Amazing! thanks team. 000Z","type":"comment","data":{"edited":false,"hidden":false,"latest":{"raw":"amazing! great work! 👏\nis there a support for multi-gpus? (device_map=auto)","html":"<p>amazing! great work! 👏<br>is there a support for multi-gpus? 000Z","type":"comment","data":{"edited":false,"hidden":false,"latest":{"raw":"You should be able to incorporate that in different forms. co/docs/diffusers/main/en/training/distributed_inference","html":"<p>You should be able to incorporate that in different forms. 000Z","type":"comment","data":{"edited":false,"hidden":false,"latest":{"raw":"> You should be able to incorporate that in different forms. co/docs/diffusers/main/en/training/distributed_inference\nbeautiful! thank you, will try it today! \n","html":"<blockquote>\n<p>You should be able to incorporate that in different forms. co/docs/diffusers/main/en/training/distributed_inference</a><br>beautiful! thank you, will try it today! 000Z","type":"comment","data":{"edited":false,"hidden":false,"latest":{"raw":"lol... nope","html":"<p>lol... 000Z","type":"comment","data":{"edited":false,"hidden":false,"latest":{"raw":"Hi, can you tell me a bit about your motivations behind omitting all bias parameters in network architecture? ","html":"<p>Hi, can you tell me a bit about your motivations behind omitting all bias parameters in network architecture? 000Z","type":"comment","data":{"edited":false,"hidden":false,"latest":{"raw":"Amazing work! \nHas anyone already tried giving a depth map as a normal image? ","html":"<p>Amazing work! <br>Has anyone already tried giving a depth map as a normal image? 000Z","type":"comment","data":{"edited":false,"hidden":false,"latest":{"raw":"Could you share a colab notebook or a github gist with the code? ","html":"<p>Could you share a colab notebook or a github gist with the code? 000Z","type":"comment","data":{"edited":false,"hidden":false,"latest":{"raw":"I don't think group offload speeds things up. It is meant to be a trick to reduce memory usage. ","html":"<p>I don't think group offload speeds things up. It is meant to be a trick to reduce memory usage. 000Z","type":"comment","data":{"edited":true,"hidden":false,"latest":{"raw":"I wonder what ComfyUI uses. ","html":"<p>I wonder what ComfyUI uses. 000Z","type":"comment","data":{"edited":false,"hidden":false,"latest":{"raw":"do you have 32GB of free RAM? group offloading with cuda streams needs a lot of RAM but it's fast, anyway, here is really hard to give help, if you still have problems, please open an issue in the diffusers repo with the code and the error you're getting.