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ci: regenerated with OpenAPI Doc , Speakeasy CLI 1.401.2 (#14)
Co-authored-by: speakeasybot <[email protected]>
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‎.speakeasy/gen.lock‎

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lockVersion: 2.0.0
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id: 2d5dbf5a-62be-411a-9c7b-bc7b6dc79e13
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management:
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docChecksum: 5649b2692e9b9f3c1065851a47fbba06
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docChecksum: 4a28bceb165adf1c1dd97bbc8fe41a27
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docVersion: v0.5.0
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speakeasyVersion: 1.398.1
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generationVersion: 2.415.8
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releaseVersion: 0.5.0
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configChecksum: 74c903afbd3de4d466f136bacf3525cd
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speakeasyVersion: 1.401.2
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generationVersion: 2.421.3
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releaseVersion: 0.5.1
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configChecksum: 57016dfe6f67d305306547b9aa2c1601
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repoURL: https://github.com/livepeer/livepeer-ai-python.git
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installationURL: https://github.com/livepeer/livepeer-ai-python.git
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published: true
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features:
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python:
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additionalDependencies: 1.0.0
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constsAndDefaults: 1.0.2
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core: 5.5.3
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constsAndDefaults: 1.0.3
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core: 5.5.4
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defaultEnabledRetries: 0.2.0
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envVarSecurityUsage: 0.3.1
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globalSecurity: 3.0.2

‎.speakeasy/gen.yaml‎

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auth:
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oAuth2ClientCredentialsEnabled: true
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python:
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version: 0.5.0
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version: 0.5.1
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additionalDependencies:
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dev: {}
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main: {}

‎.speakeasy/workflow.lock‎

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speakeasyVersion: 1.398.1
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speakeasyVersion: 1.401.2
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sources:
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livepeer_ai-OAS:
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sourceNamespace: livepeer-ai-oas
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sourceRevisionDigest: sha256:e610910470934c60c9a9003e4d7b811585eaf6857e8cf50ae53a779738a3eba2
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sourceBlobDigest: sha256:84962d1cdd2b3ec311a1e3de4848a560478cefda5b3038810a518281c8032152
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sourceRevisionDigest: sha256:4f6e897095eeeb8d23e6ecc1421334cf273ffd96b45a1e6e79bf04b39d5ce543
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sourceBlobDigest: sha256:ffdfa01671cab29ecdb8b014925f080497ace7616108fe5a4b9153cc0e562f93
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tags:
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- latest
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- main
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livepeer-ai-python:
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source: livepeer_ai-OAS
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sourceNamespace: livepeer-ai-oas
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sourceRevisionDigest: sha256:e610910470934c60c9a9003e4d7b811585eaf6857e8cf50ae53a779738a3eba2
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sourceBlobDigest: sha256:84962d1cdd2b3ec311a1e3de4848a560478cefda5b3038810a518281c8032152
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sourceRevisionDigest: sha256:4f6e897095eeeb8d23e6ecc1421334cf273ffd96b45a1e6e79bf04b39d5ce543
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sourceBlobDigest: sha256:ffdfa01671cab29ecdb8b014925f080497ace7616108fe5a4b9153cc0e562f93
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codeSamplesNamespace: code-samples-python-livepeer-python
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codeSamplesRevisionDigest: sha256:ddcd8ce252c6f4d2c3159e8a844b3522b6d6eb28f25a56e166181e733beb0439
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codeSamplesRevisionDigest: sha256:196012791664b5a4437be3bf2d09ed1a3b6ee7bd83da508a3def8332836f5b31
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workflow:
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workflowVersion: 1.0.0
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speakeasyVersion: latest

‎RELEASES.md‎

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### Generated
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- [python v0.5.0] .
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### Releases
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- [PyPI v0.5.0] https://pypi.org/project/livepeer-ai/0.5.0 - .
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- [PyPI v0.5.0] https://pypi.org/project/livepeer-ai/0.5.0 - .
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## 2024-09-23 00:22:56
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### Changes
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Based on:
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- OpenAPI Doc
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- Speakeasy CLI 1.401.2 (2.421.3) https://github.com/speakeasy-api/speakeasy
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### Generated
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- [python v0.5.1] .
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### Releases
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- [PyPI v0.5.1] https://pypi.org/project/livepeer-ai/0.5.1 - .

‎docs/models/components/bodygenimagetoimage.md‎

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‎docs/models/components/texttoimageparams.md‎

