3jzSSKrSSKrSSKrSSKJr SSKJrJr SSKJ r SSK J r J r J r JrJrJr SSKrSSKrSSKJrJr SSKJrJr SS KJr SS KJrJrJr SS K J!r! \"5(a\RD"\#5r$S r%"S S\5r&\"SS55r'\"SS55r(0S\)SSS._S\)SS._S\*SSS._S\*SS._S \*S!S._S"\*S#S$S._S%\*S&S'S._S(\RVS)S._S*\,\-S+S._S,\-S-S.S._S/\R\R\\,\R\R\-SS0S._S1\R^S2S._S3\R^S4S._S5\)S6S7S._S8\0\)\ 4S9S._S:SS:S;S<._S=\R\R\SS>S._\*S?S.\R\R\SS@S.\-SASBS.\-SCSDS.\-SCSES.\*SFSGS.\R^SSHS.\R^SSIS.\R^SJS.\R^SKS.\R^SSLS.\*S&SMS.\Rb\RdSNS.SO. Er3\,\R\R\SPS.\,\R\R\SQS.\R^SRS.\R^S:SSST.\R^S:SUST.\R^S:SVST.\R^S:SWST.\R^SXS.SY.r4\"SZS[55r5\"S\S]55r6S^r7S_r8SpS`jr9SqSajr:SqSbjr;SrScjrSfr?StSgjr@ShrASirBSj\,\C\)\,\54Sk\,\54SljrDSm\,\C\)\,\64Sk\,\64SnjrESk\0\)\ 44SojrFg)uN) OrderedDict) dataclassfield) UnionType)AnyLiteralTypeUnionget_args get_origin)InvalidSpecifier SpecifierSet) ConfigMixin FrozenDict)_is_single_file_path_or_url)DIFFUSERS_LOAD_ID_FIELDSis_torch_availablelogging)_is_package_availablea{model_description} ## Example Usage [TODO] ## Pipeline Architecture This modular pipeline is composed of the following blocks: {blocks_description} {trigger_inputs_section} ## Model Components {components_description} {configs_section} {io_specification_section} c \rSrSrSrSrSrg)InsertableDict;c[UR55nUVVs/sHupVXQ:wdM XV4PM nnnURX1U45 UR5 UR U5 U$s snnfN)listitemsinsertclearupdate)selfkeyvalueindexrkvs l/home/wildlama/miniconda3/lib/python3.13/site-packages/diffusers/modular_pipelines/modular_pipeline_utils.pyrInsertableDict.insert<sgTZZ\"%*6EDAQX!E6  U%L)  E 7s A.A.c U(dg/n[UR55Hunup4[U[5(aSURSUR S3nO1SUR RSUR R S3nURUS[U5SUS35 M S S RU5-S -$) NzInsertableDict()zz$>#?qAYAY@ZZ\] LLA3c$s)Bxj: ; 7& U(;;fDDN)r1r0 __qualname____firstlineno__rr8__static_attributes__r;r:r'rr;s  Er:rc\rSrSr%SrSr\S-\S'Sr\ S-\S'Sr \S-\S'Sr \ S-\S'\ "SSS 0S 9r\\\-S-\S '\ "S SS 0S 9r\S-\S '\ "SSS 0S 9r\S-\S'\ "SSS 0S 9r\S-\S'Sr\S\S'\ "SSS0S 9r\\\-S-\S'SrSrSr\S\S\S\4Sj5r\S\\4Sj5r\S\4Sj5r\S\S\\\S-44Sj5r S"S\ \\\4-S-S\4Sjjr!S\4S jr"S!r#g)# ComponentSpec`aSpecification for a pipeline component. A component can be created in two ways: 1. From scratch using __init__ with a config dict 2. using `from_pretrained` Attributes: name: Name of the component type_hint: Type of the component (e.g. UNet2DConditionModel) description: Optional description of the component config: Optional config dict for __init__ creation pretrained_model_name_or_path: Optional pretrained_model_name_or_path path for from_pretrained creation subfolder: Optional subfolder in pretrained_model_name_or_path variant: Optional variant in pretrained_model_name_or_path revision: Optional revision in pretrained_model_name_or_path default_creation_method: Preferred creation method - "from_config" or "from_pretrained" Nname type_hint descriptionconfigloadingT)defaultmetadatapretrained_model_name_or_path subfoldervariantrevisionfrom_pretrained) from_configrNdefault_creation_methodFrepocnURnUb&URc[RUSU5 ggg)NrI)rQrIobject __setattr__)r! repo_values r' __post_init__ComponentSpec.__post_init__s8YY  !d&H&H&P   t%Dj Q'Q !r:cZ[URURUR45$)z=Make ComponentSpec hashable, using load_id as the hash value.)hashrBload_idrPr!s r'__hash__ComponentSpec.