Comments (17)
tongyx361
commented on July 28, 2024
Thank you so much for the issue! Let's resolve it together 😀
This error seems a bit unusual because the line of code <title>ImageReward/image_reward.py at main THUDM/ImageReward GitHub</title> does not exist in the sdwebui/image_reward.py file.
Could you please provide the content of your stable-diffusion-webui/scripts/image_reward.py file?
from imagereward.
mageofthesands
commented on July 28, 2024
Here it is. I copied it from the file I downloaded from here.
`
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| import os | |
| import subprocess | |
| import sys | |
| from pathlib import Path | |
| import gradio as gr | |
| import modules.images as images | |
| import modules.scripts as scripts | |
| import torch | |
| from huggingface_hub.constants import HUGGINGFACE_HUB_CACHE | |
| from modules import sd_samplers, shared | |
| from modules.processing import ( | |
| Processed, | |
| StableDiffusionProcessing, | |
| create_infotext, | |
| process_images, | |
| ) | |
| from modules.shared import cmd_opts, opts, state | |
| try: | |
| import ImageReward as reward | |
| except ModuleNotFoundError as error: | |
| print('"image-reward" package has not been properly installed. Installing...') | |
| if subprocess.check_call(["pip", "install", "image-reward"]) == 0: | |
| print(f'"image-reward" package is successfully installed!') | |
| import ImageReward as reward | |
| else: | |
| print('"image-reward" package installation failed!') | |
| print( | |
| "Please open an issue with full error message at https://github.com/THUDM/ImageReward/issues" | |
| ) | |
| def unload_image_reward_model(): | |
| del shared.image_reward_model | |
| class Script(scripts.Script): | |
| def title(self): | |
| return "ImageReward - generate human preference scores" | |
| def show(self, is_txt2img): | |
| return True | |
| def ui(self, is_txt2img): | |
| with gr.Blocks(): | |
| with gr.Row(): | |
| gr.Markdown( | |
| value="**Tip**: It will take a little time to **load** the ImageReward model before **the first generation**." | |
| ) | |
| with gr.Row(): | |
| with gr.Column(): | |
| filter_out_low_scores = gr.Checkbox( | |
| value=False, label="Filter out images with low scores" | |
| ) | |
| with gr.Column(): | |
| lower_score_limit = gr.Textbox(value=0, label="Lower score limit") | |
| with gr.Row(): | |
| gr.Markdown( | |
| value="ImageReward model takes about **1,600 MB** of memory." | |
| ) | |
| with gr.Row(): | |
| unload_button = gr.Button(value="Unload Model From Memory") | |
| unload_button.click(unload_image_reward_model) | |
| return [filter_out_low_scores, lower_score_limit] | |
| def run(self, p, filter_out_low_scores, lower_score_limit): | |
| try: | |
| shared.image_reward_model # if loaded, do nothing | |
| except AttributeError: | |
| # load the model | |
| if sys.platform == "win32": | |
| download_root = HUGGINGFACE_HUB_CACHE | |
| else: | |
| download_root = None | |
| print(f"Loading ImageReward model from {download_root}...") | |
| shared.image_reward_model = reward.load( | |
| "ImageReward-v1.0", download_root=download_root | |
| ) # using shared to make the model object global among modules | |
| # preprocess parameters | |
| if lower_score_limit != "": | |
| lower_score_limit = float(lower_score_limit) | |
| # generate images | |
| proc = process_images(p) | |
| # score | |
| gens = proc.images | |
| with torch.no_grad(): | |
| for img in gens: | |
| score = shared.image_reward_model.score(p.prompt, img) | |
| img.info["score"] = score | |
| if img.info.get("parameters") is None: | |
| img.info["parameters"] = f"ImageReward Score: {score:.4f}" | |
| else: | |
| img.info["parameters"] += f"\n ImageReward Score: {score:.4f}" | |
| # filter out images with scores lower than the lower limit | |
| if filter_out_low_scores: | |
| imgs = list(filter(lambda x: x.info["score"] > lower_score_limit, gens)) | |
| else: | |
| imgs = gens | |
| # append score to info | |
| infotexts = [img.info["parameters"] for img in imgs] | |
| # sort to score | |
| img_info_list = list(zip(imgs, infotexts)) | |
| img_info_list.sort(key=lambda x: x[0].info["score"], reverse=True) | |
| imgs, infotexts = list(zip(*img_info_list)) | |
| # return Processed object | |
| return Processed( | |
| p=p, | |
| images_list=imgs, | |
| info=proc.info, | |
| seed=proc.seed, | |
| infotexts=infotexts, | |
| index_of_first_image=proc.index_of_first_image, | |
| ) |
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`
from imagereward.
tongyx361
commented on July 28, 2024
It looks like you have downloaded the HTML of a web page instead of our script code file. This is actually the wrong way to do it.
