Closed
Description
Using any non-ascii character in the prompt always cause the program to crash during prompt processing. The crash seems to be hapenning during this function call:
stable-diffusion.cpp/conditioner.hpp
Line 357 in 58d5473
> ./build/bin/sd -m ../ComfyUI/models/checkpoints/dreamshaper_8LCM.q8_0.gguf --cfg-scale 1 --steps 8 --sampling-method lcm --seed 42 -p "Un petit chaton très mignon" -v
Option:
n_threads: 12
mode: txt2img
model_path: ../ComfyUI/models/checkpoints/dreamshaper_8LCM.q8_0.gguf
wtype: unspecified
clip_l_path:
t5xxl_path:
diffusion_model_path:
vae_path:
taesd_path:
esrgan_path:
controlnet_path:
embeddings_path:
stacked_id_embeddings_path:
input_id_images_path:
style ratio: 20.00
normzalize input image : false
output_path: output.png
init_img:
control_image:
clip on cpu: false
controlnet cpu: false
vae decoder on cpu:false
strength(control): 0.90
prompt: Un petit chaton très mignon
negative_prompt:
min_cfg: 1.00
cfg_scale: 1.00
guidance: 3.50
clip_skip: -1
width: 512
height: 512
sample_method: lcm
schedule: default
sample_steps: 8
strength(img2img): 0.75
rng: cuda
seed: 42
batch_count: 1
vae_tiling: false
upscale_repeats: 1
System Info:
BLAS = 0
SSE3 = 1
AVX = 1
AVX2 = 1
AVX512 = 0
AVX512_VBMI = 0
AVX512_VNNI = 0
FMA = 1
NEON = 0
ARM_FMA = 0
F16C = 1
FP16_VA = 0
WASM_SIMD = 0
VSX = 0
[DEBUG] stable-diffusion.cpp:180 - Using CPU backend
[INFO ] stable-diffusion.cpp:195 - loading model from '../ComfyUI/models/checkpoints/dreamshaper_8LCM.q8_0.gguf'
[INFO ] model.cpp:790 - load ../ComfyUI/models/checkpoints/dreamshaper_8LCM.q8_0.gguf using gguf format
[DEBUG] model.cpp:807 - init from '../ComfyUI/models/checkpoints/dreamshaper_8LCM.q8_0.gguf'
WARNING: Behavior may be unexpected when allocating 0 bytes for ggml_calloc!
[INFO ] stable-diffusion.cpp:235 - Version: SD 1.x
[INFO ] stable-diffusion.cpp:266 - Weight type: q8_0
[INFO ] stable-diffusion.cpp:267 - Conditioner weight type: q8_0
[INFO ] stable-diffusion.cpp:268 - Diffsuion model weight type: q8_0
[INFO ] stable-diffusion.cpp:269 - VAE weight type: q8_0
[DEBUG] stable-diffusion.cpp:271 - 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:1045 - clip params backend buffer size = 125.20 MB(RAM) (196 tensors)
[DEBUG] ggml_extend.hpp:1045 - unet params backend buffer size = 1398.81 MB(RAM) (686 tensors)
[DEBUG] ggml_extend.hpp:1045 - vae params backend buffer size = 94.47 MB(RAM) (140 tensors)
[DEBUG] stable-diffusion.cpp:398 - loading weights
[DEBUG] model.cpp:1520 - loading tensors from ../ComfyUI/models/checkpoints/dreamshaper_8LCM.q8_0.gguf
[INFO ] model.cpp:1675 - unknown tensor 'cond_stage_model.logit_scale | f16 | 1 [1, 1, 1, 1, 1]' in model file
[INFO ] model.cpp:1675 - unknown tensor 'cond_stage_model.text_projection | q8_0 | 2 [768, 768, 1, 1, 1]' in model file
[INFO ] stable-diffusion.cpp:482 - total params memory size = 1618.48MB (VRAM 0.00MB, RAM 1618.48MB): clip 125.20MB(RAM), unet 1398.81MB(RAM), vae 94.47MB(RAM), controlnet 0.00MB(VRAM), pmid 0.00MB(RAM)
[INFO ] stable-diffusion.cpp:501 - loading model from '../ComfyUI/models/checkpoints/dreamshaper_8LCM.q8_0.gguf' completed, taking 4.04s
[INFO ] stable-diffusion.cpp:528 - running in eps-prediction mode
[DEBUG] stable-diffusion.cpp:563 - finished loaded file
[DEBUG] stable-diffusion.cpp:1369 - txt2img 512x512
[DEBUG] stable-diffusion.cpp:1118 - prompt after extract and remove lora: "Un petit chaton très mignon"
[INFO ] stable-diffusion.cpp:646 - Attempting to apply 0 LoRAs
[INFO ] stable-diffusion.cpp:1123 - apply_loras completed, taking 0.00s
[DEBUG] conditioner.hpp:325 - parse 'Un petit chaton très mignon' to [['Un petit chaton très mignon', 1], ]
Segmentation fault
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