__hash__s"TYY d.J.JKLLr:c[U[5(dgURUR:H=(a9 URUR:H=(a URUR:H$)z8Compare ComponentSpec objects based on name and load_id.F)r.r@rBrZrP)r!others r'__eq__ComponentSpec.__eq__sW%// II # N  - N,,0M0MM r: componentreturncz[US5(aURS:waSnO[U[RR 5(a [ S5e[U[5(a)[US5(d[RS5 SnO&[ SUSURRS 35eURn[U[5(aUS:Xa URnOS n[US5(a,URS:waURUR5nO0nU"S XXSS .UD6$) aCreate a ComponentSpec from a Component. Currently supports: - Components created with `ComponentSpec.load()` method - Components that are ConfigMixin subclasses but not nn.Modules (e.g. schedulers, guiders) Args: name: Name of the component component: Component object to create spec from Returns: ComponentSpec object Raises: ValueError: If component is not supported (e.g. nn.Module without load_id, non-ConfigMixin) _diffusers_load_idnullrNzeCannot create ComponentSpec from a nn.Module that was not created with `ComponentSpec.load()` method.z\Component was not created using `ComponentSpec`, defaulting to `from_config` creation methodrOz!Cannot create ComponentSpec from (z). 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Args: load_id: The load_id string to decode, format: "pretrained_model_name_or_path|subfolder|variant|revision" where None values are represented as "null" Returns: Dict mapping loading field names to their values. e.g. { "pretrained_model_name_or_path": "path/to/repo", "subfolder": "subfolder", "variant": "variant", "revision": "revision" } If a segment value is "null", it's replaced with None. Returns None if load_id is "null" (indicating component not created with `load` method). rfryN)rvdictfromkeyssplitr-len)rprZrvresultr{r6parts r'roComponentSpec.decode_load_idsy$++-~. f M c"!'GA3~&&48FNDa()(  r:c URb[UR[5(d [S5eU=(d UR=(d 0n[ UR[ 5(aURR"U40UD6nO[R"URR5Rn0nUR5HupgXd;dM XuU'M UR5HupgXd;dM XuU'M UR"S0UD6nSUl [US5(aURUlU$)z/Create component using from_config with config.z?`type_hint` is required when using from_config creation method.rfrEr;)rCr.r/rlrE issubclassrrOinspect signature__init__ parametersrrerh)r!rEkwargsrbsignature_params init_kwargsr%r&s r'createComponentSpec.create s >> !DNND)I)I^_ _,4;;," dnnk 2 2226DVDI&001H1HITT K (%&N' (%&N'55I'- $ 9h ' '#**DKr:c nUR5Vs0sHo"U;dM X!RU5_M nnUR5Vs0sHo"URU[X55_M nnURSS5nUc [ S5e[ U5nU(a%UR c[ SUR35eSSKJ n UR bG[UR [RRU45(dURSS5 UR c(UR"U40UDUD6nUR UlO?U(a[UR S 5O[UR S 5n U "U40UDUD6nXPlUR%5Hup['X U 5 M UR(UlU$s snfs snf![a n [ SURS U 35eSn A ff=f![a n [ SURS U 35eSn A ff=f) z%Load component using from_pretrained.rINz`pretrained_model_name_or_path` info is required when using `load` method (you can directly set it in `pretrained_model_name_or_path` field of the ComponentSpec or pass it as an argument)zW`type_hint` is required when loading a single file model but is missing for component: r) AutoModel torch_dtypezUnable to load z without `type_hint`: from_single_filerNz using load method: )rvpopgetrzrlrrCrB diffusersrrrirjrkrN Exceptionr2rIrsetattrrZre) r!rr"passed_loading_kwargs load_kwargsrIis_single_filerrbe load_methodr%r&s r'loadComponentSpec.load&s<BFATATAV hAV#agZg!5jjo!5AV hZ^ZmZmZopZoSV155c74;MNNZo p(38WY](^% ( 0N 55RS dnn4ijnjsjsitu  ( >> %j%((//[dIe.f.f JJ}d + >> ! Y%556SmWbmflm '00DN "(:;T^^->?   