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feat: add token weighting support (#13)
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@@ -16,6 +16,7 @@ Inference of [Stable Diffusion](https://github.com/CompVis/stable-diffusion) in
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- AVX, AVX2 and AVX512 support for x86 architectures
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- Original `txt2img` and `img2img` mode
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- Negative prompt
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- [stable-diffusion-webui](https://github.com/AUTOMATIC1111/stable-diffusion-webui) style tokenizer (not all the features, only token weighting for now)
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- Sampling method
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- `Euler A`
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- Supported platforms
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@@ -30,7 +31,6 @@ Inference of [Stable Diffusion](https://github.com/CompVis/stable-diffusion) in
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- [ ] Make inference faster
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- The current implementation of ggml_conv_2d is slow and has high memory usage
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- [ ] Continuing to reduce memory usage (quantizing the weights of ggml_conv_2d)
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- [ ] [stable-diffusion-webui](https://github.com/AUTOMATIC1111/stable-diffusion-webui) style tokenizer (eg: token weighting, ...)
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- [ ] LoRA support
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- [ ] k-quants support
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- [ ] Cross-platform reproducibility (perhaps ensuring consistency with the original SD)
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