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This is a general question about reconstructing data after training the VAE, that is, passing the original data into the encoder and decoder...
In the code examples of these VAEs, the reconstructio…
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In log file, you can see the "do_pretraining : False"
Can someone explain How to use this option in configuration file ?
Thanks !
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Following models are proposed to be added:
- [x] Adversarial Autoencoders
- [x] ~Adversarial Variational Bayes~
- [ ] ALI/BiGAN
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2070S-8G,
![QQ截图20240602063228](https://github.com/lllyasviel/Omost/assets/129571231/df20492f-da25-47e2-8eac-8d376c12831a)
`
Unload to CPU: CLIPTextModel
Load to GPU: UNet2DConditionModel
100%|██…
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The documentation should include:
* Fitting options (Image classification, volume pairs, callbacks).
* Layer activation functions.
* How to hide or override warnings and errors when optimizing a NN…
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Currently, we have got a failing test:
```
tests/pipelines/stable_diffusion/test_stable_diffusion_inpaint.py::StableDiffusionInpaintPipelineSlowTests::test_single_file_component_configs
```
An…
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Why does the Latent Diffusion Model use **variational autoencoders (VAE)** or similar generative models like **VQ-GAN/VAE** for compression instead of using **AutoEncoder (AE)?** If AE can be consider…
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List of changes:
-Make text and images active links. Remove links "Main" and "Picker" (see Issue #81)
-Replacement images
-Change order to "Region", "Cell", "Nuclear"
-Region text - Title "Region"…
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See [commit details](https://github.com/huggingface/diffusers/commit/531e719163d2d7cf0d725bb685c1e8fe3393b9da) in [diffusers](https://github.com/huggingface/diffusers)
Ignore this commit *temporari…
XSE42 updated
2 weeks ago
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Greeting developers,
When assigning in the configuration file (_test-autoencoder-novelty.cfg_) **num_hidden > 0**
![config_file](https://user-images.githubusercontent.com/24464688/142780404-cf…