Gradio v4.44.1

DOCS.md

@@ -57,6 +57,8 @@ For capturing faces, enable `IP-Adapter Face` to use the full-face model. You sh
 
 Add `<fast_negative>` anywhere in your negative prompt to apply the [FastNegative v2](https://civitai.com/models/71961?modelVersionId=94057) textual inversion embedding. Read [An Image is Worth One Word](https://huggingface.co/papers/2208.01618) to learn more.
 
+> 💡 Wrap in parens to weight the embedding like `(<fast_negative>)0.8`.
+
 #### DeepCache
 
 [DeepCache](https://github.com/horseee/DeepCache) caches lower UNet layers and reuses them every _n_ steps. Trade quality for speed:

README.md

@@ -6,7 +6,7 @@ emoji: 🧨
 colorFrom: purple
 colorTo: blue
 sdk: gradio
-sdk_version: 4.44.0
+sdk_version: 4.44.1
 python_version: 3.11.9
 app_file: app.py
 fullWidth: false

lib/config.py

@@ -86,7 +86,7 @@ Config = SimpleNamespace(
         "controlnet_txt2img": CustomStableDiffusionControlNetPipeline,
         "controlnet_img2img": CustomStableDiffusionControlNetImg2ImgPipeline,
     },
-    MODEL="XpucT/Deliberate",
+    MODEL="XpucT/Reliberate",
     MODELS=[
         "cyberdelia/CyberRealistic",
         "fluently/Fluently-v4",

lib/pipelines.py

@@ -25,7 +25,7 @@ from huggingface_hub.utils import validate_hf_hub_args
 
 class CustomDiffusionMixin:
     r"""
-    Overrides DiffusionPipeline methods.
+    Overrides DiffusionPipeline `from_pretrained` and `from_single_file` methods to allow passing a progress function.
     """
 
     # Copied from https://github.com/huggingface/diffusers/blob/v0.30.3/src/diffusers/pipelines/pipeline_utils.py#L480

requirements.txt

@@ -4,7 +4,7 @@ controlnet-aux==0.0.9
 deepcache==0.1.1
 diffusers==0.30.3
 einops==0.8.0
-gradio==4.44.0
+gradio==4.44.1
 h2
 hf-transfer
 httpx