Comments (2)
Veldrovive
commented on June 30, 2024
The two models combined are larger than 12gb so there is not much we can do about the newest models. I will be adding a config option to load just in time instead of preload, but it won't help as we scale further. Unfortunately, this is just where ML is headed.
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nousr
commented on June 30, 2024
I believe this has been answered, if you have further questions feel free to re-open the issue with additional details regarding your question :D !
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Related Issues (20)
- What pretraining datasets do you use? HOT 1
- support ddim sampling? HOT 1
- Cuda:1 doesnt work HOT 1
- Run on cpu HOT 2
- Error has occurred in google colab notebook HOT 3
- Colab Notebook Error: KeyError: 'decoder_path' HOT 1
- Train DALL-E2 on my own dataset HOT 1
- about pre-trained models HOT 1
- gradio_inference: DuplicateBlockError HOT 2
- example_inference produces noise HOT 4
- How to finetune with the pretrained model？ HOT 2
- Inpainting using pretrained models
- RuntimeError: mat1 and mat2 shapes cannot be multiplied (1x10 and 768x1280) HOT 2
- HW Requirements for running example_inference.py HOT 1
- Error message after install HOT 3
- RuntimeError: "addmm_impl_cpu_" not implemented for 'Half'
- bad results when generating images with inference code
- How to combine the huggingface pretrained models with you repository?
- No configs on Huggingface
- bad results when generating images with inference code HOT 1
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