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ci: regenerated with OpenAPI Doc , Speakeasy CLI 1.401.2 (#14)
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Co-authored-by: speakeasybot <[email protected]>
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github-actions[bot] and speakeasybot authored Sep 23, 2024
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14 changes: 7 additions & 7 deletions .speakeasy/gen.lock
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lockVersion: 2.0.0
id: 2d5dbf5a-62be-411a-9c7b-bc7b6dc79e13
management:
docChecksum: 5649b2692e9b9f3c1065851a47fbba06
docChecksum: 4a28bceb165adf1c1dd97bbc8fe41a27
docVersion: v0.5.0
speakeasyVersion: 1.398.1
generationVersion: 2.415.8
releaseVersion: 0.5.0
configChecksum: 74c903afbd3de4d466f136bacf3525cd
speakeasyVersion: 1.401.2
generationVersion: 2.421.3
releaseVersion: 0.5.1
configChecksum: 57016dfe6f67d305306547b9aa2c1601
repoURL: https://github.com/livepeer/livepeer-ai-python.git
installationURL: https://github.com/livepeer/livepeer-ai-python.git
published: true
features:
python:
additionalDependencies: 1.0.0
constsAndDefaults: 1.0.2
core: 5.5.3
constsAndDefaults: 1.0.3
core: 5.5.4
defaultEnabledRetries: 0.2.0
envVarSecurityUsage: 0.3.1
globalSecurity: 3.0.2
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2 changes: 1 addition & 1 deletion .speakeasy/gen.yaml
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Expand Up @@ -12,7 +12,7 @@ generation:
auth:
oAuth2ClientCredentialsEnabled: true
python:
version: 0.5.0
version: 0.5.1
additionalDependencies:
dev: {}
main: {}
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12 changes: 6 additions & 6 deletions .speakeasy/workflow.lock
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@@ -1,9 +1,9 @@
speakeasyVersion: 1.398.1
speakeasyVersion: 1.401.2
sources:
livepeer_ai-OAS:
sourceNamespace: livepeer-ai-oas
sourceRevisionDigest: sha256:e610910470934c60c9a9003e4d7b811585eaf6857e8cf50ae53a779738a3eba2
sourceBlobDigest: sha256:84962d1cdd2b3ec311a1e3de4848a560478cefda5b3038810a518281c8032152
sourceRevisionDigest: sha256:4f6e897095eeeb8d23e6ecc1421334cf273ffd96b45a1e6e79bf04b39d5ce543
sourceBlobDigest: sha256:ffdfa01671cab29ecdb8b014925f080497ace7616108fe5a4b9153cc0e562f93
tags:
- latest
- main
Expand All @@ -16,10 +16,10 @@ targets:
livepeer-ai-python:
source: livepeer_ai-OAS
sourceNamespace: livepeer-ai-oas
sourceRevisionDigest: sha256:e610910470934c60c9a9003e4d7b811585eaf6857e8cf50ae53a779738a3eba2
sourceBlobDigest: sha256:84962d1cdd2b3ec311a1e3de4848a560478cefda5b3038810a518281c8032152
sourceRevisionDigest: sha256:4f6e897095eeeb8d23e6ecc1421334cf273ffd96b45a1e6e79bf04b39d5ce543
sourceBlobDigest: sha256:ffdfa01671cab29ecdb8b014925f080497ace7616108fe5a4b9153cc0e562f93
codeSamplesNamespace: code-samples-python-livepeer-python
codeSamplesRevisionDigest: sha256:ddcd8ce252c6f4d2c3159e8a844b3522b6d6eb28f25a56e166181e733beb0439
codeSamplesRevisionDigest: sha256:196012791664b5a4437be3bf2d09ed1a3b6ee7bd83da508a3def8332836f5b31
workflow:
workflowVersion: 1.0.0
speakeasyVersion: latest
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12 changes: 11 additions & 1 deletion RELEASES.md
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Expand Up @@ -68,4 +68,14 @@ Based on:
### Generated
- [python v0.5.0] .
### Releases
- [PyPI v0.5.0] https://pypi.org/project/livepeer-ai/0.5.0 - .
- [PyPI v0.5.0] https://pypi.org/project/livepeer-ai/0.5.0 - .

## 2024-09-23 00:22:56
### Changes
Based on:
- OpenAPI Doc
- Speakeasy CLI 1.401.2 (2.421.3) https://github.com/speakeasy-api/speakeasy
### Generated
- [python v0.5.1] .
### Releases
- [PyPI v0.5.1] https://pypi.org/project/livepeer-ai/0.5.1 - .
27 changes: 14 additions & 13 deletions docs/models/components/bodygenimagetoimage.md
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25 changes: 13 additions & 12 deletions docs/models/components/texttoimageparams.md
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## Fields

