Comments (2)
This error isn't related to model installation. It's saying your GPU does not have enough VRAM. We don't expect SDXL models to work with a 6GB card - you need 8GB VRAM.
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but in the previous version, I could use it with 6 GB of VRAM, and now I can't. That's the point. This is forcing me to install the previous version, which does give me results.
As depicted in the images, I have installed the previous version without encountering any issues when executing a prompt for the Juggernaut-XL-v9 and dreamshaper-xl-v2-turbo models. I initially anticipated the optimization to be advantageous, but encountered the previously communicated errors. I would prefer if at least this optimization were present. I am unsure if it was coincidental that these models functioned or if it was intentionally implemented, similarly to the errors encountered when installing Civitai models.
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Related Issues (20)
- [enhancement]: Support SDXL Checkpoint VAEs HOT 4
- [enhancement]: Need better Toast text for loading model defaults
- [bug]: Weird Memory Error HOT 6
- [enhancement]: Update re-downloads Pytorch and others every time HOT 3
- [bug]: Older metadata not loading control layer
- [enhancement]: Add support empty LoRA Collect HOT 1
- [bug]: Unable to connect via LAN HOT 1
- [bug]: Import error
- [enhancement]: add straight line to brush canvas
- [enhancement]: Update documentation on Infill & Scaling
- [enhancement]: Inpainting node HOT 1
- [enhancement]: Stable Diffusion 3 HOT 2
- Error while trying to use regional guidance with IPAdapter
- [bug]: Stable diffusion 3 install Unauthorized error, but I have setup huggingface token and accepted sd3 licience HOT 2
- [bug]: Converting checkpoint to diffusers fails
- [enhancement]: CFG++ HOT 4
- [bug]: Pasting paths with quotes into Model Manager gives an error
- [bug]: Old broken scripts not removed when updating/installing
- [enhancement]: Improve python error message during installation
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