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pipeline.yaml

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+distilabel:
+  version: 1.4.0
+pipeline:
+  name: image_generation_pipeline
+  description: null
+  steps:
+  - step:
+      name: load_data
+      resources:
+        replicas: 1
+        cpus: null
+        gpus: null
+        memory: null
+        resources: null
+      input_mappings: {}
+      output_mappings: {}
+      batch_size: 50
+      repo_id: fal/imgsys-results
+      split: train
+      config: null
+      revision: null
+      streaming: false
+      num_examples: 2
+      storage_options: null
+      runtime_parameters_info:
+      - name: resources
+        runtime_parameters_info:
+        - name: replicas
+          optional: true
+          description: The number of replicas for the step.
+        - name: cpus
+          optional: true
+          description: The number of CPUs assigned to each step replica.
+        - name: gpus
+          optional: true
+          description: The number of GPUs assigned to each step replica.
+        - name: memory
+          optional: true
+          description: The memory in bytes required for each step replica.
+        - name: resources
+          optional: true
+          description: A dictionary containing names of custom resources and the number
+            of those resources required for each step replica.
+      - name: batch_size
+        optional: true
+        description: The number of rows that will contain the batches generated by
+          the step.
+      - name: repo_id
+        optional: false
+        description: The Hugging Face Hub repository ID of the dataset to load.
+      - name: split
+        optional: true
+        description: The split of the dataset to load. Defaults to 'train'.
+      - name: config
+        optional: true
+        description: The configuration of the dataset to load. This is optional and
+          only needed if the dataset has multiple configurations.
+      - name: revision
+        optional: true
+        description: The revision of the dataset to load. Defaults to the latest revision.
+      - name: streaming
+        optional: true
+        description: Whether to load the dataset in streaming mode or not. Defaults
+          to False.
+      - name: num_examples
+        optional: true
+        description: The number of examples to load from the dataset. By default will
+          load all examples.
+      type_info:
+        module: distilabel.steps.generators.huggingface
+        name: LoadDataFromHub
+    name: load_data
+  - step:
+      name: flux
+      resources:
+        replicas: 1
+        cpus: null
+        gpus: null
+        memory: null
+        resources: null
+      input_mappings: {}
+      output_mappings: {}
+      input_batch_size: 50
+      llm:
+        use_magpie_template: false
+        magpie_pre_query_template: null
+        generation_kwargs: {}
+        use_offline_batch_generation: false
+        offline_batch_generation_block_until_done: null
+        jobs_ids: null
+        model_id: black-forest-labs/FLUX.1-schnell
+        endpoint_name: null
+        endpoint_namespace: null
+        base_url: null
+        tokenizer_id: null
+        model_display_name: null
+        structured_output: null
+        type_info:
+          module: __main__
+          name: InferenceEndpointsImageLLM
+      group_generations: false
+      add_raw_output: true
+      add_raw_input: true
+      num_generations: 1
+      use_default_structured_output: false
+      runtime_parameters_info:
+      - name: resources
+        runtime_parameters_info:
+        - name: replicas
+          optional: true
+          description: The number of replicas for the step.
+        - name: cpus
+          optional: true
+          description: The number of CPUs assigned to each step replica.
+        - name: gpus
+          optional: true
+          description: The number of GPUs assigned to each step replica.
+        - name: memory
+          optional: true
+          description: The memory in bytes required for each step replica.
+        - name: resources
+          optional: true
+          description: A dictionary containing names of custom resources and the number
+            of those resources required for each step replica.
+      - name: input_batch_size
+        optional: true
+        description: The number of rows that will contain the batches processed by
+          the step.
+      - name: llm
+        runtime_parameters_info:
+        - name: generation_kwargs
+          description: The kwargs to be propagated to either `generate` or `agenerate`
+            methods within each `LLM`.
+          keys: []
+        - name: use_offline_batch_generation
+          optional: true
+          description: Whether to use the `offline_batch_generate` method to generate
+            the responses.
+        - name: offline_batch_generation_block_until_done
+          optional: true
+          description: If provided, then polling will be done until the `ofline_batch_generate`
+            method is able to retrieve the results. The value indicate the time to
+            wait between each polling.
+        - name: endpoint_name
+          optional: true
+          description: The name of the Inference Endpoint to use for the LLM.
+        - name: endpoint_namespace
+          optional: true
+          description: The namespace of the Inference Endpoint to use for the LLM.
+        - name: base_url
+          optional: true
+          description: The base URL to use for the Inference Endpoints API requests.
+        - name: api_key
+          optional: true
+          description: The API key to authenticate the requests to the Inference Endpoints
+            API.
+        - name: structured_output
+          optional: true
+          description: The structured output format to use across all the generations.
