-
Hi, I tried a test about compiling unet(torch.float16), which is the part of StableDiffusionXLPipeline in Inferentia2.8xlarge and it failed.
When the latent size of unet is (64, 64), it did not fai…
-
I converted an SDXL model to LCM Diffusers format.
It created the files, but the following files are in the unet folder:
```
config.json
diffusion_pytorch_model.bin.index.json
diffusion_pytorch_m…
-
python main.py --function test --config configs/cub_stage2.yml --opt "{'test': {'load_token_path': 'ckpts/cub983/tokens/', 'load_unet_path': 'ckpts/cub983/unet/', 'save_log_path': 'ckpts/cub983/log.tx…
-
I'm getting error when running UNet2D inference:
```
root@ip-172-31-0-126:/Model-References/PyTorch/computer_vision/segmentation/Unet# python main.py --exec_mode predict --task 01 --hpus 1 --fold 3 …
-
**Describe the bug**
I follow the [tutorial](https://github.com/NVIDIA/NeMo/blob/main/tutorials/multimodal/SDXL%20Quantization.ipynb) convert a model download from https://huggingface.co/stabilityai/…
-
I converted an SDXL model to Diffusers format using the official Diffusers convert_original_stable_diffusion_to_diffusers.py file. It created the files, but the following files are in the unet folder:…
-
### System Info
```Shell
- `Accelerate` version: 0.33.0
- `accelerate` bash location: /miniconda3/envs/SDXL/bin/accelerate
- Python version: 3.10.14
- Numpy version: 1.24.4
- PyTorch version (…
-
# U-Net for Semantic Segmentation | AI Blog
In this post we will implement U-Net from scratch in Pytorch
[https://n3ry7.github.io/blog/posts/unet_from_scratch/](https://n3ry7.github.io/blog/posts/un…
-
### Describe the bug
Reading this [documentation](https://huggingface.co/docs/diffusers/en/using-diffusers/img2img#image-to-upscaler-to-super-resolution) which is not possible.
Indeed, [super resolu…
-
### Describe the bug
The SDXL model was fine-tuned using the rslora method and the training process was fine-tuned.
After the training, the Lora model was saved and then the lora model was reloaded …