Comments (2)
Yeah, I think you should be able to. These notebook apps can run arbitrary python packages, and I know that some have gotten this up and running on Google Colab. However, I'm not familiar with Gradient (or Colab for that matter) and I can't offer you any help with the install. If you do get it up and running on Gradient, would you be willing to write a brief HOWTO to help others along?
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@lstein , could you share the link to the colab notebook. (with textual inversion + inference using checkpoint)
I have trained in colab , but the issue comes when trying to run inference , "a photo of *" , it was failing on colab.
I have downloaded the checkpoint (.pt files) locally , and if you have a colab link I can test it out there.
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Related Issues (20)
- [bug]: 'argument of type 'NoneType' is not iterable' for training embeddings with SDXL HOT 3
- [bug]: ValueError: The SDXL LoRA could only be partially converted to diffusers format. converted=722, not_converted=560 HOT 7
- [enhancement]: Controlnet - Depth Hand Refiner HOT 2
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- [bug]: Get RuntimeError when using AMD gpu HOT 1
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- [bug]: Can't Launch or Fix Installation (MetadataIncompleteBuffer and CLIP-ViT-bigG-14-laion2B-39B-b160k missing) HOT 1
- [2024-02-19 17:47:19,003]::[InvokeAI]::WARNING --> Failed to get graph state for 6bc4c6f8-f70d-451d-98e0-3fb05387d4e5.[bug]: HOT 2
- [enhancement]: Patch/Healing Brush tool for Unified Canvas
- [enhancement]: Support Download Name & Location for Bulk Downloads HOT 5
- [bug]: AMD HIP out of memory when generating more than one image at 1280x720 HOT 5
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- [enhancement]: Improve Context in Outpainting
- [enhancement]: The ControlNet preview should accurately display the image as it will be sent to AI model when ControlNet is set to crop or resize the input image. HOT 4
- [bug]: Torch not compiled with CUDA enabled HOT 2
- [enhancement]: Add option to crop & resize images in Invoke's gallery.
- [enhancement]: Metadata should support multi-image IP adapters
- Update fails with [WinError 5] Access is denied HOT 2
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