| Field | Type | Required | Description |
| ------------------------------------------------------------------------------------------------------------------------ | ------------------------------------------------------------------------------------------------------------------------ | ------------------------------------------------------------------------------------------------------------------------ | ------------------------------------------------------------------------------------------------------------------------ |
| `prompt` | *str* | :heavy_check_mark: | Text prompt(s) to guide image generation. Separate multiple prompts with '\|' if supported by the model. |
| `model_id` | *Optional[str]* | :heavy_minus_sign: | Hugging Face model ID used for image generation. |
| `height` | *Optional[int]* | :heavy_minus_sign: | The height in pixels of the generated image. |
| `width` | *Optional[int]* | :heavy_minus_sign: | The width in pixels of the generated image. |
| `guidance_scale` | *Optional[float]* | :heavy_minus_sign: | Encourages model to generate images closely linked to the text prompt (higher values may reduce image quality). |
| `negative_prompt` | *Optional[str]* | :heavy_minus_sign: | Text prompt(s) to guide what to exclude from image generation. Ignored if guidance_scale < 1. |
| `safety_check` | *Optional[bool]* | :heavy_minus_sign: | Perform a safety check to estimate if generated images could be offensive or harmful. |
| `seed` | *Optional[int]* | :heavy_minus_sign: | Seed for random number generation. |
| `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. |
| `num_images_per_prompt` | *Optional[int]* | :heavy_minus_sign: | Number of images to generate per prompt. |
| Field | Type | Required | Description |
| ---------------------------------------------------------------------------------------------------------------------------------------------------------------------- | ---------------------------------------------------------------------------------------------------------------------------------------------------------------------- | ---------------------------------------------------------------------------------------------------------------------------------------------------------------------- | ---------------------------------------------------------------------------------------------------------------------------------------------------------------------- |
| `prompt` | *str* | :heavy_check_mark: | Text prompt(s) to guide image generation. Separate multiple prompts with '\|' if supported by the model. |
| `model_id` | *Optional[str]* | :heavy_minus_sign: | Hugging Face model ID used for image generation. |
| `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}. |
| `height` | *Optional[int]* | :heavy_minus_sign: | The height in pixels of the generated image. |
| `width` | *Optional[int]* | :heavy_minus_sign: | The width in pixels of the generated image. |
| `guidance_scale` | *Optional[float]* | :heavy_minus_sign: | Encourages model to generate images closely linked to the text prompt (higher values may reduce image quality). |
| `negative_prompt` | *Optional[str]* | :heavy_minus_sign: | Text prompt(s) to guide what to exclude from image generation. Ignored if guidance_scale < 1. |
| `safety_check` | *Optional[bool]* | :heavy_minus_sign: | Perform a safety check to estimate if generated images could be offensive or harmful. |
| `seed` | *Optional[int]* | :heavy_minus_sign: | Seed for random number generation. |
| `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. |
| `num_images_per_prompt` | *Optional[int]* | :heavy_minus_sign: | Number of images to generate per prompt. |
2 changes: 1 addition & 1 deletion pyproject.toml
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[tool.poetry]
name = "livepeer-ai"
version = "0.5.0"
version = "0.5.1"
description = "Python Client SDK for the Livepeer AI API."
authors = ["Speakeasy",]
readme = "README-PYPI.md"
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5 changes: 5 additions & 0 deletions src/livepeer_ai/models/components/body_genimagetoimage.py
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Expand Up @@ -40,6 +40,8 @@ class BodyGenImageToImageTypedDict(TypedDict):
r"""Uploaded image to modify with the pipeline."""
model_id: NotRequired[str]
r"""Hugging Face model ID used for image generation."""
loras: NotRequired[str]
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}."""
strength: NotRequired[float]
r"""Degree of transformation applied to the reference image (0 to 1)."""
guidance_scale: NotRequired[float]
Expand Down Expand Up @@ -72,6 +74,9 @@ class BodyGenImageToImage(BaseModel):
model_id: Annotated[Optional[str], FieldMetadata(multipart=True)] = ""
r"""Hugging Face model ID used for image generation."""

loras: Annotated[Optional[str], FieldMetadata(multipart=True)] = ""
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}."""

strength: Annotated[Optional[float], FieldMetadata(multipart=True)] = 0.8
r"""Degree of transformation applied to the reference image (0 to 1)."""

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5 changes: 5 additions & 0 deletions src/livepeer_ai/models/components/texttoimageparams.py
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Expand Up @@ -11,6 +11,8 @@ class TextToImageParamsTypedDict(TypedDict):
r"""Text prompt(s) to guide image generation. Separate multiple prompts with '|' if supported by the model."""
model_id: NotRequired[str]
r"""Hugging Face model ID used for image generation."""
loras: NotRequired[str]
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}."""
height: NotRequired[int]
r"""The height in pixels of the generated image."""
width: NotRequired[int]
Expand All @@ -36,6 +38,9 @@ class TextToImageParams(BaseModel):
model_id: Optional[str] = ""
r"""Hugging Face model ID used for image generation."""

loras: Optional[str] = ""
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}."""

height: Optional[int] = 576
r"""The height in pixels of the generated image."""

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