Upload tool

app.py

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+from transformers.tools.base import launch_gradio_demo
+from image_upscaling import ImageUpscalingTool
+
+launch_gradio_demo(ImageUpscalingTool)

image_upscaling.py

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+
+import numpy as np
+import torch
+
+from transformers.tools.base import Tool, get_default_device
+from transformers.utils import (
+    is_accelerate_available,
+    is_diffusers_available,
+)
+
+
+if is_diffusers_available():
+    from diffusers import DiffusionPipeline
+
+
+IMAGE_UPSCALING_DESCRIPTION = (
+    "This is a tool that upscales an image. It takes one input: `image`, which should be "
+    "the image to upscale. It returns the upscaled image."
+)
+
+
+class ImageUpscalingTool(Tool):
+    default_stable_diffusion_checkpoint = "stabilityai/sd-x2-latent-upscaler"
+    description = IMAGE_UPSCALING_DESCRIPTION 
+    inputs = ['image']
+    outputs = ['image']
+
+    def __init__(self, device=None, controlnet=None, stable_diffusion=None, **hub_kwargs) -> None:
+        if not is_accelerate_available():
+            raise ImportError("Accelerate should be installed in order to use tools.")
+        if not is_diffusers_available():
+            raise ImportError("Diffusers should be installed in order to use the StableDiffusionTool.")
+
+        super().__init__()
+
+        self.stable_diffusion = self.default_stable_diffusion_checkpoint
+
+        self.device = device
+        self.hub_kwargs = hub_kwargs
+
+    def setup(self):
+        if self.device is None:
+            self.device = get_default_device()
+
+        self.pipeline = DiffusionPipeline.from_pretrained(self.stable_diffusion)
+
+        self.pipeline.to(self.device)
+        if self.device.type == "cuda":
+            self.pipeline.to(torch_dtype=torch.float16)
+
+        self.is_initialized = True
+
+    def __call__(self, image):
+        if not self.is_initialized:
+            self.setup()
+
+        return self.pipeline(
+            image=image,
+            prompt="",
+            num_inference_steps=30,
+            guidance_scale=0,
+        ).images[0]

requirements.txt

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+diffusers
+transformers
+torch

tool_config.json

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+{
+  "description": "This is a tool that upscales an image. It takes one input: `image`, which should be the image to upscale. It returns the upscaled image.",
+  "name": "",
+  "tool_class": "image_upscaling.ImageUpscalingTool"
+}