Comments (5)
你好,多谢关注!
- 可以的,有一些3D的Reward使用了ImageReward,例如https://github.com/THU-LYJ-Lab/T3Bench 和 https://github.com/liuff19/DreamReward
- 只提供一个prompt和image完全可行,就是这么用的
- 这些图片类型没有验证过,应该需要专门微调一下
Hi, thanks for your attention! 1. it's possible, there are some 3D Rewards that use ImageReward, for example https://github.com/THU-LYJ-Lab/T3Bench https://github.com/liuff19/DreamReward 2. it's perfectly possible to provide only a prompt and an image, that's how it works! 3. these image types are not verified, they should need some special fine-tuning
from imagereward.
你好,多谢关注!
- 可以的,有一些3D的Reward使用了ImageReward,例如https://github.com/THU-LYJ-Lab/T3Bench 和 https://github.com/liuff19/DreamReward
- 只提供一个prompt和image完全可行,就是这么用的
- 这些图片类型没有验证过,应该需要专门微调一下
Hi, thanks for your attention! 1. it's possible, there are some 3D Rewards that use ImageReward, for example https://github.com/THU-LYJ-Lab/T3Bench https://github.com/liuff19/DreamReward 2. it's perfectly possible to provide only a prompt and an image, that's how it works! 3. these image types are not verified, they should need some special fine-tuning
十分感谢你的回复,这对我们十分重要。
当我们要训练ImageReward时,bash scripts/train_one_node.sh 没有被发现,请问是否可以提供
from imagereward.
https://github.com/THUDM/ImageReward/blob/main/train/scripts/train_one_node.sh
from imagereward.
https://github.com/THUDM/ImageReward/blob/main/train/scripts/train_one_node.sh
十分感谢你的回复
from imagereward.
您好,如果我在prompt中引入带有视角的描述,reward是否可以准确的评判。
from imagereward.
Related Issues (20)
- 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
- Reproducing all numbers in Tab 3 HOT 1
- dependency_links are ignored; manual installation of CLIP is requried
- 时间t的选择
- 训练问题
- The formation of the reward-loss function
- The fine-tuned SD released?
- [dataset] Collecting rankings from different annotators
- requires: timm==0.6.13, this causes comfyui to install timm back and forth due to different version requirements
- any progress on updating imagereward model?
- w/o prertain loss in the code
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from imagereward.