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* onnx: fix pad, unsqueeze (#2317)shua2024-07-231-1/+1
* Utilize batches in Stable Diffusion (#2071)NorilskMajor2024-04-162-17/+60
* Improve the error message on overlong prompts. (#1908)Laurent Mazare2024-03-211-0/+14
* Add a --seed argument to the stable-diffusion example. (#1812)Niklas Hallqvist2024-03-081-0/+8
* Fix typo in README (#1740)Daniel Varga2024-02-221-1/+1
* Format properly the Stable Diffusion example run with params (#1511)stano2024-01-011-1/+1
* Add more mentions to SDXL Turbo in the readme. (#1397)Laurent Mazare2023-12-031-6/+16
* Stable Diffusion Turbo Support (#1395)Edwin Cheng2023-12-031-31/+90
* fix: address clippy 0.1.74 issues (#1336)drbh2023-11-161-2/+2
* Mention the flash-attention restriction in the readme. (#1158)Laurent Mazare2023-10-231-0/+3
* Remove some unusued bits. (#1067)Laurent Mazare2023-10-091-1/+0
* Override the repo for SDXL f16 vae weights. (#1064)Laurent Mazare2023-10-091-2/+13
* Add the clamping for stable-diffusion. (#1041)Laurent Mazare2023-10-051-2/+1
* Use the module trait in stable-diffusion. (#817)Laurent Mazare2023-09-111-1/+1
* Stable-Diffusion readme (#814)Laurent Mazare2023-09-112-0/+63
* Move the stable-diffusion modeling code so that it's easier to re-use. (#812)Laurent Mazare2023-09-1112-3303/+1
* Fix for cudnn to work with img2img. (#753)Laurent Mazare2023-09-061-0/+2
* img2img pipeline for stable diffusion. (#752)Laurent Mazare2023-09-062-11/+85
* Add a custom softmax implementation. (#744)Laurent Mazare2023-09-051-1/+1
* Simplify usage of the pool functions. (#662)Laurent Mazare2023-08-291-1/+1
* Dilated convolutions (#657)Laurent Mazare2023-08-291-0/+2
* Use multiple transformer layer in the same cross-attn blocks. (#653)Laurent Mazare2023-08-294-22/+43
* Preliminary support for SDXL. (#647)Laurent Mazare2023-08-294-57/+253
* Remove some dead-code annotations. (#629)Laurent Mazare2023-08-274-15/+0
* Trace softmax (#568)Laurent Mazare2023-08-231-3/+8
* Add some group parameter to convolutions. (#566)Laurent Mazare2023-08-234-4/+10
* Print some per-step timings in stable-diffusion. (#520)Laurent Mazare2023-08-201-1/+4
* dinov2 - read images from disk and compute the class probabilities (#503)Laurent Mazare2023-08-182-21/+2
* Add a simple Module trait and implement it for the various nn layers (#500)Laurent Mazare2023-08-187-0/+7
* F16 support for stable diffusion (#488)Laurent Mazare2023-08-176-43/+99
* Flash-attention support in stable diffusion (#487)Laurent Mazare2023-08-175-32/+78
* Track the conv2d operations in stable-diffusion. (#431)Laurent Mazare2023-08-136-22/+144
* Allow using accelerate with stable-diffusion. (#430)Laurent Mazare2023-08-131-0/+3
* Stable diffusion: retrieve the model files from the HF hub. (#414)Laurent Mazare2023-08-112-34/+71
* Fix the stable-diffusion vae. (#398)Laurent Mazare2023-08-102-4/+4
* Write the generated images using the image crate. (#363)Laurent Mazare2023-08-092-6/+25
* Fix the padding used in stable diffusion. (#362)Laurent Mazare2023-08-092-5/+4
* Fixes for the stable diffusion example. (#342)Laurent Mazare2023-08-084-6/+17
* Some CLIP fixes for stable diffusion. (#338)Laurent Mazare2023-08-072-14/+10
* Skeleton for the avg-pool2d and upsample-nearest2d ops. (#337)Laurent Mazare2023-08-072-15/+4
* Simple pad support. (#336)Laurent Mazare2023-08-073-7/+5
* Implement group-norm. (#334)Laurent Mazare2023-08-072-6/+2
* Main diffusion loop for the SD example. (#332)Laurent Mazare2023-08-063-8/+242
* Add the recip op + use it in stable-diffusion. (#331)Laurent Mazare2023-08-061-5/+13
* Add the ddim scheduler. (#330)Laurent Mazare2023-08-065-0/+445
* Add a stable diffusion example (#328)Laurent Mazare2023-08-069-0/+2560
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