Initial commit

app.py

@@ -0,0 +1,96 @@
+import os
+from io import BytesIO
+
+import gradio as gr
+import grpc
+from PIL import Image
+from cachetools import LRUCache
+import hashlib
+
+from protos.inference_pb2 import GuideAndRescaleRequest, GuideAndRescaleResponse
+from protos.inference_pb2_grpc import GuideAndRescaleServiceStub
+
+
+def get_bytes(img):
+    if img is None:
+        return img
+
+    buffered = BytesIO()
+    img.save(buffered, format="JPEG")
+    return buffered.getvalue()
+
+
+def bytes_to_image(image: bytes) -> Image.Image:
+    image = Image.open(BytesIO(image))
+    return image
+
+
+def resize(img):
+    if img.size != (512, 512):
+        img = img.resize((512, 512), Image.Resampling.LANCZOS)
+
+    return img
+
+
+def edit(image, source_prompt, target_prompt, config, progress=gr.Progress(track_tqdm=True)):
+    if not image or not source_prompt or not target_prompt:
+        raise ValueError("Need to upload an image and enter init and edit prompts")
+
+    image_bytes = get_bytes(image)
+    os.environ['SERVER'] = "0.0.0.0:50052"
+    with grpc.insecure_channel(os.environ['SERVER']) as channel:
+        stub = GuideAndRescaleServiceStub(channel)
+
+        output: GuideAndRescaleResponse = stub.swap(
+            GuideAndRescaleRequest(image=image_bytes, source_prompt=source_prompt, target_prompt=target_prompt,
+                            config=config, use_cache=True)
+        )
+
+    output = bytes_to_image(output.image)
+    return output
+
+
+def get_demo():
+    with gr.Blocks() as demo:
+        gr.Markdown("## Guide-and-Rescale")
+        gr.Markdown(
+            '<div style="display: flex; align-items: center; gap: 10px;">'
+            '<span>Official Guide-and-Rescale Gradio demo:</span>'
+             '<a href="https://github.com/AIRI-Institute/Guide-and-Rescale"><img src="https://img.shields.io/badge/github-%23121011.svg?style=for-the-badge&logo=github&logoColor=white" height=22.5></a>'
+            '<a href="https://colab.research.google.com/drive/1noKOOcDBBL_m5_UqU15jBBqiM8piLZ1O?usp=sharing"><img src="https://colab.research.google.com/assets/colab-badge.svg" height=22.5></a>'
+            '</div>'
+        )
+        with gr.Row():
+            with gr.Column():
+                with gr.Row():
+                    image = gr.Image(label="Image that you want to edit", type="pil")
+                with gr.Row():
+                    source_prompt = gr.Textbox(label="Init Prompt", info="Describs the content on the original image.")
+                    target_prompt = gr.Textbox(label="Edit Prompt", info="Describs what is expected in the output image.")
+                    config = gr.Radio(["non-stylisation", "stylisation"], value='non-stylisation',
+                                        label="Type of Editing", info="Selects a config for editing.")
+                with gr.Row():
+                    btn = gr.Button("Edit image")
+            with gr.Column():
+                with gr.Row():
+                    output = gr.Image(label="Result: edited image")
+
+        gr.Examples(examples=[["input/1.png", 'A photo of a tiger', 'A photo of a lion', 'non-stylisation'], ["input/zebra.jpeg", 'A photo of a zebra', 'A photo of a white horse', 'non-stylisation'], ["input/13.png", 'A photo', 'Anime style face', 'stylisation']], inputs=[image, source_prompt, target_prompt, config],
+                    outputs=output)
+
+        image.upload(fn=resize, inputs=[image], outputs=image)
+
+        btn.click(fn=edit, inputs=[image, source_prompt, target_prompt, config], outputs=output)
+
+        gr.Markdown('''To cite the paper by the authors
+    ```
+        TODO: add cite
+    ```
+        ''')
+    return demo
+
+
+if __name__ == '__main__':
+    align_cache = LRUCache(maxsize=10)
+    demo = get_demo()
+    demo.launch(server_name="0.0.0.0", server_port=7860)