W'(E__X^_ .K*%%'DA DQ ('+|| $a!ip0 Y ?499+=STUSV!WXX Y W ?499+=QRSQT!UVV Ws@ GG %G/G H  H'HH H4H//H4)rErIrCr)$r1r0r<r=__doc__rBstr__annotations__rCr rDrErrrIrrKrLrMrPrrQrVr\r` classmethodrrrrvpropertyrZrrorrr>r;r:r'r@r@`s$D#*!Itd{!"Kt" $FJ $r;r:r'rr\s? I L"Kt"r:rpromptTz0The prompt or prompts to guide image generation.)rCrequiredrDnegative_promptz8The prompt or prompts not to guide the image generation.)rCrDmax_sequence_lengthiz,Maximum sequence length for prompt encoding.)rCrGrDheightz,The height in pixels of the generated image.widthz+The width in pixels of the generated image.num_inference_steps2zThe number of denoising steps.num_images_per_promptz,The number of images to generate per prompt. generatorz-Torch generator for deterministic generation.sigmasz(Custom sigmas for the denoising process.strengthg?z Strength for img2img/inpainting.imagezJReference image(s) for denoising. 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Can be generated from text_encoder step.zYimage latents used to guide the image generation. Can be generated from vae_encoder step.zNumber of prompts, the final batch size of model inputs should be batch_size * num_images_per_prompt. Can be generated in input step.z>The dtype of the model inputs, can be generated in input step.) padding_mask_crop control_imagecontrol_guidance_startcontrol_guidance_endcontrolnet_conditioning_scalelayers prompt_embedsprompt_embeds_masknegative_prompt_embedsnegative_prompt_embeds_mask image_latents batch_sizedtypezGenerated images.zThe generated videos.zDenoised latents.zThe prompt embeddings.)rCrrDzThe encoder attention mask.zThe negative prompt embeddings.z$The negative prompt embeddings mask.z-The latent representation of the input image.)imagesvideosrrrrrrc\rSrSr%SrSr\\S'Sr\ \S'Sr \ \S'Sr \ \S'S r \\S 'Sr\\S 'Sr\\\ 4\S 'S r\SS\S\SS4Sjj5rSrg) InputParami#z%Specification for an input parameter.NrBrCrGFrrJrDrrHchSURSUR(aSOSSURS3$)N<: roptionalz , default=>)rBrrGr[s r'r8InputParam.__repr__/s3499+Rdmm LJW[WcWcVddeffr: template_namenotercc U[;a[SUS35e[UR5nURSURSU55nU(aSU;aUSSUS3US'UR U5 U"SSU0UD6$)CCE }}V_%8%8%OP M_40? 0N/OrRVQWWX-YOM *y)0000r:r;r)r1r0r<r=rrBrrrCrrGrboolrDrrHrr8rrr>r;r:r'rr#s/D#IsGSHdKK#Hd38n#g1S11L11r:rc\rSrSr%Sr\\S'Sr\\S'Sr \\S'Sr \\S'Sr \ \\4\S 'S r \SS \S \S S4Sjj5rSrg) OutputParamiGz&Specification for an output parameter.rBNrCrJrDrrHcSURS[URS5(aURRO[ UR5S3$)Nrrr1r)rBrhrCr1rr[s r'r8OutputParam.__repr__QsI {"PZ8[8[T^^44adeiesesatuuv w r:rrrcc U[;a[SUS35e[UR5nURSURSU55nU(aSU;aUSSUS3US'UR U5 U"SSU0UD6$)rzOutputParam template for rrBrDrr,r;)OUTPUT_PARAM_TEMPLATESrlrurr rs r'rOutputParam.templateVs  6 68zRS S0?DDF }}V_%8%8%OP M_40? 