipeline_latent_diffusion_superresolution.py
- __init__.py
- pipeline_latent_diffusion_uncond.py
- __init__.py
- pipeline_musicldm.py
- __init__.py
- image_encoder.py
- pipeline_paint_by_example.py
- __init__.py
- pipeline_pixart_alpha.py
- __init__.py
- pipeline_pndm.py
- __init__.py
- pipeline_repaint.py
- __init__.py
- pipeline_score_sde_ve.py
- __init__.py
- pipeline_output.py
- pipeline_semantic_stable_diffusion.py
- __init__.py
- camera.py
- pipeline_shap_e.py
- pipeline_shap_e_img2img.py
- renderer.py
- __init__.py
- continous_encoder.py
- midi_utils.py
- notes_encoder.py
- pipeline_spectrogram_diffusion.py
- __init__.py
- clip_image_project_model.py
- convert_from_ckpt.py
- pipeline_cycle_diffusion.py
- pipeline_flax_stable_diffusion.py
- pipeline_flax_stable_diffusion_img2img.py
- pipeline_flax_stable_diffusion_inpaint.py
- pipeline_onnx_stable_diffusion.py
- pipeline_onnx_stable_diffusion_img2img.py
- pipeline_onnx_stable_diffusion_inpaint.py
- pipeline_onnx_stable_diffusion_inpaint_legacy.py
- pipeline_onnx_stable_diffusion_upscale.py
- pipeline_output.py
- pipeline_stable_diffusion.py
- pipeline_stable_diffusion_attend_and_excite.py
- pipeline_stable_diffusion_depth2img.py
- pipeline_stable_diffusion_diffedit.py
- pipeline_stable_diffusion_gligen.py
- pipeline_stable_diffusion_gligen_text_image.py
- pipeline_stable_diffusion_image_variation.py
- pipeline_stable_diffusion_img2img.py
- pipeline_stable_diffusion_inpaint.py
- pipeline_stable_diffusion_inpaint_legacy.py
- pipeline_stable_diffusion_instruct_pix2pix.py
- pipeline_stable_diffusion_k_diffusion.py
- pipeline_stable_diffusion_latent_upscale.py
- pipeline_stable_diffusion_ldm3d.py
- pipeline_stable_diffusion_model_editing.py
- pipeline_stable_diffusion_panorama.py
- pipeline_stable_diffusion_paradigms.py
- pipeline_stable_diffusion_pix2pix_zero.py
- pipeline_stable_diffusion_sag.py
- pipeline_stable_diffusion_upscale.py
- pipeline_stable_unclip.py
- pipeline_stable_unclip_img2img.py
- README.md
- safety_checker.py
- safety_checker_flax.py
- stable_unclip_image_normalizer.py
- __init__.py
- pipeline_output.py
- pipeline_stable_diffusion_safe.py
- safety_checker.py
- __init__.py
- pipeline_flax_stable_diffusion_xl.py
- pipeline_output.py
- pipeline_stable_diffusion_xl.py
- pipeline_stable_diffusion_xl_img2img.py
- pipeline_stable_diffusion_xl_inpaint.py
- pipeline_stable_diffusion_xl_instruct_pix2pix.py
- watermark.py
- __init__.py
- pipeline_stochastic_karras_ve.py
- __init__.py
- pipeline_stable_diffusion_adapter.py
- pipeline_stable_diffusion_xl_adapter.py
- __init__.py
- pipeline_output.py
- pipeline_text_to_video_synth.py
- pipeline_text_to_video_synth_img2img.py
- pipeline_text_to_video_zero.py
- __init__.py
- pipeline_unclip.py
- pipeline_unclip_image_variation.py
- text_proj.py
- __init__.py
- modeling_text_decoder.py
- modeling_uvit.py
- pipeline_unidiffuser.py
- __init__.py
- modeling_text_unet.py
- pipeline_versatile_diffusion.py
- pipeline_versatile_diffusion_dual_guided.py
- pipeline_versatile_diffusion_image_variation.py
- pipeline_versatile_diffusion_text_to_image.py
- __init__.py
- pipeline_vq_diffusion.py
- __init__.py
- modeling_paella_vq_model.py
- modeling_wuerstchen_common.py
