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Hi,
I'm using your implementation to generate MRIs. I have trained a VQ-VAE to reconstruct 3D MRIs, but I am unsure about which vectors to use for training the PixelCNN for sampling.
I attempted…
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When I try to finetune a 1step SDXL model with LoRA, I got an error:
Traceback (most recent call last):
File "main/train_sd.py", line 701, in
trainer.train()
File "main/train_sd.py", line…
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### Is there an existing issue for this?
- [X] I have searched the existing issues
### Contact Details
_No response_
### What should this feature add?
Support SDXL Checkpoint VAEs. For example, t…
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Hi, I am currently using one A100 40 doing test on lumina-t2v model, may I ask the gpu type used for training the T2V model. And I also wonder the number of frames?
My implementation follows these …
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an autoencoder can be used to generate other data but also for other purposes: feature extractor, anomaly detection ...
Thus it makes no sense to make the data generation in the model class. let's do…
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Hello,
I am trying to build a denoising auto encoder.
Is there a way to make the target data be different from the input data?
In particular, I want the input data to be noisy and the target data t…
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**Is your feature request related to a problem? Please describe.**
The current implementation of the dreambooth trainings for both loras and finetuning is very memory intensive.
**Describe the sol…
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### Summary
# Motivation
WasmEdge runtime provides inference support for AI models and LLMs (large language models, such as llama3 and phi-3-mini). Stable Diffusion is a popular category that we…
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FID (need inception model)
- [Fréchet distance](https://en.wikipedia.org/wiki/Fr%C3%A9chet_distance#As_a_distance_between_probability_distributions_(the_FID_score)) and [Inception score](https://en.w…