0N/OrRVQWWX-YOM *y)0000r:r;r)r1r0r<r=rrrrCrrDrrHrr8rrr>r;r:r'rrGsh0 IIsKK#Hd38n# 1S11M11r:rc<UVs/sHoR(dMUPM nnUVs/sHoR(aMUPM nnSRSU55nSRSU55nUnU(aU(aUSU3OUnU$s snfs snf)a Format input parameters into a string representation, with required params first followed by optional ones. Args: inputs: list of input parameters with 'required' and 'name' attributes, and 'default' for optional params Returns: str: Formatted string of input parameters Example: >>> inputs = [ ... InputParam(name="prompt", required=True), ... InputParam(name="image", required=True), ... InputParam(name="guidance_scale", required=False, default=7.5), ... InputParam(name="num_inference_steps", required=False, default=50) ... ] >>> format_inputs_short(inputs) 'prompt, image, guidance_scale=7.5, num_inference_steps=50' r+c38# UHoRv M g7fr)rB.0params r' &format_inputs_short..~sE_EZZ_sc3V# UHoRSUR3v M! g7f)=N)rBrGrs r'rrs!Z/ |1U]]O?@ (>)B(CDE  2B(C'DEF &499V 8L8%;sFcU(dgSU-nSUS--nSUS--n/nSnSn URUUS35 UGHn U R[:waU"U R5OSn U RcU RbSU R3O U Rn UU S U S 3n [ U S 5(a5U R (d$U S - n U RbU S U R3- n U S- n U R(a6[R"SSU R5nU "XU5nU SUU3- n O U SUS3- n URU 5 GM SRU5$)aFormat a list of InputParam or OutputParam objects into a readable string representation. Args: params: list of InputParam or OutputParam objects to format header: Header text to use (e.g. "Args" or "Returns") indent_level: Number of spaces to indent each parameter line (default: 4) max_line_length: Maximum length for each line before wrapping (default: 115) Returns: A formatted string representing all parameters rJ rcN[U[5(d[U5[LaR[ U5Vs/sH+n[ US5(a UR O [U5PM- nnSRU5$[ US5(a UR $[U5$s snfNr1z | r.rr r r rhr1rr5rCt type_strss r' get_type_str#format_params..get_type_str i + +z)/D/MS[\eSfgSfawq*'='=3q6ISfIg::i( (%,Y %C%Cy!!WYWh2B"cUR5n/n/nSnUHnn[U5U(aSOS-nU(a8Xh-U:a0URSRU55 U/n[U5nMYURU5 Xh- nMp U(a URSRU55 SU3RU5$)zFWrap text while preserving markdown links and maintaining indentation.rrr r)rrr3r5) textindent max_lengthwordslines current_linecurrent_lengthword word_lengths r' wrap_text format_params..wrap_texts  Dd)Lqa@K >^+ ==,>%--!AAIT    66={EL]L]^D$THL 2k]<.9 9I 2k]*@A AI */2 99% &&r:c[USX5$)akFormat a list of InputParam objects into a readable string representation. Args: input_params: list of InputParam objects to format indent_level: Number of spaces to indent each parameter line (default: 4) max_line_length: Maximum length for each line before wrapping (default: 115) Returns: A formatted string representing all input parameters Inputsr4) input_paramsr*r+s r'format_input_paramsr9 s x OOr:c[USX5$)aoFormat a list of OutputParam objects into a readable string representation. Args: output_params: list of OutputParam objects to format indent_level: Number of spaces to indent each parameter line (default: 4) max_line_length: Maximum length for each line before wrapping (default: 115) Returns: A formatted string representing all output parameters Outputsr7) output_paramsr*r+s r'format_output_paramsr=s  < QQr:c@U(dgSnU(aSUS3/O/nUHnUR[:waU"UR5OSnURcURbSUR3O URnSUSUS3n[ US5(a6UR (d%US - nUR bUS UR S3- nUS - nUR(a UROS nUS U3- nURU5 M SRU5$)aWFormat a list of InputParam or OutputParam objects as a markdown