- modeling_wuerstchen_diffnext.py
- modeling_wuerstchen_prior.py
- pipeline_wuerstchen.py
- pipeline_wuerstchen_combined.py
- pipeline_wuerstchen_prior.py
- __init__.py
- auto_pipeline.py
- onnx_utils.py
- pipeline_flax_utils.py
- pipeline_utils.py
- README.md
- __init__.py
- README.md
- scheduling_consistency_decoder.py
- scheduling_consistency_models.py
- scheduling_ddim.py
- scheduling_ddim_flax.py
- scheduling_ddim_inverse.py
- scheduling_ddim_parallel.py
- scheduling_ddpm.py
- scheduling_ddpm_flax.py
- scheduling_ddpm_parallel.py
- scheduling_ddpm_wuerstchen.py
- scheduling_deis_multistep.py
- scheduling_dpmsolver_multistep.py
- scheduling_dpmsolver_multistep_flax.py
- scheduling_dpmsolver_multistep_inverse.py
- scheduling_dpmsolver_sde.py
- scheduling_dpmsolver_singlestep.py
- scheduling_euler_ancestral_discrete.py
- scheduling_euler_discrete.py
- scheduling_euler_discrete_flax.py
- scheduling_heun_discrete.py
- scheduling_ipndm.py
- scheduling_k_dpm_2_ancestral_discrete.py
- scheduling_k_dpm_2_discrete.py
- scheduling_karras_ve.py
- scheduling_karras_ve_flax.py
- scheduling_lcm.py
- scheduling_lms_discrete.py
- scheduling_lms_discrete_flax.py
- scheduling_pndm.py
- scheduling_pndm_flax.py
- scheduling_repaint.py
- scheduling_sde_ve.py
- scheduling_sde_ve_flax.py
- scheduling_sde_vp.py
- scheduling_unclip.py
- scheduling_unipc_multistep.py
- scheduling_utils.py
- scheduling_utils_flax.py
- scheduling_vq_diffusion.py
- __init__.py
- accelerate_utils.py
- constants.py
- deprecation_utils.py
- doc_utils.py
- dummy_flax_and_transformers_objects.py
- dummy_flax_objects.py
- dummy_note_seq_objects.py
- dummy_onnx_objects.py
- dummy_pt_objects.py
- dummy_torch_and_librosa_objects.py
- dummy_torch_and_scipy_objects.py
- dummy_torch_and_torchsde_objects.py
- dummy_torch_and_transformers_and_k_diffusion_objects.py
- dummy_torch_and_transformers_and_onnx_objects.py
- dummy_torch_and_transformers_objects.py
- dummy_transformers_and_torch_and_note_seq_objects.py
- dynamic_modules_utils.py
- export_utils.py
- hub_utils.py
- import_utils.py
- loading_utils.py
- logging.py
- model_card_template.md
- outputs.py
- peft_utils.py
- pil_utils.py
- state_dict_utils.py
- testing_utils.py
- torch_utils.py
- versions.py
- __init__.py
- configuration_utils.py
- dependency_versions_check.py
- dependency_versions_table.py
- image_processor.py
- optimization.py
- py.typed
- training_utils.py
- pipeline.py
- what_ever.py
- elise_format0.mid
- test_lora_layers_old_backend.py
- test_lora_layers_peft.py
- __init__.py
- test_activations.py
- test_attention_processor.py
- test_layers_utils.py
- test_modeling_common.py
- test_modeling_common_flax.py
- test_models_prior.py
- test_models_unet_1d.py
- test_models_unet_2d.py
- test_models_unet_2d_condition.py
- test_models_unet_2d_flax.py
- test_models_unet_3d_condition.py
- test_models_unet_motion.py
- test_models_vae.py
- test_models_vae_flax.py
- test_models_vq.py
- test_unet_2d_blocks.py
- test_unet_blocks_common.py
- test_check_copies.py
- test_check_dummies.py
- test_config.py
- test_dependencies.py
- test_ema.py
- test_hub_utils.py
- test_image_processor.py
- test_outputs.py
- test_training.py
- test_utils.py
- __init__.py
- test_alt_diffusion.py
- test_alt_diffusion_img2img.py
