Rest API: Resolved Generator Object not Subscripatable error (#1556)

apps/stable_diffusion/web/ui/img2img_ui.py

@@ -340,6 +340,10 @@ def img2img_api(
         lora_hf_id="",
         ondemand=False,
     )
+
+    # Converts generator type to subscriptable
+    res = list(res)[0]
+
     return {
         "images": encode_pil_to_base64(res[0]),
         "parameters": {},

apps/stable_diffusion/web/ui/upscaler_ui.py

@@ -299,6 +299,9 @@ def upscaler_api(
         lora_hf_id="",
         ondemand=False,
     )
+    # Converts generator type to subscriptable
+    res = list(res)[0]
+
     return {
         "images": encode_pil_to_base64(res[0]),
         "parameters": {},

rest_api_tests/api_test.py

@@ -0,0 +1,109 @@
+import requests
+from PIL import Image
+import base64
+from io import BytesIO
+
+
+def upscaler_test():
+    # Define values here
+    prompt = ""
+    negative_prompt = ""
+    seed = 2121991605
+    height = 512
+    width = 512
+    steps = 50
+    noise_level = 10
+    cfg_scale = 7
+    image_path = r"./rest_api_tests/dog.png"
+
+    # Converting Image to base64
+    img_file = open(image_path, "rb")
+    init_images = [
+        "data:image/png;base64," + base64.b64encode(img_file.read()).decode()
+    ]
+
+    url = "http://127.0.0.1:8080/sdapi/v1/upscaler"
+
+    headers = {
+        "User-Agent": "PythonTest",
+        "Accept": "*/*",
+        "Accept-Encoding": "gzip, deflate, br",
+    }
+
+    data = {
+        "prompt": prompt,
+        "negative_prompt": negative_prompt,
+        "seed": seed,
+        "height": height,
+        "width": width,
+        "steps": steps,
+        "noise_level": noise_level,
+        "cfg_scale": cfg_scale,
+        "init_images": init_images,
+    }
+
+    res = requests.post(url=url, json=data, headers=headers, timeout=1000)
+
+    print(f"response from server was : {res.status_code}")
+
+
+def img2img_test():
+    # Define values here
+    prompt = "Paint a rabbit riding on the dog"
+    negative_prompt = "ugly, bad art, poorly drawn hands, poorly drawn feet, poorly drawn face, out of frame, extra limbs, disfigured, deformed, body out of frame, blurry, bad anatomy, blurred, watermark, grainy, tiling, signature, cut off, draft"
+    seed = 2121991605
+    height = 512
+    width = 512
+    steps = 50
+    denoising_strength = 0.75
+    cfg_scale = 7
+    image_path = r"./rest_api_tests/dog.png"
+
+    # Converting Image to Base64
+    img_file = open(image_path, "rb")
+    init_images = [
+        "data:image/png;base64," + base64.b64encode(img_file.read()).decode()
+    ]
+
+    url = "http://127.0.0.1:8080/sdapi/v1/img2img"
+
+    headers = {
+        "User-Agent": "PythonTest",
+        "Accept": "*/*",
+        "Accept-Encoding": "gzip, deflate, br",
+    }
+
+    data = {
+        "prompt": prompt,
+        "negative_prompt": negative_prompt,
+        "init_images": init_images,
+        "height": height,
+        "width": width,
+        "steps": steps,
+        "denoising_strength": denoising_strength,
+        "cfg_scale": cfg_scale,
+        "seed": seed,
+    }
+
+    res = requests.post(url=url, json=data, headers=headers, timeout=1000)
+
+    print(f"response from server was : {res.status_code}")
+
+    print("Extracting response object")
+
+    # Uncomment below to save the picture
+
+    response_obj = res.json()
+    img_b64 = response_obj.get("images", [False])[0] or response_obj.get(
+        "image"
+    )
+    img_b2 = base64.b64decode(img_b64.replace("data:image/png;base64,", ""))
+    im_file = BytesIO(img_b2)
+    response_img = Image.open(im_file)
+    print("Saving Response Image to: response_img")
+    response_img.save(r"rest_api_tests/response_img.png")
+
+
+if __name__ == "__main__":
+    img2img_test()
+    upscaler_test()