bullet-point list. Suitable for model cards rendered on Hugging Face Hub. Args: params: list of InputParam or OutputParam objects to format header: Header text (e.g. "Inputs" or "Outputs") Returns: A formatted markdown string, or empty string if params is empty. rJcN[U[5(d[U5[LaR[ U5Vs/sH+n[ US5(a UR O [U5PM- nnSRU5$[ US5(a UR $[U5$s snfr r rs r'r,format_params_markdown..get_type_str5rrr"z:** z- `z` (`r$rr%z, defaults to `r,zNo description providedrr) rCrrBrrhrrGrDr3r5) r(r)rrrr0rBr1r2s r'format_params_markdownrA&s X %+r&  E49OOs4J<0PR+0::+=%BSBSB_E%%&'ejeoeo$tH:Q/ 5* % %enn  'I}}(u}}oQ?? S $)$5$5u  ;Tr$[  Y 99U r:cU(dgSU-nSUS--n/nURUS35 U(aURS5 [U5GH%upx[URS5(aURRO[ UR5n UUR SU S3n UR(aU SUR3- n /n UR5H-n [X5n U (dMU RU S U 35 M/ U (aU S S RU 5S 3- n URU 5 U(dMU[U5S - :dGMURS5 GM( SRU5$)aFormat a list of ComponentSpec objects into a readable string representation. Args: components: list of ComponentSpec objects to format indent_level: Number of spaces to indent each component line (default: 4) max_line_length: Maximum length for each line before wrapping (default: 115) add_empty_lines: Whether to add empty lines between components (default: True) Returns: A formatted string representing all components rJr rz Components:r1r#`)rrz [r+]rr) r3r-rhrCr1rrBrDrvrzr5r) componentsr*r+add_empty_linesr,component_indentformatted_componentsr6rb type_namecomponent_descloading_field_values field_name field_values r'format_componentsrNNs  $KlQ./;-{ ;<##B'"*- -4I4G4G,T,TI   ( (Z]^g^q^qZr --inn-=S 2N  9#8#8"9: :N "#224J!)8K{$++zl!K=,IJ5 499-A#B"C1E EN##N3 ?q3z?Q#66 ' ' +3.6 99) **r:cU(dgSU-nSUS--n/nURUS35 U(aURS5 [U5HupxUURSURS3n UR(aU SUR3- n URU 5 U(dM`U[ U5S- :dMtURS5 M S R U5$) aFormat a list of ConfigSpec objects into a readable string representation. Args: configs: list of ConfigSpec objects to format indent_level: Number of spaces to indent each config line (default: 4) max_line_length: Maximum length for each line before wrapping (default: 115) add_empty_lines: Whether to add empty lines between configs (default: True) Returns: A formatted string representing all configs rJr rzConfigs:z (default: r,rrr)r3r-rBrGrDrr5) configsr*r+rFr, config_indentformatted_configsr6rE config_descs r'format_configsrTs  $K.s"E_Qqc8_z - `z `: requires z*`: default (no additional inputs required)r)rr5r3) workflow_mapr workflow_nametrigger_inputsr%r&rrs r'format_workflowr^s # $E)5););)=% )7)=)=)?E)?11)?E "E_"EEJ LL5|J<H I LL5/YZ [ *> 99U Fs B,B,cSnU(a USUS3- nU(a>UR5RS5nSRSU55nXhS-- nU(a![U5S:a[ USSS 9n XiS-- nU(a![U5S:a[ USSS 9n XjS-- nU[ USS 9- nUS- nU[USS 9- nU$) a Generates a formatted documentation string describing the pipeline block's parameters and structure. Args: inputs: list of input parameters intermediate_inputs: list of intermediate input parameters outputs: list of output parameters description (str, *optional*): Description of the block class_name (str, *optional*): Name of the class to include in the documentation expected_components (list[ComponentSpec], *optional*): list of expected