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https://github.com/vladmandic/automatic
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auto uninstall pynvml
Signed-off-by: Vladimir Mandic <mandic00@live.com>
This commit is contained in:
@@ -43,6 +43,7 @@
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- **reference models** additional example images, thanks @liutyi
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- **video** support for configurable multi-stage models such as WAN-2.2-14B
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- **video** new LTX model selection
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- replace `pynvml` with `nvidia-ml-py` for gpu monitoring
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- **Fixes**
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- framepack: add explicit hf-login before framepack load
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- benchmark: remove forced sampler from system info benchmark
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@@ -877,6 +877,7 @@ def install_torch_addons():
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install('pillow-jxl-plugin==1.3.4', 'pillow-jxl-plugin')
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if not args.experimental:
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uninstall('wandb', quiet=True)
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uninstall('pynvml', quiet=True)
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ts('addons', t_start)
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@@ -80,13 +80,13 @@ def process_pre(p: processing.StableDiffusionProcessing):
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pag.apply(p)
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cfgzero.apply(p)
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linfusion.apply(shared.sd_model)
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cachedit.apply_cache_dit(shared.sd_model)
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# apply-only
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sd_hijack_freeu.apply_freeu(p)
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transformer_cache.set_cache()
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para_attention.apply_first_block_cache()
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teacache.apply_teacache(p)
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cachedit.apply_cache_dit(shared.sd_model)
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except Exception as e:
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shared.log.error(f'Processing apply: {e}')
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errors.display(e, 'apply')
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