The contents of image_reward.py should be the following Python code:
ImageReward/sdwebui/image_reward.py
Lines 1 to 121 in ed5c202
instead of the HTML code starting with
<meta name="optimizely-datafile" content="{"groups": [], ...
from imagereward.
mageofthesands
commented on July 28, 2024
When I right click that script code file, and "save link as..." I get a file that starts off with
<!DOCTYPE html>
<html lang="en" data-color-mode="auto" data-light-theme="light" data-dark-theme="dark" data-a11y-animated-images="system">
<head>
<meta charset="utf-8">
<link rel="dns-prefetch" href="https://github.githubassets.com">
<link rel="dns-prefetch" href="https://avatars.githubusercontent.com">
<link rel="dns-prefetch" href="https://github-cloud.s3.amazonaws.com">
<link rel="dns-prefetch" href="https://user-images.githubusercontent.com/">
<link rel="preconnect" href="https://github.githubassets.com" crossorigin>
<link rel="preconnect" href="https://avatars.githubusercontent.com">
from imagereward.
mageofthesands
commented on July 28, 2024
I edited with .py with the information listed. I still get get an error that ImageReward is not installed.
from imagereward.
tongyx361
commented on July 28, 2024
When I right click that script code file, and "save link as..." I get a file that starts off with
<!DOCTYPE html> <html lang="en" data-color-mode="auto" data-light-theme="light" data-dark-theme="dark" data-a11y-animated-images="system"> <head> <meta charset="utf-8"> <link rel="dns-prefetch" href="https://github.githubassets.com"> <link rel="dns-prefetch" href="https://avatars.githubusercontent.com"> <link rel="dns-prefetch" href="https://github-cloud.s3.amazonaws.com"> <link rel="dns-prefetch" href="https://user-images.githubusercontent.com/"> <link rel="preconnect" href="https://github.githubassets.com" crossorigin> <link rel="preconnect" href="https://avatars.githubusercontent.com">I edited with .py with the information listed. I still get get an error that ImageReward is not installed.
The link we provided for the script file points to its GitHub page, not the raw content. So "save as link" will save the HTML code of the GitHub page, not the actual Python code of the script.
If the image_reward.py code you have is correct Python code yet still triggered an error, that would be strange.
Could you provide the full error message?
from imagereward.
mageofthesands
commented on July 28, 2024
from imagereward.
mageofthesands
commented on July 28, 2024
Starting from launching.
from imagereward.
tongyx361
commented on July 28, 2024
Starting from launching.
File "F:\AI\Diffusion\stable-diffusion-webui-directml\scripts\image_reward.py", line 1
import os
IndentationError: unexpected indent
The error above means the indentation syntax in your image_reward.py is wrong, which might be caused by some copying mistake.
You might try directly downloading the image_reward.py with the button shown below, and move it into the scripts/ directory.
from imagereward.
mageofthesands
commented on July 28, 2024
Steps followed. On launch, the software said that ImageReward was installed incorrectly, and it would now do so correctly. New issue. tqdm.exe is not found. I attempted to correct myself, but tqdm is already installed. It looks like Image Reward installed tqdm, but couldn't run it?
from imagereward.
tongyx361
commented on July 28, 2024
Steps followed. On launch, the software said that ImageReward was installed incorrectly, and it would now do so correctly. New issue. tqdm.exe is not found. I attempted to correct myself, but tqdm is already installed. It looks like Image Reward installed tqdm, but couldn't run it?
