Nicky Cheng
Nicky Cheng
Hello, I have simplified the inpaint fine tuning and made some inference example in my repo. Feel free to check it https://github.com/nickyisadog/latent-diffusion-inpainting/tree/main
The autoencoder will accept an masked image and gives an 128 features. Then it will concat with the mask (downsample to 128). the input should be [batch_size,7,128,128] to the Unet....
Hello, I have simplified the inpaint fine tuning and made some inference example in my repo. Feel free to check it https://github.com/nickyisadog/latent-diffusion-inpainting/tree/main
> > hello,how did you train the inpainting model with your own dataset?Could you give me some advice about dataset setting.Thank you very much. > > 你可以训练了？？求救 Hello, I have...
resolved?
可以啊 在finetune_.lora.sh 改成 MODEL="openbmb/MiniCPM-Llama3-V-2_5-int4" --tune_vision false --deepspeed ds_config_zero3.json 就可以了