Comments (3)
Most of the time this has happened (historically, with this notebook) it's because the person hosting these models has changed the URL or taken them offline. I'm looking for a solution on my end which I can use to reupload and host these, since I have backups of each model.
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I have the models downloaded as well. I assume I can hack the code to source them. It seems to disconnect from the local versions when I use Google cloud for computing.
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CLIP-Guided Diffusion model refusing to download (with GD workspace, didn't check it with temporal workspace).
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Related Issues (17)
- video.mp4 not found HOT 1
- cant download 512 unconditional diffusion model HOT 1
- 'RuntimeError: CUDA out of memory' on P100 HOT 2
- name 'torch' is not defined HOT 1
- ModuleNotFoundError: No module named 'tensorflow.python.keras.engine.keras_tensor' HOT 2
- SSL error on downloading model
- Disconnect
- Error when trying to run Download pre-trained models
- Running Diffusion makes each rendered frame replace the previous frame HOT 2
- Error when trying to run VQGAN+CLIP
- FileNotFoundError: [Errno 2] No such file or directory: 'content/drive/MyDrive/FolderName/ProjectName/vqgan-steps/0235.png' HOT 2
- facehq not working HOT 3
- Any clue what to do with RuntimeError: CUDA out of memory. Tried to allocate… HOT 1
- Diffusion model fails to load with smaller image size setting HOT 1
- `MakeCutouts` overwritten in notebook s2ml HOT 1
- Color problem in ESRGAN output HOT 2
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