Ha young, Kim

Hi @juanfraherrero , thank you for your kind reply! I've tried fine-tuning using the base model provided by OpenLRM. If you're interested, please take a look at [this](https://github.com/3DTopia/OpenLRM/issues/41#issuecomment-2076567222)

Thank you @kunalkathare , I've tried with the following config, modified `epoch` and `global_step_period` : ```yaml ... train: mixed_precision: bf16 find_unused_parameters: false loss: pixel_weight: 1.0 perceptual_weight: 1.0 tv_weight: 5e-4 optim:...

Thank you for kind reply @kunalkathare ! * I don't have enough dataset for now, can I just copy the same data to increase the amount of it? * And...

Thank you for reply @SamBahrami . I want to try finetuning on the pretrained model, but don't know how to set up configs properly. There seems not to be any...

Hi @SamBahrami , I think I found a way to load a base model and finetune on it. As you can see below, the `configs/train_sample.yaml` file has `load_model` parameter on...

Below is the result of the inference based on the finetuned model from the OpenLRM's base model([openlrm-mix-large-1.1](https://huggingface.co/zxhezexin/openlrm-mix-large-1.1/tree/main)). * I've tried with my custom 400 data pairs, which are copied from...

Hi @Mrguanglei and @wensir66666 , belows are steps I've tried : 1. prepare dataset using the [blender script](scripts/data/objaverse/blender_script.py) you must first install the blender, then run the script as follows,...

Hi @JIK-2chaRa , could you please tell me how you configured those json files? I'm very new to AI, don't know how to properly prepare data and run the training...

Hi @juanfraherrero , since I'm very new to AI, not sure how to properly prepare data and run training. I've posted my question on this [issue](https://github.com/3DTopia/OpenLRM/issues/26#issuecomment-2058232009). Could you please check...

Hi @kunalkathare , thank you for the post, it was very helpful. By the way, since I'm very new to AI, don't know how to properly prepare data and run...