The key error message here is
WARNING: Failed to write executable - trying to use .deleteme logic
ERROR: Could not install packages due to an OSError: [WinError 2] The system cannot find the file specified: 'C:\\Python311\\\\Scripts\\\\tqdm.exe' -> 'C. \\\Python311\\Scripts\\\tqdm.exe.deleteme'
pip may have failed to write to the executable due to lack of permissions, etc., causing the "image-reward" pip package to fail to be installed.
"tqdm" is one of the dependencies of "image-reward". You are on the right track: you could try installing the "tqdm" package manually.
But you may have missed a special design of SD Web UI: webui-user.bat uses the automatically created venv environment, while you should have tried to install "tqdm" in the machine's Python when you fixed it, and the two environments are different, so the error was not fixed.
You can refer to this issue to try to install "tqdm" manually in venv, and install "image-reward" again.
from imagereward.
mageofthesands
commented on July 28, 2024
It's now loading. Script is working. Although, I guess I can't run it at the same time as the StylePile Script. On the image browser though, it's not letting me use the Generate ImageReward Scores for all images button.
I hope this has assisted in development of your software.
from imagereward.
tongyx361
commented on July 28, 2024
It's now loading. Script is working. Although, I guess I can't run it at the same time as the StylePile Script. On the image browser though, it's not letting me use the Generate ImageReward Scores for all images button. I hope this has assisted in development of your software.
Glad you got the error resolved! If you encounter any related errors/new bugs in the future, please feel free to reply under this issue/open a new one, so that we can work together to make this project better!👍
Regarding the issue with running other scripts at the same time, I'm sorry, but the SD Web UI hasn't supported running multiple scripts at the same time so far.
Also, from your reply and image, it looks like "the StylePile script" is integrated with ImageReward, and I'm glad that other developers are willing to use our work!
But I failed to retrieve ImageReward in the StylePile code repository. could you please provide a full UI screenshot of your last image? We'd like to get more insight into the application of our work.
from imagereward.
mageofthesands
commented on July 28, 2024
It doesn't look like there is any integration between the two. This is what a StylePile looks like. A bunch of variables, either set or pulled from random. I should be able to generate Image Reward scores from the image browser, right? That button is unusable.
from imagereward.
tongyx361
commented on July 28, 2024
It doesn't look like there is any integration between the two. This is what a StylePile looks like. A bunch of variables, either set or pulled from random. I should be able to generate Image Reward scores from the image browser, right? That button is unusable.
The UI is quite different from a usual SD Web UI's interface. Are you using the extension edition of StockPile? I wonder how I can get the same UI as yours.
It seems that you want to score these images with ImageReward? We're sorry that we could have been only able to ensure generating ImageReward Score with the ImageReward script. Perhaps you could use "Send to txt2img" or "Send to img2img" to use the script in the "txt2img" or "img2img" tab to generate ImageReward scores for the images.
from imagereward.
mageofthesands
commented on July 28, 2024
Ah, yes. I am using the "Catppuccin Theme". https://github.com/catppuccin/stable-diffusion-webui I wanted a dark mode. I couldn't see the tool tips otherwise. Also the Image Browser extension. https://github.com/AlUlkesh/stable-diffusion-webui-images-browser I forget what isn't default.
Are you saying that you didn't place that button there? It was there before I was able to get the script working.
from imagereward.
tongyx361
commented on July 28, 2024
Thank you so much! We'll delve into them soon. Please stay tuned.
from imagereward.
Related Issues (20)
- ReFL implement details HOT 2
- Can we train for sdxl? HOT 3
- Yet another question on standard deviation HOT 2
- Full refl_data.json for REFL HOT 1
- test custom model acc : 0.0% HOT 2
- LoRA models for ImageReward? HOT 1
- Strange training dynamics for ImageReward model. HOT 3
- a nccl problem HOT 1
- About Prompt Selection HOT 1
- cuda HOT 1
- How to understand the accuracy calculation method HOT 1
- About loading CLIPScore and BLIPScore HOT 1
- About the CUDA and torch version. HOT 1
- Training Novel Concepts HOT 1
- About the reward score HOT 1
- About the score range HOT 2
- 有没有可能把ImageReward用在生图过程中指导降噪？ HOT 1
- 缺陷分类对应的图片 HOT 1
- 推理阶段图像尺寸 HOT 1
- How to train stabilityai/stable-diffusion-xl-base-1.0 using ImageReward model HOT 5
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from imagereward.