Comments (1)
Seems like running out of memory. In my case, deploying the demo takes up at least 8GB(and ~20GB in GPU memory).
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Related Issues (20)
- Expected all tensors to be on the same device HOT 2
- 变形 HOT 2
- Is there a reason why you chose the pretrained model as stable-diffusion-v1-5? HOT 1
- Performance drop compared to the demo HOT 3
- 生成中文
- 能不能选自己的字体,这个功能很重要
- How to generate picture with Chinese HOT 3
- 文字渲染问题 HOT 4
- I would like to change the pre-train model to stable-diffusion-3-medium and train it. Can you help me?
- Text editing issue HOT 1
- 从一个新的checkpoint继续训练,代码没有任何输出就结束运行了 HOT 1
- 無法解析dataset的json檔
- Is there a separate reason to set max_chars to 20? HOT 1
- 请问使用tool_add_anytext.py合成add_ocr_weights后的1.5系列模型就具有生成文字的能力了吗? HOT 2
- 是否有计划将sd部分升级到2.1 HOT 1
- 您好,我这边想问一下,就是我在运行damo.py后,在webUI界面添加Lora地址后,对生成出来的图像并不起作用,我仔细的看了damo.py文中,并没有说明Lora的模型在哪里起作用,而且我把底模换成SD1.5后,通过prompt提示词与具体想要生成的文字,然而,生成出来的图片中并没带有文字,我想问一下会是什么原因呢? HOT 1
- Need help
- 英文训练集 HOT 1
- 关注复现使用的200k数据 HOT 7
- 部署效果差 HOT 1
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