Comments (2)
Thanks - can't say I tested with other sizes, and as i happens the size you picked does that! I'll call it a feature ;) For now, if you change the size to 256 256 it will centre zoom as expected.
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The new version should now zoom into the centre with user specified sizes such as 250 250. Turns out certain image sizes aren't quite what they say they are (with 250 being converted into 240 for the perceptor). The zoom is now based on this size, rather than the user provided size.
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Related Issues (20)
- Do we need to train VQGAN and CLIP together? HOT 2
- ImportError: cannot import name 'instantiate_from_config' HOT 1
- zoom.sh and random.sh file issue HOT 1
- RuntimeError: PytorchStreamReader HOT 1
- CUDA out of memory HOT 1
- "nan" losses issue for some small subset of users HOT 10
- Error with python generate.py -p command after updating to the latest version of Anaconda HOT 3
- Image sizes question HOT 1
- Metal Performance Shaders (MPS) Support
- Yaml.scanner.ScannerError: mapping values are not allowed here HOT 1
- Generate.py file not found from tutorial HOT 1
- Running Locally HOT 1
- I'm having an issue trying to get this working on my own pc. HOT 2
- How to use multiple models at once?
- RuntimeError: cusolver error: CUSOLVER_STATUS_INTERNAL_ERROR, when calling `cusolverDnCreate(handle) HOT 2
- **completely unusable colab!!!** ModuleNotFoundError: No module named 'torch._six' HOT 2
- is vqgan+clip colab dead? HOT 1
- clip loss
- Doubts about generating image results
- ModuleNotFoundError: No module named 'torch._six' HOT 1
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