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[ECCV 2024] PowerPaint, a versatile image inpainting model that supports text-guided object inpainting, object removal, image outpainting and shape-guided object inpainting with only a single model....

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您好,想请问一下,该代码是否支持自制数据集的训练与测试?如果支持该如何进行训练配置呢?

你好,我是调用ppt-v2-1这个里面的模型,然后我想把整个代码都放在指定的gpu上,但是我在主代码中将模型放在指定的gpu上,后面导入外部模型开始运行后还是修改在默认gpu上,如何修改代码或者做其他操作,让整体包括过程中所有代码在指定gpu上?

for more stable generator. and for speed infer, can reference (lora, lcm) + [trt](https://github.com/NVIDIA/TensorRT/blob/release/10.5/demo/Diffusion/flux_pipeline.py)

help wanted

Almost got this running on Apple Silicon but it fails with multiple references to cuda which is unsupported on Apple GPUs. PyTorch is [capable of running on CPU](https://eitca.org/artificial-intelligence/eitc-ai-dlpp-deep-learning-with-python-and-pytorch/data-eitc-ai-dlpp-deep-learning-with-python-and-pytorch/datasets/can-pytorch-run-on-a-cpu/) and I've...

pip Could not find a version that satisfies the requirement petrel_client,How to install petrel_client?

at dev brach, init pipeline as following code, but the output image is covered with a red layer `# brushnet-based version unet = UNet2DConditionModel.from_pretrained( "stable-diffusion-v1-5/stable-diffusion-v1-5", subfolder="unet", revision=None, torch_dtype=weight_dtype, ) text_encoder...

@zengyh1900 我下载的laion数据集,每一张图会对应一个json ![image](https://github.com/user-attachments/assets/11f80e98-f61b-4990-a6b6-dcf3bdf53ca7) 问题1:你的laion数据集中,随机mask对应的提示词是上面json里面的caption吗? 问题2:如果是,我理解anno_info["remark"]是对应上面json,为什么prompt来自anno_info["content"],而不是来自remark 问题3:如果不是,anno_info["content"]是怎么来的,我理解随机mask对应的提示词是不是也得通过blip来获取? 问题4:可以提供几个样本和对应的annotation文件吗或者有一个文档能解释一下每一个文件的意义和构建来源,以及每一个字段的意义?方便我们清晰地知道你的数据结构是什么样的。 ![image](https://github.com/user-attachments/assets/33f9a160-925b-4dd4-8cfa-cc7af0d3dc9e)

![292253171722827717422](https://github.com/user-attachments/assets/8a95d90b-4723-4b0e-9dfb-fc468c311174) 两边很容易出现墙、框、之类的遮挡,请问怎么解决

![image](https://github.com/user-attachments/assets/8e381c27-4376-4738-b698-9ddac05565d3) https://huggingface.co/CompVis/stable-diffusion-v1-4/discussions/25