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## Fields
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| Field | Type | Required | Description |
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| ------------------------------------------------------------------------------------------------------------------------ | ------------------------------------------------------------------------------------------------------------------------ | ------------------------------------------------------------------------------------------------------------------------ | ------------------------------------------------------------------------------------------------------------------------ |
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| `prompt` | *str* | :heavy_check_mark: | Text prompt(s) to guide image generation. Separate multiple prompts with '\|' if supported by the model. |
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| `model_id` | *Optional[str]* | :heavy_minus_sign: | Hugging Face model ID used for image generation. |
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| `height` | *Optional[int]* | :heavy_minus_sign: | The height in pixels of the generated image. |
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| `width` | *Optional[int]* | :heavy_minus_sign: | The width in pixels of the generated image. |
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| `guidance_scale` | *Optional[float]* | :heavy_minus_sign: | Encourages model to generate images closely linked to the text prompt (higher values may reduce image quality). |
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| `negative_prompt` | *Optional[str]* | :heavy_minus_sign: | Text prompt(s) to guide what to exclude from image generation. Ignored if guidance_scale < 1. |
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| `safety_check` | *Optional[bool]* | :heavy_minus_sign: | Perform a safety check to estimate if generated images could be offensive or harmful. |
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| `seed` | *Optional[int]* | :heavy_minus_sign: | Seed for random number generation. |
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| `num_inference_steps` | *Optional[int]* | :heavy_minus_sign: | Number of denoising steps. More steps usually lead to higher quality images but slower inference. Modulated by strength. |
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| `num_images_per_prompt` | *Optional[int]* | :heavy_minus_sign: | Number of images to generate per prompt. |
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| Field | Type | Required | Description |
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| ---------------------------------------------------------------------------------------------------------------------------------------------------------------------- | ---------------------------------------------------------------------------------------------------------------------------------------------------------------------- | ---------------------------------------------------------------------------------------------------------------------------------------------------------------------- | ---------------------------------------------------------------------------------------------------------------------------------------------------------------------- |
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| `prompt` | *str* | :heavy_check_mark: | Text prompt(s) to guide image generation. Separate multiple prompts with '\|' if supported by the model. |
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| `model_id` | *Optional[str]* | :heavy_minus_sign: | Hugging Face model ID used for image generation. |
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| `loras` | *Optional[str]* | :heavy_minus_sign: | A LoRA (Low-Rank Adaptation) model and its corresponding weight for image generation. Example: { "latent-consistency/lcm-lora-sdxl": 1.0, "nerijs/pixel-art-xl": 1.2}. |
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| `height` | *Optional[int]* | :heavy_minus_sign: | The height in pixels of the generated image. |
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| `width` | *Optional[int]* | :heavy_minus_sign: | The width in pixels of the generated image. |
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| `guidance_scale` | *Optional[float]* | :heavy_minus_sign: | Encourages model to generate images closely linked to the text prompt (higher values may reduce image quality). |
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| `negative_prompt` | *Optional[str]* | :heavy_minus_sign: | Text prompt(s) to guide what to exclude from image generation. Ignored if guidance_scale < 1. |
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| `safety_check` | *Optional[bool]* | :heavy_minus_sign: | Perform a safety check to estimate if generated images could be offensive or harmful. |
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| `seed` | *Optional[int]* | :heavy_minus_sign: | Seed for random number generation. |
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| `num_inference_steps` | *Optional[int]* | :heavy_minus_sign: | Number of denoising steps. More steps usually lead to higher quality images but slower inference. Modulated by strength. |
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| `num_images_per_prompt` | *Optional[int]* | :heavy_minus_sign: | Number of images to generate per prompt. |

‎pyproject.toml‎

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[tool.poetry]
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name = "livepeer-ai"
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version = "0.5.0"
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version = "0.5.1"
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description = "Python Client SDK for the Livepeer AI API."
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authors = ["Speakeasy",]
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readme = "README-PYPI.md"

‎src/livepeer_ai/models/components/body_genimagetoimage.py‎

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r"""Uploaded image to modify with the pipeline."""
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model_id: NotRequired[str]
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r"""Hugging Face model ID used for image generation."""
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loras: NotRequired[str]
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r"""A LoRA (Low-Rank Adaptation) model and its corresponding weight for image generation. Example: { \"latent-consistency/lcm-lora-sdxl\": 1.0, \"nerijs/pixel-art-xl\": 1.2}."""
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strength: NotRequired[float]
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r"""Degree of transformation applied to the reference image (0 to 1)."""
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guidance_scale: NotRequired[float]
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model_id: Annotated[Optional[str], FieldMetadata(multipart=True)] = ""
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r"""Hugging Face model ID used for image generation."""
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loras: Annotated[Optional[str], FieldMetadata(multipart=True)] = ""
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r"""A LoRA (Low-Rank Adaptation) model and its corresponding weight for image generation. Example: { \"latent-consistency/lcm-lora-sdxl\": 1.0, \"nerijs/pixel-art-xl\": 1.2}."""
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strength: Annotated[Optional[float], FieldMetadata(multipart=True)] = 0.8
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r"""Degree of transformation applied to the reference image (0 to 1)."""
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‎src/livepeer_ai/models/components/texttoimageparams.py‎

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r"""Text prompt(s) to guide image generation. Separate multiple prompts with '|' if supported by the model."""
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model_id: NotRequired[str]
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r"""Hugging Face model ID used for image generation."""
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loras: NotRequired[str]
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r"""A LoRA (Low-Rank Adaptation) model and its corresponding weight for image generation. Example: { \"latent-consistency/lcm-lora-sdxl\": 1.0, \"nerijs/pixel-art-xl\": 1.2}."""
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r"""A LoRA (Low-Rank Adaptation) model and its corresponding weight for image generation. Example: { \"latent-consistency/lcm-lora-sdxl\": 1.0, \"nerijs/pixel-art-xl\": 1.2}."""
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height: Optional[int] = 576
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r"""The height in pixels of the generated image."""
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