Class 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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class-attribute
      instance-attribute
  
timeout = 600.0
instance-attribute
  
api_key
class-attribute
      instance-attribute
  
type = 'DeepInfraImgGenModel'
class-attribute
      instance-attribute
  
allowed_models = allowed_models or get_allowed_models()
class-attribute
      instance-attribute
  
name = allowed_models[0]
class-attribute
      instance-attribute
  
model_config = ConfigDict(
    extra="forbid", arbitrary_types_allowed=True
)
class-attribute
      instance-attribute
  
id = Field(default_factory=generate_id)
class-attribute
      instance-attribute
  
members = None
class-attribute
      instance-attribute
  
owners = None
class-attribute
      instance-attribute
  
host = None
class-attribute
  
default_logger = None
class-attribute
      instance-attribute
  
logger = None
class-attribute
      instance-attribute
  
version = '0.1.0'
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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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(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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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()
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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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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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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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(
    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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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(
    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(logger=None)
Assign a logger instance after model initialization.
Source code in swarmauri_base/LoggerMixin.py
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