Upload 2 files

app.py

@@ -0,0 +1,68 @@
+import gradio as gr
+from PIL import Image
+import numpy as np
+import os
+import json
+import tempfile
+import replicate # type: ignore
+
+
+file_path = "comicidapi.json"
+# Define the replicate API token
+auth_token = os.environ.get("REPLICATE_API_TOKEN")
+print (auth_token)
+
+
+def load_workflow_from_file(file_path):
+    with open(file_path, 'r') as file:
+        return json.load(file)
+
+def process_image(image, style, character, prompt1):
+    workflow = dict()
+    pil_image = Image.fromarray((image))
+
+    prompt = f"Generate an image based on {style} style, graphic novel art, character as {character}, with high resolution, UHD, background of the image as {prompt1}"
+    
+    # Save the image to a temporary file
+    with tempfile.NamedTemporaryFile(suffix=".jpg", delete=False) as temp_file:
+        pil_image = Image.fromarray(image)
+        pil_image.save(temp_file.name)
+        print (temp_file.name)
+        input_file = open(f"{temp_file.name}", "rb")
+
+    workflow = load_workflow_from_file(file_path)
+    workflow["6"]["inputs"]["text"] = f"{prompt}" #prompt
+   
+   
+    # Define the API endpoind
+    output = replicate.run(
+        "fofr/any-comfyui-workflow:68ece9a0cd9b8de5708e012f64fa5deccd1ab7571a2e207cac0bd463b7107e79",
+        input = {
+        "workflow_json": json.dumps(workflow),
+        "randomise_seeds": True,
+        "return_temp_files": False,
+        "input_file": input_file
+        },
+    )
+    print(output)
+    return(output[0])
+
+
+iface = gr.Interface(
+    fn=process_image,
+    inputs=[
+        gr.Image(label = "Upload your Image"),
+        gr.Dropdown(choices=["Graphic Illustration","Anime", "ComicStrip", "Disney", "Pixar 3D", "Pixel Art", "Gothic", "Chibi"," Oil Painting"], label="Style"),
+        gr.Dropdown(choices=["SuperMan","Cinderrella","SnowWhite","Elsa Frozen", "Batman", "Ariel Mermaid", "Wonder Woman", "Iron-Man","Spider-Man","Captain America","Batgirl","Blackwidow","Hulk"], label="Character"),
+        gr.Textbox(lines=2, placeholder="Enter your prompt here...", label="Describe the background of the image")
+    ],
+    outputs=[
+        gr.Image(label="Your transformed Image")
+    ],
+    title="Image Processing App",
+    description="Select a style, character, and enter a prompt to process the image.\n In case of any error, try again with a better quality image where the face is clear and with better resolution",
+    
+)
+
+# Launch the Gradio app
+iface.launch()

comicidapi.json

@@ -0,0 +1,209 @@
+{
+  "3": {
+    "inputs": {
+      "seed": 31657616060644,
+      "steps": 30,
+      "cfg": 6,
+      "sampler_name": "euler_ancestral",
+      "scheduler": "karras",
+      "denoise": 1,
+      "model": [
+        "10",
+        0
+      ],
+      "positive": [
+        "10",
+        1
+      ],
+      "negative": [
+        "10",
+        2
+      ],
+      "latent_image": [
+        "5",
+        0
+      ]
+    },
+    "class_type": "KSampler",
+    "_meta": {
+      "title": "KSampler"
+    }
+  },
+  "4": {
+    "inputs": {
+      "ckpt_name": "ProteusV0.4.safetensors"
+    },
+    "class_type": "CheckpointLoaderSimple",
+    "_meta": {
+      "title": "Load Checkpoint"
+    }
+  },
+  "5": {
+    "inputs": {
+      "width": 1024,
+      "height": 1024,
+      "batch_size": 1
+    },
+    "class_type": "EmptyLatentImage",
+    "_meta": {
+      "title": "Empty Latent Image"
+    }
+  },
+  "6": {
+    "inputs": {
+      "text": "{{prompt}}",
+      "clip": [
+        "4",
+        1
+      ]
+    },
+    "class_type": "CLIPTextEncode",
+    "_meta": {
+      "title": "CLIP Text Encode (Prompt)"
+    }
+  },
+  "7": {
+    "inputs": {
+      "text": "text, watermark, deformed, blurred, watermarks, deformed fingers, open mouth, lips open",
+      "clip": [
+        "4",
+        1
+      ]
+    },
+    "class_type": "CLIPTextEncode",
+    "_meta": {
+      "title": "CLIP Text Encode (Prompt)"
+    }
+  },
+  "8": {
+    "inputs": {
+      "samples": [
+        "3",
+        0
+      ],
+      "vae": [
+        "4",
+        2
+      ]
+    },
+    "class_type": "VAEDecode",
+    "_meta": {
+      "title": "VAE Decode"
+    }
+  },
+  "10": {
+    "inputs": {
+      "weight": 0.8,
+      "start_at": 0,
+      "end_at": 1,
+      "instantid": [
+        "14",
+        0
+      ],
+      "insightface": [
+        "13",
+        0
+      ],
+      "control_net": [
+        "12",
+        0
+      ],
+      "image": [
+        "17",
+        0
+      ],
+      "model": [
+        "4",
+        0
+      ],
+      "positive": [
+        "6",
+        0
+      ],
+      "negative": [
+        "7",
+        0
+      ]
+    },
+    "class_type": "ApplyInstantID",
+    "_meta": {
+      "title": "Apply InstantID"
+    }
+  },
+  "12": {
+    "inputs": {
+      "control_net_name": "instantid/diffusion_pytorch_model.safetensors"
+    },
+    "class_type": "ControlNetLoader",
+    "_meta": {
+      "title": "Load ControlNet Model"
+    }
+  },
+  "13": {
+    "inputs": {
+      "provider": "CPU"
+    },
+    "class_type": "InstantIDFaceAnalysis",
+    "_meta": {
+      "title": "InstantID Face Analysis"
+    }
+  },
+  "14": {
+    "inputs": {
+      "instantid_file": "instantid-ip-adapter.bin"
+    },
+    "class_type": "InstantIDModelLoader",
+    "_meta": {
+      "title": "Load InstantID Model"
+    }
+  },
+  "15": {
+    "inputs": {
+      "image": "input.jpg",
+      "upload": "image"
+    },
+    "class_type": "LoadImage",
+    "_meta": {
+      "title": "Load Image"
+    }
+  },
+  "17": {
+    "inputs": {
+      "crop_padding_factor": 0.650000000000000,
+      "cascade_xml": "lbpcascade_animeface.xml",
+      "image": [
+        "15",
+        0
+      ]
+    },
+    "class_type": "Image Crop Face",
+    "_meta": {
+      "title": "Image Crop Face"
+    }
+  },
+  "18": {
+    "inputs": {
+      "images": [
+        "17",
+        0
+      ]
+    },
+    "class_type": "PreviewImage",
+    "_meta": {
+      "title": "Preview Image"
+    }
+  },
+  "20": {
+    "inputs": {
+      "filename_prefix": "akhi",
+      "images": [
+        "8",
+        0
+      ]
+    },
+    "class_type": "SaveImage",
+    "_meta": {
+      "title": "Save Image"
+    }
+  }
+}