Spaces:
Runtime error
Runtime error
import torch | |
from transformers.tools.base import Tool, get_default_device | |
from transformers.utils import ( | |
is_accelerate_available, | |
is_diffusers_available, | |
is_vision_available, | |
) | |
if is_diffusers_available(): | |
from diffusers import DiffusionPipeline | |
IMAGE_TRANSFORMATION_DESCRIPTION = ( | |
"This is a tool that transforms an image according to a prompt. It takes two inputs: `image`, which should be " | |
"the image to transform, and `prompt`, which should be the prompt to use to change it. It returns the " | |
"modified image." | |
) | |
class ImageTransformationTool(Tool): | |
default_stable_diffusion_checkpoint = "timbrooks/instruct-pix2pix" | |
description = IMAGE_TRANSFORMATION_DESCRIPTION | |
inputs = ['image', 'text'] | |
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.") | |
if not is_vision_available(): | |
raise ImportError("Pillow 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, prompt): | |
if not self.is_initialized: | |
self.setup() | |
negative_prompt = "low quality, bad quality, deformed, low resolution" | |
added_prompt = " , highest quality, highly realistic, very high resolution" | |
return self.pipeline( | |
prompt + added_prompt, | |
image, | |
negative_prompt=negative_prompt, | |
num_inference_steps=50, | |
).images[0] | |