stable diffusion

.env.example

@@ -5,7 +5,7 @@ AI21_API_KEY="your_api_key_here"
 COHERE_API_KEY="your_api_key_here"
 ALEPHALPHA_API_KEY="your_api_key_here"
 HUGGINFACEHUB_API_KEY="your_api_key_here"
-
+STABILITY_API_KEY="your_api_key_here"
 
 WOLFRAM_ALPHA_APPID="your_wolfram_alpha_appid_here"
 ZAPIER_NLA_API_KEY="your_zapier_nla_api_key_here"
@@ -41,4 +41,4 @@ REDIS_PORT=
 PINECONE_API_KEY=""
 BING_COOKIE=""
 
-PSG_CONNECTION_STRING=""
+PSG_CONNECTION_STRING=""

playground/models/stable_diffusion.py

@@ -0,0 +1,112 @@
+import os
+import base64
+import requests
+from dotenv import load_dotenv
+from typing import List
+
+load_dotenv()
+
+class StableDiffusion:
+    """
+    A class to interact with the Stable Diffusion API for image generation.
+
+    Attributes:
+    -----------
+    api_key : str
+        The API key for accessing the Stable Diffusion API.
+    api_host : str
+        The host URL of the Stable Diffusion API.
+    engine_id : str
+        The ID of the Stable Diffusion engine.
+    headers : dict
+        The headers for the API request.
+    output_dir : str
+        Directory where generated images will be saved.
+
+    Methods:
+    --------
+    generate_image(prompt: str, cfg_scale: int, height: int, width: int, samples: int, steps: int) -> List[str]:
+        Generates images based on a text prompt and returns a list of file paths to the generated images.
+    """
+
+    def __init__(self, api_key: str, api_host: str = "https://api.stability.ai"):
+        """
+        Initializes the StableDiffusion class with the provided API key and host.
+
+        Parameters:
+        -----------
+        api_key : str
+            The API key for accessing the Stable Diffusion API.
+        api_host : str
+            The host URL of the Stable Diffusion API. Default is "https://api.stability.ai".
+        """
+        self.api_key = api_key
+        self.api_host = api_host
+        self.engine_id = "stable-diffusion-v1-6"
+        self.headers = {
+            "Authorization": f"Bearer {self.api_key}",
+            "Content-Type": "application/json",
+            "Accept": "application/json"
+        }
+        self.output_dir = "images"
+        os.makedirs(self.output_dir, exist_ok=True)
+
+    def generate_image(self, prompt: str, cfg_scale: int = 7, height: int = 1024, width: int = 1024, samples: int = 1, steps: int = 30) -> List[str]:
+        """
+        Generates images based on a text prompt.
+
+        Parameters:
+        -----------
+        prompt : str
+            The text prompt based on which the image will be generated.
+        cfg_scale : int
+            CFG scale parameter for image generation. Default is 7.
+        height : int
+            Height of the generated image. Default is 1024.
+        width : int
+            Width of the generated image. Default is 1024.
+        samples : int
+            Number of images to generate. Default is 1.
+        steps : int
+            Number of steps for the generation process. Default is 30.
+
+        Returns:
+        --------
+        List[str]:
+            A list of paths to the generated images.
+
+        Raises:
+        -------
+        Exception:
+            If the API response is not 200 (OK).
+        """
+        response = requests.post(
+            f"{self.api_host}/v1/generation/{self.engine_id}/text-to-image",
+            headers=self.headers,
+            json={
+                "text_prompts": [{"text": prompt}],
+                "cfg_scale": cfg_scale,
+                "height": height,
+                "width": width,
+                "samples": samples,
+                "steps": steps,
+            },
+        )
+
+        if response.status_code != 200:
+            raise Exception(f"Non-200 response: {response.text}")
+
+        data = response.json()
+        image_paths = []
+        for i, image in enumerate(data["artifacts"]):
+            image_path = os.path.join(self.output_dir, f"v1_txt2img_{i}.png")
+            with open(image_path, "wb") as f:
+                f.write(base64.b64decode(image["base64"]))
+            image_paths.append(image_path)
+
+        return image_paths
+
+# Usage example:
+# sd = StableDiffusion("your-api-key")
+# images = sd.generate_image("A scenic landscape with mountains")
+# print(images)