Now not working was going great
Hi Love this looks fantastic. I knew there must be a way of combining open pose with diffusion. Had it working great on a previous commit. Rebuilt environment and a fresh pull and re downloaded models Now if fails after Loaded model config from [./models/cldm_v15.yaml] Killed
any help?
killed generally means you ran out of memory
Thanks but my my V Ram is barley touched (almost nothing used of 12GB) but normal ram is getting quite high but does not seem to max out and it was running fine. Maybe I lost something with the environment rebuild?
yeah killed would be for normal ram getting maxed. Possible to not see in an activity monitor because it quickly kills the process.
Thanks - hmmm 16gb not enough?
no idea. could be you have too many other things open. could be a bug in the code here.
RAM maxxing out here too, on 12gb free collab notebooks.
we are looking into this https://github.com/lllyasviel/ControlNet/pull/25
no idea. could be you have too many other things open. could be a bug in the code here.
RAM maxxing out here too, on 12gb free collab notebooks.
Forgive my ignorance, but is there a link i missed somewhere? Did you make your own Colab notebook? Could you share it and/or explain how?
Edit: fwiw, I'm personally not concerned with training yet, just trying to get image generation working.
no idea. could be you have too many other things open. could be a bug in the code here.
RAM maxxing out here too, on 12gb free collab notebooks.
Forgive my ignorance, but is there a link i missed somewhere? Did you make your own Colab notebook? Could you share it and/or explain how?
Edit: fwiw, I'm personally not concerned with training yet, just trying to get image generation working.
No worries here you go, depth map maxes out RAM the scribble map one is fine https://colab.research.google.com/drive/1VRrDqT6xeETfMsfqYuCGhwdxcC2kLd2P?usp=sharing
you can try automatic1111 extension too
It works amazingly well and supports xformers as well now since automatic1111 supports
Also not anymore you need a merged ckpt files
It works with any custom model as well
16.) Automatic1111 Web UI
Sketches into Epic Art with 1 Click: A Guide to Stable Diffusion ControlNet in Automatic1111 Web UI
Hi, i faced the same problem and it is because the model is not releasing the memory after inference i had to use:
torch.cuda.empty_cache()
gc.collect()
before the return statement in the process function
@fkite-cs Can you please mention which file should i find the process function in.
@faiza333 you can find that function in any gradio file of the repository i.e gradio_scribble2image.py
all duplicate concerning "RAM and out of memory exceptions (OOM)": https://github.com/lllyasviel/ControlNet/issues/21 https://github.com/lllyasviel/ControlNet/issues/33 https://github.com/lllyasviel/ControlNet/issues/191 https://github.com/lllyasviel/ControlNet/issues/236 https://github.com/lllyasviel/ControlNet/issues/241 https://github.com/lllyasviel/ControlNet/issues/247 https://github.com/lllyasviel/ControlNet/issues/294 https://github.com/lllyasviel/ControlNet/issues/301