components expected_configs (list[ConfigSpec], *optional*): list of expected configurations Returns: str: A formatted string containing information about components, configs, call parameters, intermediate inputs/outputs, and final outputs. rJzclass  rc3H# UHnSUR5-v M g7f)z N)rstrip)rlines r'r"make_doc_string..s M*$ !5*s "rrFr*rF)r*)striprr5rrNrTr9r=) routputsrD class_nameexpected_componentsexpected_configsoutput desc_lines aligned_desccomponents_str configs_strs r'make_doc_stringrps0FF:,d++ &&(..t4 yy M* MM ''s#67!;*+>Q`ef6))C 01A5$%5AW\] && !&q99F fF "7;;F Mr:c ,Uc0nO+[U[5(d [S5e[U5nU(d0$0nUR 5Hup4[ U5upVU(d[ RUS35 U(ab[U5nUS:Xa[ RSUSUS 35 O3URUS S 9(d[ RUS US US35 XBU'M U$![an[SUSUS35UeSnAff=f)NzZRequirements must be provided as a dictionary mapping package names to version specifiers.zO was specified in the requirements but wasn't found in the current environment.zRequirement specifier 'z' for z is invalid.zN/Az Version of z2 could not be determined to validate requirement 'z '. Things might work unexpected.T) prereleasesz requirement 'z,' is not satisfied by the installed version z. Things might work unexpected.) r.rrl_normalize_requirementsrrrmrnrr contains) reqsnormalized_reqsfinalreq specified_ver req_availablereq_actual_ver specifiererrs r'_validate_requirementsr~sH |$%%l 2$7  E-335(=c(B%  NNcU"qr s  l(7 &!#&XYfXghHI''D'Ie>-8desdtuTU#c )6, L$ l #:=/PSuT`!abhkk ls C11 D;DDcx^^U(d0$[5mS[[[44UU4SjjmT"U5 T$)Nmappingc >UR5GHup[U[5(a T"U5 M%[U5R 5nU(d [ S5eUcSO[U5R 5nU(aUR S5(dSU3nTRU5nUb^U(d U(aUTU'OGU(a@U(a9XT:wa4[SR[SXT/555n[U5TU'GMUTU'GM g![a% [RSUSUSUS US 3 5 N._accumulate(sD IC$%%D!3x~~'H !LMM!\rs4y/@H 3 34M N Nz?&NN84M($+3Jx("xM4MB(4SXXfTMKd>e5f(g 03=/A 8,#+Jx =),,55(aU0RS65 [5U44S?jS@55(dU0RS85 OU0RS85 [7UR85n2SAUSBUSCU2SD3n3UU3U UUU)U*U0SE.$s snfs snnf![$a< URSUS35 URS5 URS 5 GMlf=fs sn!fs sn-f)Fas Generate model card content for a modular pipeline. This function creates a comprehensive model card with descriptions of the pipeline's architecture, components, configurations, inputs, and outputs. Args: blocks: The pipeline's blocks object containing all pipeline specifications Returns: Dict[str, Any]: A dictionary containing formatted content sections: - pipeline_name: Name of the pipeline - model_description: Overall description with pipeline type - blocks_description: Detailed architecture of blocks - components_description: List of required components - configs_section: Configuration parameters section - io_specification_section: Input/Output specification (per-workflow or unified) - trigger_inputs_section: Conditional execution information - tags: List of relevant tags for the model card Blocksz PipelinerDzA modular diffusion pipeline. sub_blocksNrJrrrz. **z** (`rCz - zNo blocks defined.riFrez Components: z. z No specific components required.zFNo specific components required. Components can be loaded dynamically.rjz Configs: z ## Configuration Parameters _workflow_maprz ## Workflow Input Specification z
z z%*Could not resolve workflow blocks.* z
