feature: change default sampler to k_dpmpp_2m, which is more than twice as fast

README.md

@@ -224,11 +224,14 @@ docker run -it --gpus all -v $HOME/.cache/huggingface:/root/.cache/huggingface -
 
 ## ChangeLog
 
+**6.0.0**
+- feature: new default sampler makes image generation mor than twice as fast
 - feature: added `DPM++ 2S a` and `DPM++ 2M` samplers.
 - feature: improve progress image logging
-- fix: fix bug with `--show-work`
+- fix: fix bug with `--show-work`. fixes #84
 - fix: add workaround for pytorch bug affecting MacOS users using the new `DPM++ 2S a` and `DPM++ 2M` samplers.
 - fix: add workaround for pytorch mps bug affecting `k_dpm_fast` sampler. fixes #75
+- fix: larger image sizes now work on MacOS. fixes #8
 
 **5.0.0**
 - feature: 🎉 inpainting support using new inpainting model from RunwayML. It works really well! (Unfortunately it requires a HuggingFace token).

imaginairy/cmds.py

@@ -52,7 +52,7 @@ logger = logging.getLogger(__name__)
 )
 @click.option(
     "--steps",
-    default=40,
+    default=15,
     type=int,
     show_default=True,
     help="How many diffusion steps to run. More steps, more detail, but with diminishing returns",
@@ -73,7 +73,7 @@ logger = logging.getLogger(__name__)
 @click.option(
     "--sampler-type",
     "--sampler",
-    default="plms",
+    default="k_dpmpp_2m",
     type=click.Choice(SAMPLER_TYPE_OPTIONS),
     help="What sampling strategy to use",
 )