+      - name: add_raw_output
+        optional: true
+        description: Whether to include the raw output of the LLM in the key `raw_output_<TASK_NAME>`
+          of the `distilabel_metadata` dictionary output column
+      - name: add_raw_input
+        optional: true
+        description: Whether to include the raw input of the LLM in the key `raw_input_<TASK_NAME>`
+          of the `distilabel_metadata` dictionary column
+      - name: num_generations
+        optional: true
+        description: The number of generations to be produced per input.
+      type_info:
+        module: __main__
+        name: ImageGeneration
+    name: flux
+  - step:
+      name: sdxl
+      resources:
+        replicas: 1
+        cpus: null
+        gpus: null
+        memory: null
+        resources: null
+      input_mappings: {}
+      output_mappings: {}
+      input_batch_size: 50
+      llm:
+        use_magpie_template: false
+        magpie_pre_query_template: null
+        generation_kwargs: {}
+        use_offline_batch_generation: false
+        offline_batch_generation_block_until_done: null
+        jobs_ids: null
+        model_id: stabilityai/stable-diffusion-xl-base-1.0
+        endpoint_name: null
+        endpoint_namespace: null
+        base_url: null
+        tokenizer_id: null
+        model_display_name: null
+        structured_output: null
+        type_info:
+          module: __main__
+          name: InferenceEndpointsImageLLM
+      group_generations: false
+      add_raw_output: true
+      add_raw_input: true
+      num_generations: 1
+      use_default_structured_output: false
+      runtime_parameters_info:
+      - name: resources
+        runtime_parameters_info:
+        - name: replicas
+          optional: true
+          description: The number of replicas for the step.
+        - name: cpus
+          optional: true
+          description: The number of CPUs assigned to each step replica.
+        - name: gpus
+          optional: true
+          description: The number of GPUs assigned to each step replica.
+        - name: memory
+          optional: true
+          description: The memory in bytes required for each step replica.
+        - name: resources
+          optional: true
+          description: A dictionary containing names of custom resources and the number
+            of those resources required for each step replica.
+      - name: input_batch_size
+        optional: true
+        description: The number of rows that will contain the batches processed by
+          the step.
+      - name: llm
+        runtime_parameters_info:
+        - name: generation_kwargs
+          description: The kwargs to be propagated to either `generate` or `agenerate`
+            methods within each `LLM`.
+          keys: []
+        - name: use_offline_batch_generation
+          optional: true
+          description: Whether to use the `offline_batch_generate` method to generate
+            the responses.
+        - name: offline_batch_generation_block_until_done
+          optional: true
+          description: If provided, then polling will be done until the `ofline_batch_generate`
+            method is able to retrieve the results. The value indicate the time to
+            wait between each polling.
+        - name: endpoint_name
+          optional: true
+          description: The name of the Inference Endpoint to use for the LLM.
+        - name: endpoint_namespace
+          optional: true
+          description: The namespace of the Inference Endpoint to use for the LLM.
+        - name: base_url
+          optional: true
+          description: The base URL to use for the Inference Endpoints API requests.
+        - name: api_key
+          optional: true
+          description: The API key to authenticate the requests to the Inference Endpoints
+            API.
+        - name: structured_output
+          optional: true
+          description: The structured output format to use across all the generations.
+      - name: add_raw_output
+        optional: true
+        description: Whether to include the raw output of the LLM in the key `raw_output_<TASK_NAME>`
+          of the `distilabel_metadata` dictionary output column
+      - name: add_raw_input
+        optional: true
+        description: Whether to include the raw input of the LLM in the key `raw_input_<TASK_NAME>`
+          of the `distilabel_metadata` dictionary column
+      - name: num_generations
+        optional: true
+        description: The number of generations to be produced per input.
+      type_info:
+        module: __main__
+        name: ImageGeneration
+    name: sdxl
+  - step:
+      name: flux_task_2
+      resources:
+        replicas: 1
+        cpus: null
+        gpus: null
+        memory: null
+        resources: null
+      input_mappings: {}
+      output_mappings: {}
+      input_batch_size: 50
+      llm:
+        use_magpie_template: false
+        magpie_pre_query_template: null
+        generation_kwargs: {}
+        use_offline_batch_generation: false
+        offline_batch_generation_block_until_done: null
+        jobs_ids: null
+        model_id: black-forest-labs/FLUX.1-schnell
+        endpoint_name: null
+        endpoint_namespace: null
+        base_url: null
+        tokenizer_id: null
+        model_display_name: null
+        structured_output: null
+        type_info:
+          module: __main__
+          name: InferenceEndpointsImageLLM
+      group_generations: false
+      add_raw_output: true
+      add_raw_input: true
+      num_generations: 1
+      use_default_structured_output: false
+      runtime_parameters_info:
+      - name: resources
+        runtime_parameters_info:
+        - name: replicas
+          optional: true
+          description: The number of replicas for the step.
+        - name: cpus
+          optional: true
+          description: The number of CPUs assigned to each step replica.
