DarthAffe/stable-diffusion.cpp
1
0
Fork 0
mirror of https://github.com/leejet/stable-diffusion.cpp.git synced 2025-12-12 13:28:37 +00:00
Code Issues Packages Projects Releases Wiki Activity

fix: typo in --lora-apply-mode help (#972)

Browse Source
This commit is contained in:
Wagner Bruna 2025-11-16 03:48:00 -03:00 committed by GitHub
parent aa44e06890
commit e8eb3791c8
No known key found for this signature in database
GPG Key ID: B5690EEEBB952194
2 changed files with 3 additions and 3 deletions
Show Stats Download Patch File Download Diff File Expand all files Collapse all files

4
examples/cli/README.md
View File

@ -103,7 +103,7 @@ Options:
contain any quantized parameters, the at_runtime mode will be used; otherwise,
immediately will be used.The immediately mode may have precision and
compatibility issues with quantized parameters, but it usually offers faster inference
speed and, in some cases, lower memory usageThe at_runtime mode, on the other
speed and, in some cases, lower memory usage. The at_runtime mode, on the other
hand, is exactly the opposite.
--scheduler denoiser sigma scheduler, one of [discrete, karras, exponential, ays, gits, smoothstep, sgm_uniform, simple], default:
discrete
@ -119,4 +119,4 @@ Options:
--vae-relative-tile-size relative tile size for vae tiling, format [X]x[Y], in fraction of image size if < 1, in number of tiles per dim if >=1
(overrides --vae-tile-size)
--preview preview method. must be one of the following [none, proj, tae, vae] (default is none)
```
```

2
examples/cli/main.cpp
View File

@ -1144,7 +1144,7 @@ void parse_args(int argc, const char** argv, SDParams& params) {
"the way to apply LoRA, one of [auto, immediately, at_runtime], default is auto. "
"In auto mode, if the model weights contain any quantized parameters, the at_runtime mode will be used; otherwise, immediately will be used."
"The immediately mode may have precision and compatibility issues with quantized parameters, "
"but it usually offers faster inference speed and, in some cases, lower memory usage"
"but it usually offers faster inference speed and, in some cases, lower memory usage. "
"The at_runtime mode, on the other hand, is exactly the opposite.",
on_lora_apply_mode_arg},
{"",