Class swarmauri_standard.image_gens.DeepInfraImgGenModel.DeepInfraImgGenModel
swarmauri_standard.image_gens.DeepInfraImgGenModel.DeepInfraImgGenModel
DeepInfraImgGenModel(**kwargs)
Bases: ImageGenBase
A model class for generating images from text prompts using DeepInfra's image generation API.
ATTRIBUTE | DESCRIPTION |
---|---|
api_key |
The API key for authenticating with the DeepInfra API.
TYPE:
|
allowed_models |
A list of available models for image generation.
TYPE:
|
asyncio |
The asyncio module for handling asynchronous operations.
TYPE:
|
name |
The name of the model to be used for image generation.
TYPE:
|
type |
The type identifier for the model class.
TYPE:
|
Link to Allowed Models: https://deepinfra.com/models/text-to-image/ Link to API KEY: https://deepinfra.com/dash/api_keys
Initializes the DeepInfraImgGenModel instance.
This constructor sets up HTTP clients for both synchronous and asynchronous operations and configures request headers with the provided API key.
PARAMETER | DESCRIPTION |
---|---|
**kwargs
|
Additional keyword arguments, which may includes api_key and allowed_models.
TYPE:
|
Source code in swarmauri_standard/image_gens/DeepInfraImgGenModel.py
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timeout
class-attribute
instance-attribute
timeout = 600.0
api_key
instance-attribute
api_key
type
class-attribute
instance-attribute
type = 'DeepInfraImgGenModel'
allowed_models
class-attribute
instance-attribute
allowed_models = allowed_models or get_allowed_models()
name
class-attribute
instance-attribute
name = allowed_models[0]
model_config
class-attribute
instance-attribute
model_config = ConfigDict(
extra="forbid", arbitrary_types_allowed=True
)
id
class-attribute
instance-attribute
id = Field(default_factory=generate_id)
members
class-attribute
instance-attribute
members = None
owners
class-attribute
instance-attribute
owners = None
host
class-attribute
instance-attribute
host = None
default_logger
class-attribute
default_logger = None
logger
class-attribute
instance-attribute
logger = None
version
class-attribute
instance-attribute
version = '0.1.0'
generate_image
generate_image(prompt)
Generates an image synchronously based on the provided prompt and returns it as a base64-encoded string.
PARAMETER | DESCRIPTION |
---|---|
prompt
|
The text prompt used for generating the image.
TYPE:
|
RETURNS | DESCRIPTION |
---|---|
str
|
The base64-encoded representation of the generated image.
TYPE:
|
Source code in swarmauri_standard/image_gens/DeepInfraImgGenModel.py
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agenerate_image
async
agenerate_image(prompt)
Generates an image asynchronously based on the provided prompt and returns it as a base64-encoded string.
PARAMETER | DESCRIPTION |
---|---|
prompt
|
The text prompt used for generating the image.
TYPE:
|
RETURNS | DESCRIPTION |
---|---|
str
|
The base64-encoded representation of the generated image.
TYPE:
|
Source code in swarmauri_standard/image_gens/DeepInfraImgGenModel.py
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batch_generate
batch_generate(prompts)
Generates images for a batch of prompts synchronously and returns them as a list of base64-encoded strings.
PARAMETER | DESCRIPTION |
---|---|
prompts
|
A list of text prompts for image generation.
TYPE:
|
RETURNS | DESCRIPTION |
---|---|
List[str]
|
List[str]: A list of base64-encoded representations of the generated images. |
Source code in swarmauri_standard/image_gens/DeepInfraImgGenModel.py
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abatch_generate
async
abatch_generate(prompts, max_concurrent=5)
Generates images for a batch of prompts asynchronously and returns them as a list of base64-encoded strings.
PARAMETER | DESCRIPTION |
---|---|
prompts
|
A list of text prompts for image generation.
TYPE:
|
max_concurrent
|
The maximum number of concurrent tasks.
TYPE:
|
RETURNS | DESCRIPTION |
---|---|
List[str]
|
List[str]: A list of base64-encoded representations of the generated images. |
Source code in swarmauri_standard/image_gens/DeepInfraImgGenModel.py
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get_allowed_models
get_allowed_models()
Queries the LLMProvider API endpoint to get the list of allowed models.
RETURNS | DESCRIPTION |
---|---|
List[str]
|
List[str]: List of allowed model names. |
Source code in swarmauri_standard/image_gens/DeepInfraImgGenModel.py
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|
register_model
classmethod
register_model()
Decorator to register a base model in the unified registry.
RETURNS | DESCRIPTION |
---|---|
Callable
|
A decorator function that registers the model class.
TYPE:
|
Source code in swarmauri_base/DynamicBase.py
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register_type
classmethod
register_type(resource_type=None, type_name=None)
Decorator to register a subtype under one or more base models in the unified registry.
PARAMETER | DESCRIPTION |
---|---|
resource_type
|
The base model(s) under which to register the subtype. If None, all direct base classes (except DynamicBase) are used.
TYPE:
|
type_name
|
An optional custom type name for the subtype.
TYPE:
|
RETURNS | DESCRIPTION |
---|---|
Callable
|
A decorator function that registers the subtype.
TYPE:
|
Source code in swarmauri_base/DynamicBase.py
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model_validate_toml
classmethod
model_validate_toml(toml_data)
Validate a model from a TOML string.
Source code in swarmauri_base/TomlMixin.py
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model_dump_toml
model_dump_toml(
fields_to_exclude=None, api_key_placeholder=None
)
Return a TOML representation of the model.
Source code in swarmauri_base/TomlMixin.py
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model_validate_yaml
classmethod
model_validate_yaml(yaml_data)
Validate a model from a YAML string.
Source code in swarmauri_base/YamlMixin.py
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model_dump_yaml
model_dump_yaml(
fields_to_exclude=None, api_key_placeholder=None
)
Return a YAML representation of the model.
Source code in swarmauri_base/YamlMixin.py
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model_post_init
model_post_init(logger=None)
Assign a logger instance after model initialization.
Source code in swarmauri_base/LoggerMixin.py
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