+        - name: gpus
+          optional: true
+          description: The number of GPUs assigned to each step replica.
+        - name: memory
+          optional: true
+          description: The memory in bytes required for each step replica.
+        - name: resources
+          optional: true
+          description: A dictionary containing names of custom resources and the number
+            of those resources required for each step replica.
+      - name: input_batch_size
+        optional: true
+        description: The number of rows that will contain the batches processed by
+          the step.
+      - name: llm
+        runtime_parameters_info:
+        - name: generation_kwargs
+          description: The kwargs to be propagated to either `generate` or `agenerate`
+            methods within each `LLM`.
+          keys: []
+        - name: use_offline_batch_generation
+          optional: true
+          description: Whether to use the `offline_batch_generate` method to generate
+            the responses.
+        - name: offline_batch_generation_block_until_done
+          optional: true
+          description: If provided, then polling will be done until the `ofline_batch_generate`
+            method is able to retrieve the results. The value indicate the time to
+            wait between each polling.
+        - name: endpoint_name
+          optional: true
+          description: The name of the Inference Endpoint to use for the LLM.
+        - name: endpoint_namespace
+          optional: true
+          description: The namespace of the Inference Endpoint to use for the LLM.
+        - name: base_url
+          optional: true
+          description: The base URL to use for the Inference Endpoints API requests.
+        - name: api_key
+          optional: true
+          description: The API key to authenticate the requests to the Inference Endpoints
+            API.
+        - name: structured_output
+          optional: true
+          description: The structured output format to use across all the generations.
+      - name: add_raw_output
+        optional: true
+        description: Whether to include the raw output of the LLM in the key `raw_output_<TASK_NAME>`
+          of the `distilabel_metadata` dictionary output column
+      - name: add_raw_input
+        optional: true
+        description: Whether to include the raw input of the LLM in the key `raw_input_<TASK_NAME>`
+          of the `distilabel_metadata` dictionary column
+      - name: num_generations
+        optional: true
+        description: The number of generations to be produced per input.
+      type_info:
+        module: __main__
+        name: ImageGeneration
+    name: flux_task_2
+  - step:
+      name: group_columns_0
+      resources:
+        replicas: 1
+        cpus: null
+        gpus: null
+        memory: null
+        resources: null
+      input_mappings: {}
+      output_mappings: {}
+      input_batch_size: 50
+      columns:
+      - image
+      - model_name
+      output_columns:
+      - images
+      - models
+      runtime_parameters_info:
+      - name: resources
+        runtime_parameters_info:
+        - name: replicas
+          optional: true
+          description: The number of replicas for the step.
+        - name: cpus
+          optional: true
+          description: The number of CPUs assigned to each step replica.
+        - name: gpus
+          optional: true
+          description: The number of GPUs assigned to each step replica.
+        - name: memory
+          optional: true
+          description: The memory in bytes required for each step replica.
+        - name: resources
+          optional: true
+          description: A dictionary containing names of custom resources and the number
+            of those resources required for each step replica.
+      - name: input_batch_size
+        optional: true
+        description: The number of rows that will contain the batches processed by
+          the step.
+      type_info:
+        module: distilabel.steps.columns.group
+        name: GroupColumns
+    name: group_columns_0
+  - step:
+      name: keep_columns_0
+      resources:
+        replicas: 1
+        cpus: null
+        gpus: null
+        memory: null
+        resources: null
+      input_mappings: {}
+      output_mappings: {}
+      input_batch_size: 50
+      columns:
+      - prompt
+      - models
+      - images
+      runtime_parameters_info:
+      - name: resources
+        runtime_parameters_info:
+        - name: replicas
+          optional: true
+          description: The number of replicas for the step.
+        - name: cpus
+          optional: true
+          description: The number of CPUs assigned to each step replica.
+        - name: gpus
+          optional: true
+          description: The number of GPUs assigned to each step replica.
+        - name: memory
+          optional: true
+          description: The memory in bytes required for each step replica.
+        - name: resources
+          optional: true
+          description: A dictionary containing names of custom resources and the number
+            of those resources required for each step replica.
+      - name: input_batch_size
+        optional: true
+        description: The number of rows that will contain the batches processed by
+          the step.
+      type_info:
+        module: distilabel.steps.columns.keep
+        name: KeepColumns
+    name: keep_columns_0
+  connections:
+  - from: load_data
+    to:
+    - flux
+    - sdxl
+    - flux_task_2
+  - from: flux
+    to:
+    - group_columns_0
+  - from: sdxl
+    to:
+    - group_columns_0
+  - from: flux_task_2
+    to:
+    - group_columns_0
+  - from: group_columns_0
+    to:
+    - keep_columns_0
+  - from: keep_columns_0
+    to: []
+  routing_batch_functions: []
+  type_info:
+    module: distilabel.pipeline.local
+    name: Pipeline
+requirements: []