inference_pb2.py

@@ -0,0 +1,30 @@
+# -*- coding: utf-8 -*-
+# Generated by the protocol buffer compiler.  DO NOT EDIT!
+# source: inference.proto
+# Protobuf Python Version: 5.26.1
+"""Generated protocol buffer code."""
+from google.protobuf import descriptor as _descriptor
+from google.protobuf import descriptor_pool as _descriptor_pool
+from google.protobuf import symbol_database as _symbol_database
+from google.protobuf.internal import builder as _builder
+# @@protoc_insertion_point(imports)
+
+_sym_db = _symbol_database.Default()
+
+
+
+
+DESCRIPTOR = _descriptor_pool.Default().AddSerializedFile(b'\n\x0finference.proto\x12\tinference\"x\n\x16GuideAndRescaleRequest\x12\r\n\x05image\x18\x01 \x01(\x0c\x12\x15\n\rsource_prompt\x18\x02 \x01(\t\x12\x15\n\rtarget_prompt\x18\x03 \x01(\t\x12\x0e\n\x06\x63onfig\x18\x04 \x01(\t\x12\x11\n\tuse_cache\x18\x05 \x01(\x08\"(\n\x17GuideAndRescaleResponse\x12\r\n\x05image\x18\x01 \x01(\x0c\x32g\n\x16GuideAndRescaleService\x12M\n\x04swap\x12!.inference.GuideAndRescaleRequest\x1a\".inference.GuideAndRescaleResponseb\x06proto3')
+
+_globals = globals()
+_builder.BuildMessageAndEnumDescriptors(DESCRIPTOR, _globals)
+_builder.BuildTopDescriptorsAndMessages(DESCRIPTOR, 'inference_pb2', _globals)
+if not _descriptor._USE_C_DESCRIPTORS:
+  DESCRIPTOR._loaded_options = None
+  _globals['_GUIDEANDRESCALEREQUEST']._serialized_start=30
+  _globals['_GUIDEANDRESCALEREQUEST']._serialized_end=150
+  _globals['_GUIDEANDRESCALERESPONSE']._serialized_start=152
+  _globals['_GUIDEANDRESCALERESPONSE']._serialized_end=192
+  _globals['_GUIDEANDRESCALESERVICE']._serialized_start=194
+  _globals['_GUIDEANDRESCALESERVICE']._serialized_end=297
+# @@protoc_insertion_point(module_scope)

inference_pb2.pyi

@@ -0,0 +1,25 @@
+from google.protobuf import descriptor as _descriptor
+from google.protobuf import message as _message
+from typing import ClassVar as _ClassVar, Optional as _Optional
+
+DESCRIPTOR: _descriptor.FileDescriptor
+
+class GuideAndRescaleRequest(_message.Message):
+    __slots__ = ("image", "source_prompt", "target_prompt", "config", "use_cache")
+    IMAGE_FIELD_NUMBER: _ClassVar[int]
+    SOURCE_PROMPT_FIELD_NUMBER: _ClassVar[int]
+    TARGET_PROMPT_FIELD_NUMBER: _ClassVar[int]
+    CONFIG_FIELD_NUMBER: _ClassVar[int]
+    USE_CACHE_FIELD_NUMBER: _ClassVar[int]
+    image: bytes
+    source_prompt: str
+    target_prompt: str
+    config: str
+    use_cache: bool
+    def __init__(self, image: _Optional[bytes] = ..., source_prompt: _Optional[str] = ..., target_prompt: _Optional[str] = ..., config: _Optional[str] = ..., use_cache: bool = ...) -> None: ...
+
+class GuideAndRescaleResponse(_message.Message):
+    __slots__ = ("image",)
+    IMAGE_FIELD_NUMBER: _ClassVar[int]
+    image: bytes
+    def __init__(self, image: _Optional[bytes] = ...) -> None: ...

