ControlNet crashes when processing high-resolution reference images with the Canny preprocessor enabled. The issue only occurs with large images while smaller resolutions (like 512x512) work fine
./build/bin/sd -m models/realisticVisionV60B1_v51HyperVAE.safetensors --control-net models/control_v11p_sd15_canny.pth --control-image input_test.png --canny -W 640 -H 512 -v -p "cute cat, lego style" --type q8_0
Option: n_threads: 2
mode: txt2img
model_path: models/realisticVisionV60B1_v51HyperVAE.safetensors
wtype: q8_0
clip_l_path: clip_g_path: t5xxl_path: diffusion_model_path: vae_path: taesd_path: esrgan_path: controlnet_path: models/control_v11p_sd15_canny.pth
embeddings_path: stacked_id_embeddings_path: input_id_images_path: style ratio: 20.00
normalize input image :false
output_path: output.png
init_img: mask_img: control_image: input_test.png
clip on cpu: false
controlnet cpu: false
vae decoder on cpu:false
diffusion flash attention:false
strength(control): 0.90
prompt: cute cat, lego style
negative_prompt: min_cfg: 1.00
cfg_scale: 7.00
slg_scale: 0.00
guidance: 3.50
eta: 0.00
clip_skip: -1
width: 640
height: 512
sample_method: euler_a
schedule: default
sample_steps: 20
strength(img2img): 0.75
rng: cuda
seed: 42
batch_count: 1
vae_tiling: false
upscale_repeats: 1
System Info: SSE3 = 1
AVX = 1
AVX2 = 1
AVX512 = 1
AVX512_VBMI = 1
AVX512_VNNI = 1
FMA = 1
NEON = 0
ARM_FMA = 0
F16C = 1
FP16_VA = 0
WASM_SIMD = 0
VSX = 0
[DEBUG] stable-diffusion.cpp:188 - Using CPU backend
[INFO ] stable-diffusion.cpp:197 - loading model from 'models/realisticVisionV60B1_v51HyperVAE.safetensors'
[INFO ] model.cpp:908 - load models/realisticVisionV60B1_v51HyperVAE.safetensors using safetensors format
[DEBUG] model.cpp:979 - init from 'models/realisticVisionV60B1_v51HyperVAE.safetensors'
[INFO ] stable-diffusion.cpp:244 - Version: SD 1.x [INFO ] stable-diffusion.cpp:277 - Weight type: q8_0
[INFO ] stable-diffusion.cpp:278 - Conditioner weight type: q8_0
[INFO ] stable-diffusion.cpp:279 - Diffusion model weight type: q8_0
[INFO ] stable-diffusion.cpp:280 - VAE weight type: q8_0
[DEBUG] stable-diffusion.cpp:282 - ggml tensor size = 400 bytes
[DEBUG] clip.hpp:171 - vocab size: 49408
[DEBUG] clip.hpp:182 - trigger word img already in vocab
[DEBUG] ggml_extend.hpp:1174 - clip params backend buffer size = 231.50 MB(RAM) (196 tensors)
[DEBUG] ggml_extend.hpp:1174 - unet params backend buffer size = 1400.64 MB(RAM) (686 tensors)
[DEBUG] ggml_extend.hpp:1174 - vae params backend buffer size = 94.47 MB(RAM) (140 tensors)
[DEBUG] stable-diffusion.cpp:419 - loading weights
[DEBUG] model.cpp:1727 - loading tensors from models/realisticVisionV60B1_v51HyperVAE.safetensors
|==================================================| 1130/1130 - 125.00it/s
[INFO ] control.hpp:434 - loading control net from 'models/control_v11p_sd15_canny.pth'
[DEBUG] ggml_extend.hpp:1174 - control_net params backend buffer size = 937.60 MB(RAM) (340 tensors)
[INFO ] model.cpp:911 - load models/control_v11p_sd15_canny.pth using checkpoint format
[DEBUG] model.cpp:1445 - init from 'models/control_v11p_sd15_canny.pth'
ZIP 0, name = control_v11p_sd15_canny/data.pkl, dir = control_v11p_sd15_canny/ [DEBUG] model.cpp:1727 - loading tensors from models/control_v11p_sd15_canny.pth
|==================================================| 340/340 - 0.00it/s
[INFO ] control.hpp:453 - control net model loaded
[INFO ] stable-diffusion.cpp:503 - total params memory size = 2664.21MB (VRAM 937.60MB, RAM 1726.61MB): clip 231.50MB(RAM), unet 1400.64MB(RAM), vae 94.47MB(RAM), controlnet 937.60MB(VRAM), pmid 0.00MB(RAM)
[INFO ] stable-diffusion.cpp:522 - loading model from 'models/realisticVisionV60B1_v51HyperVAE.safetensors' completed, taking 15.86s
[INFO ] stable-diffusion.cpp:556 - running in eps-prediction mode
[DEBUG] stable-diffusion.cpp:600 - finished loaded file
ggml_new_object: not enough space in the context's memory pool (needed 10489856, available 10485760)/workspaces/stable-diffusion.cpp/ggml/src/ggml.c:1597: GGML_ASSERT(obj_new) failedCould not attach to process. If your uid matches the uid of the targetprocess, check the setting of /proc/sys/kernel/yama/ptrace_scope, or tryagain as the root user. For more details, see /etc/sysctl.d/10-ptrace.confptrace: Operation not permitted.No stack.The program is not being run.Aborted (core dumped)
ControlNet crashes when processing high-resolution reference images with the Canny preprocessor enabled. The issue only occurs with large images while smaller resolutions (like 512x512) work fine