Spaces:
Sleeping
Sleeping
BertChristiaens
commited on
Commit
•
13e5061
1
Parent(s):
71af695
add caching
Browse files
app.py
CHANGED
@@ -191,6 +191,11 @@ def make_editing_canvas(canvas_color, brush, _reset_state, generation_mode, pain
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elif generation_mode == "Re-generate objects":
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canvas = st_canvas(
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**canvas_dict,
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)
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@@ -207,7 +212,7 @@ def make_editing_canvas(canvas_color, brush, _reset_state, generation_mode, pain
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st.session_state['unique_colors'] = unique_colors
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chosen_colors = st.multiselect(
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-
label="Choose
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options=st.session_state['unique_colors'],
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key='chosen_colors',
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default=st.session_state['unique_colors'],
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elif generation_mode == "Re-generate objects":
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st.write("This mode allows you to choose which objects you want to re-generate in the image. "
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"Use the selection dropdown to add or remove objects. If you are ready, press the generate button"
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" to generate the image, which can take up to 30 seconds. If you want to improve the generated image, click"
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" the 'move image to input' button."
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)
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canvas = st_canvas(
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**canvas_dict,
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)
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st.session_state['unique_colors'] = unique_colors
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chosen_colors = st.multiselect(
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label="Choose which concepts you want to regenerate in the image",
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options=st.session_state['unique_colors'],
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key='chosen_colors',
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default=st.session_state['unique_colors'],
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models.py
CHANGED
@@ -76,6 +76,7 @@ def postprocess_image_masking(inpainted: Image, image: Image, mask: Image) -> Im
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@st.experimental_singleton(max_entries=1)
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def get_controlnet() -> ControlNetModel:
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"""Method to load the controlnet model
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Returns:
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@@ -100,6 +101,7 @@ def get_controlnet() -> ControlNetModel:
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@st.experimental_singleton(max_entries=1)
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def get_segmentation_pipeline() -> Tuple[AutoImageProcessor, UperNetForSemanticSegmentation]:
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"""Method to load the segmentation pipeline
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Returns:
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@@ -112,6 +114,7 @@ def get_segmentation_pipeline() -> Tuple[AutoImageProcessor, UperNetForSemanticS
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@st.experimental_singleton(max_entries=1)
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def get_inpainting_pipeline() -> StableDiffusionInpaintPipeline:
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"""Method to load the inpainting pipeline
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Returns:
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@st.experimental_singleton(max_entries=1)
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@st.cache_resource
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def get_controlnet() -> ControlNetModel:
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"""Method to load the controlnet model
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Returns:
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@st.experimental_singleton(max_entries=1)
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@st.cache_resource
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def get_segmentation_pipeline() -> Tuple[AutoImageProcessor, UperNetForSemanticSegmentation]:
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"""Method to load the segmentation pipeline
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Returns:
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@st.experimental_singleton(max_entries=1)
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@st.cache_resource
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def get_inpainting_pipeline() -> StableDiffusionInpaintPipeline:
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"""Method to load the inpainting pipeline
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Returns:
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