- __init__.py
- test_animatediff.py
- __init__.py
- test_audio_diffusion.py
- __init__.py
- test_audioldm.py
- __init__.py
- test_audioldm2.py
- __init__.py
- test_blipdiffusion.py
- __init__.py
- test_consistency_models.py
- __init__.py
- test_controlnet.py
- test_controlnet_blip_diffusion.py
- test_controlnet_img2img.py
- test_controlnet_inpaint.py
- test_controlnet_inpaint_sdxl.py
- test_controlnet_sdxl.py
- test_controlnet_sdxl_img2img.py
- test_flax_controlnet.py
- __init__.py
- test_dance_diffusion.py
- __init__.py
- test_ddim.py
- __init__.py
- test_ddpm.py
- __init__.py
- test_if.py
- test_if_img2img.py
- test_if_img2img_superresolution.py
- test_if_inpainting.py
- test_if_inpainting_superresolution.py
- test_if_superresolution.py
- __init__.py
- test_dit.py
- test_ip_adapter_stable_diffusion.py
- __init__.py
- test_kandinsky.py
- test_kandinsky_combined.py
- test_kandinsky_img2img.py
- test_kandinsky_inpaint.py
- test_kandinsky_prior.py
- __init__.py
- test_kandinsky.py
- test_kandinsky_combined.py
- test_kandinsky_controlnet.py
- test_kandinsky_controlnet_img2img.py
- test_kandinsky_img2img.py
- test_kandinsky_inpaint.py
- test_kandinsky_prior.py
- test_kandinsky_prior_emb2emb.py
- __init__.py
- test_karras_ve.py
- __init__.py
- test_latent_consistency_models.py
- test_latent_consistency_models_img2img.py
- __init__.py
- test_latent_diffusion.py
- test_latent_diffusion_superresolution.py
- test_latent_diffusion_uncond.py
- __init__.py
- test_musicldm.py
- __init__.py
- test_paint_by_example.py
- __init__.py
- test_pixart.py
- __init__.py
- test_pndm.py
- __init__.py
- test_repaint.py
- __init__.py
- test_score_sde_ve.py
- __init__.py
- test_semantic_diffusion.py
- __init__.py
- test_shap_e.py
- test_shap_e_img2img.py
- __init__.py
- test_spectrogram_diffusion.py
- __init__.py
- test_cycle_diffusion.py
- test_onnx_stable_diffusion.py
- test_onnx_stable_diffusion_img2img.py
- test_onnx_stable_diffusion_inpaint.py
- test_onnx_stable_diffusion_inpaint_legacy.py
- test_onnx_stable_diffusion_upscale.py
- test_stable_diffusion.py
- test_stable_diffusion_adapter.py
- test_stable_diffusion_gligen.py
- test_stable_diffusion_gligen_text_image.py
- test_stable_diffusion_image_variation.py
- test_stable_diffusion_img2img.py
- test_stable_diffusion_inpaint.py
- test_stable_diffusion_inpaint_legacy.py
- test_stable_diffusion_instruction_pix2pix.py
- test_stable_diffusion_k_diffusion.py
- test_stable_diffusion_ldm3d.py
- test_stable_diffusion_model_editing.py
- test_stable_diffusion_panorama.py
- test_stable_diffusion_paradigms.py
- test_stable_diffusion_pix2pix_zero.py
- test_stable_diffusion_sag.py
- __init__.py
- test_stable_diffusion.py
- test_stable_diffusion_attend_and_excite.py
- test_stable_diffusion_depth.py
- test_stable_diffusion_diffedit.py
- test_stable_diffusion_flax.py
- test_stable_diffusion_flax_inpaint.py
- test_stable_diffusion_inpaint.py
- test_stable_diffusion_latent_upscale.py
- test_stable_diffusion_upscale.py
- test_stable_diffusion_v_pred.py
- __init__.py
- test_safe_diffusion.py
- __init__.py
- test_stable_diffusion_xl.py
- test_stable_diffusion_xl_adapter.py
- test_stable_diffusion_xl_img2img.py
- test_stable_diffusion_xl_inpaint.py
