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invokeai-configure downloaded only 32-bit safetensors, not 16-bit ones, even though the huggingface repo has .fp16.safetensors file available and I have precision set to auto. (I don't think setting the precision explicitly to float16 helped either.)
Reproduction plan:
run invokeai-configure
let it install stable-diffusion-v1-5
look in models/sd-1/main/stable-diffusion-v1-5/unet/, see it has the 3.4 GB safetensors file, not the 1.7 GB fp16.safetensors file.
The text was updated successfully, but these errors were encountered:
… config (#4129)
## What type of PR is this? (check all applicable)
- [ ] Refactor
- [ ] Feature
- [X] Bug Fix
- [ ] Optimization
- [ ] Documentation Update
- [ ] Community Node Submission
## Have you discussed this change with the InvokeAI team?
- [X] Yes
- [ ] No, because:
## Have you updated all relevant documentation?
- [X] Yes
- [ ] No
## Description
At install time, when the user's config specified "auto" precision, the
installer was downloading the fp32 models even when an fp16 model would
be appropriate for the OS.
## Related Tickets & Documents
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below.
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- Closes#4127
Is there an existing issue for this?
OS
Linux
GPU
cuda
VRAM
12GB
What version did you experience this issue on?
eb64265
What happened?
invokeai-configure downloaded only 32-bit safetensors, not 16-bit ones, even though the huggingface repo has
.fp16.safetensors
file available and I have precision set toauto
. (I don't think setting the precision explicitly tofloat16
helped either.)Reproduction plan:
invokeai-configure
models/sd-1/main/stable-diffusion-v1-5/unet/
, see it has the 3.4 GB safetensors file, not the 1.7 GB fp16.safetensors file.The text was updated successfully, but these errors were encountered: