master-69efe3c

chore: make code cleaner

master-2eac844

fix: generate image correctly in img2img mode

master-134883a

feat: add TAESD implementation - faster autoencoder (#88)

* add taesd implementation

* taesd gpu offloading

* show seed when generating image with -s -1

* less restrictive with larger images

* cuda: im2col speedup x2

* cuda: group norm speedup x90

* quantized models now works in cuda :)

* fix cal mem size

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Co-authored-by: leejet <[email protected]>

master-f99bcd1

fix: detect model format base on file content

master-d7af2c2

feat: load weights from safetensors and ckpt (#101)

master-8a87b27

fix: allow model and vae using different format

master-47dd704

fix: avoid build fail on msvc (#93)

master-f469b83

fix: reading memory of stack allocated object past its scope (#91)

master-8124588

feat: ggml-alloc integration and gpu acceleration (#75)

* set ggml url to FSSRepo/ggml

* ggml-alloc integration

* offload all functions to gpu

* gguf format + native converter

* merge custom vae to a model

* full offload to gpu

* improve pretty progress

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Co-authored-by: leejet <[email protected]>

master-ae1d5dc

feat: allow LoRAs with negative multiplier (#83)

* Allow Loras with negative weight, too.

There are a couple of loras, which serve to adjust certain concepts in
both positive and negative directions (like exposure, detail level etc).

The current code rejects them if loaded with a negative weight, but I
suggest that this check can simply be dropped.

* ignore lora in the case of multiplier == 0.f

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Co-authored-by: Urs Ganse <[email protected]>
Co-authored-by: leejet <[email protected]>