- test_stable_diffusion_xl_instruction_pix2pix.py
- __init__.py
- test_stable_unclip.py
- test_stable_unclip_img2img.py
- __init__.py
- test_text_to_video.py
- test_text_to_video_zero.py
- test_video_to_video.py
- __init__.py
- test_unclip.py
- test_unclip_image_variation.py
- __init__.py
- test_unidiffuser.py
- __init__.py
- test_versatile_diffusion_dual_guided.py
- test_versatile_diffusion_image_variation.py
- test_versatile_diffusion_mega.py
- test_versatile_diffusion_text_to_image.py
- __init__.py
- test_vq_diffusion.py
- __init__.py
- test_wuerstchen_combined.py
- test_wuerstchen_decoder.py
- test_wuerstchen_prior.py
- __init__.py
- pipeline_params.py
- test_pipeline_utils.py
- test_pipelines.py
- test_pipelines_auto.py
- test_pipelines_combined.py
- test_pipelines_common.py
- test_pipelines_flax.py
- test_pipelines_onnx_common.py
- __init__.py
- test_scheduler_consistency_model.py
- test_scheduler_ddim.py
- test_scheduler_ddim_inverse.py
- test_scheduler_ddim_parallel.py
- test_scheduler_ddpm.py
- test_scheduler_ddpm_parallel.py
- test_scheduler_deis.py
- test_scheduler_dpm_multi.py
- test_scheduler_dpm_multi_inverse.py
- test_scheduler_dpm_sde.py
- test_scheduler_dpm_single.py
- test_scheduler_euler.py
- test_scheduler_euler_ancestral.py
- test_scheduler_flax.py
- test_scheduler_heun.py
- test_scheduler_ipndm.py
- test_scheduler_kdpm2_ancestral.py
- test_scheduler_kdpm2_discrete.py
- test_scheduler_lcm.py
- test_scheduler_lms.py
- test_scheduler_pndm.py
- test_scheduler_score_sde_ve.py
- test_scheduler_unclip.py
- test_scheduler_unipc.py
- test_scheduler_vq_diffusion.py
- test_schedulers.py
- __init__.py
- conftest.py
- check_config_docstrings.py
- check_copies.py
- check_doc_toc.py
- check_dummies.py
- check_inits.py
- check_repo.py
- check_table.py
- custom_init_isort.py
- fetch_torch_cuda_pipeline_test_matrix.py
- get_modified_files.py
- overwrite_expected_slice.py
- print_env.py
- release.py
- stale.py
- tests_fetcher.py
- .gitignore
- _typos.toml
- CITATION.cff
- CODE_OF_CONDUCT.md
- CONTRIBUTING.md
- LICENSE
- Makefile
- MANIFEST.in
- PHILOSOPHY.md
- pyproject.toml
- README.md
- setup.py
# 설치 가이드
1. 코드 내려받기
git clone https://github.com/BraveGroup/Drive-WM
깃허브에서 프로젝트 코드 전체를 내 컴퓨터로 내려받습니다.
cd Drive-WM
방금 내려받은 프로젝트 폴더 안으로 이동합니다.
2. Docker
쉬움 추천사전 준비물
- Git GitHub에서 프로젝트 코드를 내려받으려면 필요합니다.
- Docker Desktop 컨테이너를 빌드하고 실행하려면 필요합니다. 설치 후 실행해서 백그라운드에 켜두세요.
⚠️ 이 프로젝트는 규모가 큰 저장소라, 이 방법이 실제 핵심 제품이 아니라 내부 하위 패키지를 가리키는 것일 수 있습니다. README 전체를 함께 확인해보세요.
docker build -f docker/diffusers-flax-cpu/Dockerfile -t drive-wm .
Dockerfile을 기반으로 실행 가능한 이미지를 빌드합니다.
docker run -p 8080:80 drive-wm
빌드된 이미지를 실제 컨테이너로 실행합니다.
터미널에 docker compose ps 를 입력해 컨테이너들이 Up 상태인지 확인하세요. README에 포트 번호가 적혀있다면 브라우저에서 http://localhost:포트번호 로 접속해보세요.
3. Python
쉬움사전 준비물
pip install .
PyPI에 배포된 패키지를 바로 설치합니다. 소스 클론이 필요 없습니다.
python <실행할 파일명>.py # README에서 정확한 실행 파일명을 확인하세요
파이썬 스크립트(또는 모듈)를 실행합니다.
에러 메시지 없이 실행되고 터미널에 안내 문구가 출력되면 정상입니다.
4. Make
보통사전 준비물
- Git GitHub에서 프로젝트 코드를 내려받으려면 필요합니다.
- Make Linux/macOS는 보통 기본 설치되어 있습니다. Windows는 별도 설치(예: MSYS2, WSL)가 필요합니다.
make
생성된 빌드 설정을 바탕으로 실제 컴파일을 진행해 실행 파일을 만듭니다.
에러 없이 끝나면 성공입니다. 생성된 실행 파일을 직접 실행해보세요.
// repository documentation
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