Spaces:
Running
on
Zero
Running
on
Zero
one more test with user HF_TOKEN
Browse files
app.py
CHANGED
@@ -95,6 +95,7 @@ def run_flux(
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num_inference_steps_slider: int,
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resolution_wh: Tuple[int, int],
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) -> Image.Image:
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width, height = resolution_wh
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if randomize_seed_checkbox:
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seed_slicer = random.randint(0, MAX_SEED)
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@@ -121,8 +122,7 @@ def process(
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seed_slicer: int,
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randomize_seed_checkbox: bool,
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strength_slider: float,
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-
num_inference_steps_slider: int
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-
progress=gr.Progress(track_tqdm=True)
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):
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if not inpainting_prompt_text:
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gr.Info("Please enter a text prompt.")
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@@ -147,11 +147,13 @@ def process(
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return None, None
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if is_mask_empty(mask):
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mask = client.predict(
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image_input=handle_file(image_path),
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text_input=masking_prompt_text,
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api_name="/process_image")
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mask = Image.open(mask)
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width, height = calculate_image_dimensions_for_flux(original_resolution_wh=image.size)
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image = image.resize((width, height), Image.LANCZOS)
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num_inference_steps_slider: int,
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resolution_wh: Tuple[int, int],
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) -> Image.Image:
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+
print("Running FLUX...")
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width, height = resolution_wh
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if randomize_seed_checkbox:
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seed_slicer = random.randint(0, MAX_SEED)
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seed_slicer: int,
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randomize_seed_checkbox: bool,
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strength_slider: float,
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+
num_inference_steps_slider: int
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):
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if not inpainting_prompt_text:
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gr.Info("Please enter a text prompt.")
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return None, None
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if is_mask_empty(mask):
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+
print("Generating mask...")
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mask = client.predict(
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image_input=handle_file(image_path),
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text_input=masking_prompt_text,
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api_name="/process_image")
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mask = Image.open(mask)
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+
print("Mask generated.")
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width, height = calculate_image_dimensions_for_flux(original_resolution_wh=image.size)
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image = image.resize((width, height), Image.LANCZOS)
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