snowflakewang
snowflakewang
Hello, thank you for your brilliant work on feed-forward-style Image-to-3D generation! I have tried your work on the HuggingFace demo and it works well! I want to run your code...
Hello, I am sorry to bother you again. I notice that there are some Python scripts in the _threestudio/scripts_ folder (such as train_dreambooth.py, train_dreambooth_lora.py). Are these two scripts used to...
Hello, thank you for your brilliant work! Your results shown on the project page are really highly detailed. For example, your _3D CGI Pixar Lionel Messi artfully kicking paint-filled bottles_...
hello, thank you for your brilliant work in the fast feed-forward 3d generation model! i have tried your HuggingFace demo and it works well. I noticed that users can manipulate...
Hello, I am a student at University of Science and Technology of China. I am studying topics related to material estimation. Your work really impressed me. I would like to...
Hello, your excellent work impressed me a lot. As a novice in 3d vision and graphics, I would like to make some simple exploration based on your project. What I...
Hello, thank you for your great open-source work! I use Linux and a Python 3.9 virtual environment. I installed the _**pymeshlab==2023.12.post1**_. But I meet this problem when running code that...
Hello, thank you for your great work on transforming MVDream into the diffusers-standard format. I am inquisitive about how to obtain the checkpoints. I noticed that you have a script...
Hello, thank you for your work on adding a ControlNet on MVDream. I am curious about using multi-view (4-view for MVDream) images instead of only one image as input for...
In the _custum_3d_diffusion/custum_pipeline/unifield_pipeline_img2mvimg.py_, There is an error related to _noise_pred = self.unet(latent_model_input, t, encoder_hidden_states=image_embeddings, condition_latents=cond_latents, noisy_condition_input=False, cond_pixels_clip=image_pixels).sample_. The error is **TypeError: forward() got an unexpected keyword argument 'condition_latents'**. I have...