)r)zNo additional inputs required.r6r;zNo specific inputs defined.zStandard pipeline outputs.z ## Input/Output Specification r`z## Input/Output Specification r]r+c3.# UH nSUS3v M g7frWr;rXs r'r6generate_modular_model_card_content..s.UATA1#QxATrZz~ ### Conditional Execution This pipeline contains blocks that are selected at runtime based on inputs: - **Trigger Inputs**: zmodular-diffusersr model_namec3,# UH nSU;v M g7f) inpaintingNr;rwfs r'rr";Nb|r!Nrc3,# UH nSU;v M g7f) image2imageNr;rs r'rr$s<^r}"^rzimage-to-imagec3,# UH nSU;v M g7f) controlnetNr;rs r'rr&rrrc3,# UH nSU;v M g7f) text2imageNr;rs r'rr(rrz text-to-imagec3,># UH oT;v M g7frr;rrtriggerss r'rr,s=&<H}&<)maskrc3,># UH oT;v M g7frr;rs r'rr.sA&@H}&@r)rrc3,># UH oT;v M g7frr;rs r'rr0sK&JH}&Jr)rcontrolnet_condc3,># UH oT;v M g7frr;rs r'rr2s[*ZQ=*Zr)rrrrupThis is a modular diffusion pipeline built with 🧨 Diffusers' modular pipeline framework. **Pipeline Type**: z **Description**: z This pipeline uses a z8-block architecture that can be customized and extended.) pipeline_namemodel_descriptionblocks_descriptioncomponents_descriptionconfigs_sectionio_specification_sectiontrigger_inputs_sectiontags)r2r1replacerzr-rrDrr3r5rNrfrTrrgsetkeys get_workflowrrrBrArhr]sortedranyrr)5blocksblocks_class_namerrDblocks_desc_partsrr6rBblock block_class block_descrrErnrrcrenumerated_linesrPrroconfigs_description has_workflowsr[r{blocks_outputsblocks_intermediateshared_outputswf_namer]trigger_input_namesworkflow_blocks wf_inputsr|trigger_paramsr all_inputs all_outputs outputs_strinputs_descriptionoutputs_descriptionrrrrgrtrigger_inputs_listtrigger_inputs_strrworkflow_names block_countrrs5 @r'#generate_modular_model_card_contentrs*((11%--h DM&-1PQKt4:J )**:*:*< = A}//22K=DUM[]=^=^**006q9dfJ  $ $Awd4&k]"%M Nz!((5 )=> !>:K#45Pd!6;J*:AW\]!/!7!7!L!R!R!T !.D.J.J4.Pa.PdT^T^T`\TZZ\.PEaBKEBRSBRwq1q5'D6 2BR S%)YY/?%@ "%G "!if0"5GO$W1eT )11,CIIK  CDWCXYOFOT:$FM++  %f.DdK1=.TgBgNmq   89(4'9'9'; #G^"%n&9&9&;"<  "("5"5g">(..I)2TAaff@S6SaNT LL7y@UV W/tLJ LLz7W X LL  LL ()(<.]] (6(Bn +JA ,[)D +5Z;X-8k>Z :;M:NdSfRghi#'99U#3 !#..+FH= ,Wi@ +5Z;X-8k>Z%FGYFZZ^_r^s#t !# 6+ , ,1F1F"(V5J5J)\5Ja!5J)\"] "%)YY.UAT.U%U".**+ *&  -Dv|$$):): F%%&V116689 ;N; ; ; KK % <^< < < KK( ) ;N; ; ; KK % ;N; ; ; KK ( ) * *v/D/D(( =&<= = = KK % A&@A A A KK( ) K&JK K K KK %[*Z[[[ KK ( O$f''(K%&'!]"Z ^'.0"8*$<"8  GbSJ  ;G9DYZ[ EF ^,  UH*]s=0Z5 Z50Z:9[\ 2\ \\A\\)Argsrs)rr)r6)rrT)rJNNN)Grr&r collectionsr dataclassesrrtypesrtypingrrr r r r PIL.ImagePILripackaging.specifiersr rconfiguration_utilsrrloaders.single_file_utilsrutilsrrrutils.import_utilsr get_loggerr1rmMODULAR_MODEL_CARD_TEMPLATErr@rrint GeneratorrfloatImageTensorrrfloat32rrrrrrr4r9r=rArNrTr^rpr~rstuplerrrr;r:r'rs* #(BB ?9CII6   H %(E[EJ xx xv ## #O IO Q OEO EO& D'O.7/O8E9OB__FCOJ %[AKOR9SO\ YY__tCIIOO'<<c]Of\\JgOn\\=oOv:wO@#s(^DAOH.tIOTYY__3UO`A YY__C ; : ;& C\\u \\_ \\~ \\h$ \\r _ [[==WUOf#))//** #))//*. \\* \\./ \\.4 \\.8 \\.=$ \\FE&R  1 1  1F  1 1  1F:/9dM'` P R%P4+n#(L6 5p$N)X((tE#tJ7G2G,H'I((dS]N^((V(eCk9J4J.K)L(QUVaQb(.y4S>yr: