Hello,
I'm assuming that I'm not using this on a fully supported system but I cannot get this to run on Android with Termux.
I generated a q4_1 version of the standard 1.5 model with the Python script and followed the basic guide to setting everything up.
~/stable-diffusion.cpp/build $ ./bin/sd -m ../models/v1-5-pruned-emaonly-ggml-model-q4_1.bin -p "A cityscape at sunset, oil painting" -v
Option:
n_threads: 4
mode: txt2img
model_path: ../models/v1-5-pruned-emaonly-ggml-model-q4_1.bin
output_path: output.png
init_img:
prompt: A cityscape at sunset, oil painting
negative_prompt:
cfg_scale: 7.00
width: 512
height: 512
sample_method: eular a
sample_steps: 20
strength: 0.75
seed: 42
System Info:
BLAS = 0
SSE3 = 0
AVX = 0
AVX2 = 0
AVX512 = 0
AVX512_VBMI = 0
AVX512_VNNI = 0
FMA = 0
NEON = 1
ARM_FMA = 1
F16C = 0
FP16_VA = 0
WASM_SIMD = 0
VSX = 0
[INFO] stable-diffusion.cpp:2687 - loading model from '../models/v1-5-pruned-emaonly-ggml-model-q4_1.bin'
[DEBUG] stable-diffusion.cpp:2695 - verifying magic
[DEBUG] stable-diffusion.cpp:2706 - loading hparams
[INFO] stable-diffusion.cpp:2712 - ftype: q4_1
[DEBUG] stable-diffusion.cpp:2718 - loading vocab
[DEBUG] stable-diffusion.cpp:2746 - ggml tensor size = 272 bytes
[DEBUG] stable-diffusion.cpp:2751 - clip params ctx size = 75.02 MB
[DEBUG] stable-diffusion.cpp:2770 - unet params ctx size = 1287.24 MB
[DEBUG] stable-diffusion.cpp:2791 - vae params ctx size = 95.51 MB
[DEBUG] stable-diffusion.cpp:2812 - preparing memory for the weights
[DEBUG] stable-diffusion.cpp:2828 - loading weights
[DEBUG] stable-diffusion.cpp:2932 - model size = 1454.34MB
[INFO] stable-diffusion.cpp:2941 - total params size = 1454.64MB (clip 73.80MB, unet 1286.34MB, vae 94.51MB)
[INFO] stable-diffusion.cpp:2943 - loading model from '../models/v1-5-pruned-emaonly-ggml-model-q4_1.bin' completed, taking 1.32s
terminating with uncaught exception of type std::__ndk1::regex_error: The parser did not consume the entire regular expression.
Aborted
Hello,
I'm assuming that I'm not using this on a fully supported system but I cannot get this to run on Android with Termux.
I generated a q4_1 version of the standard 1.5 model with the Python script and followed the basic guide to setting everything up.