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  - stable-diffusion.cpp: [llama.cpp Feature-matrix](https://github.com/ggerganov/llama.cpp/wiki/Feature-matrix)
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  # Bravo
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- Combined imatrix multiple images 25 and 50 steps q8 euler
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  | Filename | Quant type | File Size | Description |
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  | -------- | ---------- | --------- | ----------- |
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- | - | IQ1_S | - | TBC |
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  # Alpha
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- Simple imatrix: 512x512 single image 8/20 steps q3_K_S euler data: `load_imatrix: loaded 314 importance matrix entries from imatrix.dat computed on 7 chunks`
 
 
 
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  Using [llama.cpp quantize cae9fb4](https://github.com/ggerganov/llama.cpp/commit/cae9fb4361138b937464524eed907328731b81f6).
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  ## Experimental from q8
 
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  - stable-diffusion.cpp: [llama.cpp Feature-matrix](https://github.com/ggerganov/llama.cpp/wiki/Feature-matrix)
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  # Bravo
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+ Combined imatrix multiple images 25 and 50 steps [city96/flux1-dev-Q8_0](https://huggingface.co/city96/FLUX.1-dev-gguf/blob/main/flux1-dev-Q8_0.gguf) euler
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  | Filename | Quant type | File Size | Description |
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  | -------- | ---------- | --------- | ----------- |
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+ | - | IQ1_S | TBC | TBC |
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  # Alpha
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+ Simple imatrix: 512x512 single image 8/20 steps [city96/flux1-dev-Q3_K_S](https://huggingface.co/city96/FLUX.1-dev-gguf/blob/main/flux1-dev-Q3_K_S.gguf) euler
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+ data: `load_imatrix: loaded 314 importance matrix entries from imatrix.dat computed on 7 chunks`.
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+
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  Using [llama.cpp quantize cae9fb4](https://github.com/ggerganov/llama.cpp/commit/cae9fb4361138b937464524eed907328731b81f6).
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  ## Experimental from q8