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Stable Diffusion training fails due to GPU detection error

By PulseAugur Editorial · [1 sources] ·

A user encountered a `ValueError` when attempting to train a Stable Diffusion model using an RTX 4090 GPU. The error message, "torch.cuda.is_available() should be True but is False," indicates that the system cannot detect the CUDA-enabled GPU, even though the user has confirmed CUDA toolkit and PyTorch installations, and Python reports CUDA availability. This issue prevents the use of xformers for memory-efficient attention, which is crucial for efficient training. AI

IMPACT Highlights potential configuration challenges when setting up AI model training environments, particularly with GPU utilization.

RANK_REASON User-facing technical issue with a specific software/hardware configuration.

Read on r/StableDiffusion →

AI-generated summary · Google Gemini · from 1 sources. How we write summaries →

Stable Diffusion training fails due to GPU detection error

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0 / 100
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Tool
User-facing technical issue with a specific software/hardware configuration.
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High
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101 days old
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COVERAGE [1]

  1. r/StableDiffusion TIER_2 English(EN) · /u/a_throwawayorsmthn ·

    Training Issue - ValueError: torch.cuda.is_available() should be True but is False. xformers' memory efficient attention is only available for GPU

    <!-- SC_OFF --><div class="md"><p>My computer has 2 GPUs: an Intel one which has been used by default, and an RTX 4090. Upon realizing I can assign specific GPUs for training, I keep encountering this issue when attempting to train with just the RTX GPU:</p> <pre><code>Traceback …

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