inference_pb2_grpc.py

@@ -0,0 +1,102 @@
+# Generated by the gRPC Python protocol compiler plugin. DO NOT EDIT!
+"""Client and server classes corresponding to protobuf-defined services."""
+import grpc
+import warnings
+
+import inference_pb2 as inference__pb2
+
+GRPC_GENERATED_VERSION = '1.65.1'
+GRPC_VERSION = grpc.__version__
+EXPECTED_ERROR_RELEASE = '1.66.0'
+SCHEDULED_RELEASE_DATE = 'August 6, 2024'
+_version_not_supported = False
+
+try:
+    from grpc._utilities import first_version_is_lower
+    _version_not_supported = first_version_is_lower(GRPC_VERSION, GRPC_GENERATED_VERSION)
+except ImportError:
+    _version_not_supported = True
+
+if _version_not_supported:
+    warnings.warn(
+        f'The grpc package installed is at version {GRPC_VERSION},'
+        + f' but the generated code in inference_pb2_grpc.py depends on'
+        + f' grpcio>={GRPC_GENERATED_VERSION}.'
+        + f' Please upgrade your grpc module to grpcio>={GRPC_GENERATED_VERSION}'
+        + f' or downgrade your generated code using grpcio-tools<={GRPC_VERSION}.'
+        + f' This warning will become an error in {EXPECTED_ERROR_RELEASE},'
+        + f' scheduled for release on {SCHEDULED_RELEASE_DATE}.',
+        RuntimeWarning
+    )
+
+
+class GuideAndRescaleServiceStub(object):
+    """Missing associated documentation comment in .proto file."""
+
+    def __init__(self, channel):
+        """Constructor.
+
+        Args:
+            channel: A grpc.Channel.
+        """
+        self.swap = channel.unary_unary(
+                '/inference.GuideAndRescaleService/swap',
+                request_serializer=inference__pb2.GuideAndRescaleRequest.SerializeToString,
+                response_deserializer=inference__pb2.GuideAndRescaleResponse.FromString,
+                _registered_method=True)
+
+
+class GuideAndRescaleServiceServicer(object):
+    """Missing associated documentation comment in .proto file."""
+
+    def swap(self, request, context):
+        """Missing associated documentation comment in .proto file."""
+        context.set_code(grpc.StatusCode.UNIMPLEMENTED)
+        context.set_details('Method not implemented!')
+        raise NotImplementedError('Method not implemented!')
+
+
+def add_GuideAndRescaleServiceServicer_to_server(servicer, server):
+    rpc_method_handlers = {
+            'swap': grpc.unary_unary_rpc_method_handler(
+                    servicer.swap,
+                    request_deserializer=inference__pb2.GuideAndRescaleRequest.FromString,
+                    response_serializer=inference__pb2.GuideAndRescaleResponse.SerializeToString,
+            ),
+    }
+    generic_handler = grpc.method_handlers_generic_handler(
+            'inference.GuideAndRescaleService', rpc_method_handlers)
+    server.add_generic_rpc_handlers((generic_handler,))
+    server.add_registered_method_handlers('inference.GuideAndRescaleService', rpc_method_handlers)
+
+
+ # This class is part of an EXPERIMENTAL API.
+class GuideAndRescaleService(object):
+    """Missing associated documentation comment in .proto file."""
+
+    @staticmethod
+    def swap(request,
+            target,
+            options=(),
+            channel_credentials=None,
+            call_credentials=None,
+            insecure=False,
+            compression=None,
+            wait_for_ready=None,
+            timeout=None,
+            metadata=None):
+        return grpc.experimental.unary_unary(
+            request,
+            target,
+            '/inference.GuideAndRescaleService/swap',
+            inference__pb2.GuideAndRescaleRequest.SerializeToString,
+            inference__pb2.GuideAndRescaleResponse.FromString,
+            options,
+            channel_credentials,
+            insecure,
+            call_credentials,
+            compression,
+            wait_for_ready,
+            timeout,
+            metadata,
+            _registered_method=True)

requirements.txt

@@ -0,0 +1,5 @@
+pillow==10.0.0
+grpcio==1.63.0
+grpcio_tools==1.63.0
+gradio==4.31.5
+cachetools==5.3.3