prediction_value = block.postprocess(prediction_value) File "/opt/conda/envs/fooocus/lib/python3.10/site-packages/gradio/components/image.py", line 320, in postprocess raise ValueError("Cannot process this value as an Image") ValueError: Cannot process this value as an Image Global exception O...
import gradio as gr import numpy as np import time #生成steps张图片,每隔1秒钟返回 def fake_diffusion(steps): for _ in range(steps): time.sleep(1) image = np.random.randint(255, size=(300, 600, 3)) yield image demo = gr.Interface(fake_diffusion, #设置滑窗,最小值为1,最大值为10,...
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However, this process is not an efficient process and to speed up the process Latent Diffusion Model is introduced.Stable Diffusionfunctions as a latent diffusion model. Rather than working within the high-dimensional image space, it initially compresses the image into a latent space. This latent ...
Thesubmitmethod provides a more flexible way to call an API endpoint, providing you with status updates about the current progress of the prediction as well as supporting more complex endpoint types. import{Client}from"@gradio/client";constapp=awaitClient.connect("user/space-name");constsubmission...
We can then input any square image of a person, along with a DensePose sequence extracted using Detectron2, to generate an animation that only alters the initial figures positioning to create the appearance of movement. Here is an example we made using a photo of the author of this article ...
When I usetime.sleep(5), the ImageEditor tries to update each 5 sec and display correct background image with the mask overlayed as layer on it. Sometimes I even can manage to draw or erase on the displayed layer within the next 5 sec before it starts again to display an original ima...
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const HF_ACCESS_TOKEN = process.env.HF_ACCESS_TOKEN export default async function getDetections() { const response = await fetch("jpg"); const exampleImage = await response.blob(); const app = await client("HF_Name/MLDetector", { hf_token: HF_ACCESS_TOKEN }); const result = await ap...
As an example, let’s say you have a text-to-image application that’s running from the/app/text-to-imagedirectory. In Gradio 4.0, saving images to the/img/directory would work: deftext_to_image(prompt):img=diffusion_model(prompt)path=img.save('/img/image.png')returnpath ...