asfiyab-nvidia

A few comments 1. Please update the example usage in the [README ](https://github.com/huggingface/diffusers/tree/main/examples/community#tensorrt-text2image-stable-diffusion-pipeline)as well. 2. Based on my testing, the pipeline needs a few more updates in the __init__ call....

Reviving this PR. The main issue observed is that the type of `num_frames` changes based on the operation performed. Elaborating using 2 cases below. Please print the `type(num_frames)` [here ](https://github.com/huggingface/diffusers/blob/main/src/diffusers/models/unets/unet_spatio_temporal_condition.py#L400)to...

> @asfiyab-nvidia would you suggest anything being done differently in this PR? The main goal is to align the types. An alternative to the change suggested in the PR is...

Hi, following up on this PR.

Hi @echarlaix @sayakpaul requesting updates based on the latest comments. Thanks

@Bhavay-2001 do you have an update on this? Are you able to run the existing example ``` import torch from diffusers import DDIMScheduler from diffusers.pipelines import DiffusionPipeline # Use the...

@yiyixuxu @tolgacangoz I've updated the pipeline locally and resolved the errors. There are also some API changes with TRT 10.0 that are included. Can I go ahead and update this...

@algorithmconquer the flux demo should now run on L40S as we have added memory optimizations in release/10.6. Can you please try again and update here?

The T5 model enablement in the TRT pipeline is ongoing and will be available in a few releases. I'll update here when we have a solid timeline

INT8 support has not been added to the Flux pipeline yet. Next release will showcase FP8 and BF16 support