lllyasviel/ControlNet

Low VRAM tests (now 8GB ok, begin to solve 6gb)

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#3 opened on Feb 11, 2023

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 (21 comments) (3 reactions) (0 assignees)Python (2,500 forks)batch import
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Description

RuntimeError: CUDA out of memory. Tried to allocate 58.00 MiB (GPU 0; 8.00 GiB total capacity; 7.14 GiB already allocated; 0 bytes free; 7.26 GiB reserved in total by PyTorch) If reserved memory is >> allocated memory try setting max_split_size_mb to avoid fragmentation. See documentation for Memory Management and PYTORCH_CUDA_ALLOC_CONF

Contributor guide

Research direction
Diagnose the CUDA out of memory error by profiling GPU memory usage, checking for memory leaks or fragmentation, and consider reducing batch size or model size.
Tech stack
pythonpytorch
Domain
machine learningcomputer vision
Issue type
Bug
DifficultyEstimated implementation difficulty for a new contributor, from 1 for very small changes to 5 for expert-level work.
3
Estimated timeA rough time range for an experienced contributor to investigate, implement, test, and prepare a pull request.
1-3 hours
Activity statusHow available the issue appears right now: fresh, active, stale, blocked, or waiting on maintainer input.
Active
ClarityHow clearly the issue explains the expected change, acceptance criteria, and next step.
Clear
Prerequisites
PyTorchCUDA
Newbie friendlinessA 1-100 score estimating how approachable this issue is for first-time contributors.
30