33c23c19b6
Preliminary support for SDXL. ( #647 )
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* Preliminary support for SDXL.
* More SDXL support.
* More SDXL.
* Use the proper clip config.
* Querying for existing tensors.
* More robust test.
2023-08-29 09:00:04 +01:00
72ebb12bca
Remove some dead-code annotations. ( #629 )
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* Remove some dead-code annotations.
* More dead code removal.
* One more.
* CI fix.
2023-08-27 18:52:33 +01:00
c78ce76501
Add a simple Module trait and implement it for the various nn layers ( #500 )
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* Start adding the module trait.
* Use the module trait.
* Implement module for qmatmul.
2023-08-18 09:38:22 +01:00
5d99026fd2
F16 support for stable diffusion ( #488 )
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* F16 support for stable diffusion.
* Keep the attention bits in F32.
* Keep more of the attention bits in F32.
* More mixed precision support.
2023-08-17 13:48:56 +01:00
be21d7e75a
Fix the padding used in stable diffusion. ( #362 )
2023-08-09 13:23:59 +01:00
89d3926c9b
Fixes for the stable diffusion example. ( #342 )
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* Fixes for the stable diffusion example.
* Bugfix.
* Another fix.
* Fix for group-norm.
* More fixes to get SD to work.
2023-08-08 14:57:09 +01:00
fc265d9dcf
Some CLIP fixes for stable diffusion. ( #338 )
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* Some CLIP fixes for stable diffusion.
* Add the avg-pool2d operation on cpu.
2023-08-07 18:31:45 +01:00
5bb2fce998
Implement group-norm. ( #334 )
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* Implement group-norm.
* Add some testing for group-norm.
2023-08-07 06:53:05 +01:00
141df4ad2b
Main diffusion loop for the SD example. ( #332 )
2023-08-06 21:39:53 +01:00
d34039e352
Add a stable diffusion example ( #328 )
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* Start adding a stable-diffusion example.
* Proper computation of the causal mask.
* Add the chunk operation.
* Work in progress: port the attention module.
* Add some dummy modules for conv2d and group-norm, get the attention module to compile.
* Re-enable the 2d convolution.
* Add the embeddings module.
* Add the resnet module.
* Add the unet blocks.
* Add the unet.
* And add the variational auto-encoder.
* Use the pad function from utils.
2023-08-06 17:49:43 +01:00
