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https://github.com/invoke-ai/InvokeAI
synced 2024-08-30 20:32:17 +00:00
Fixes: uploaded JPG images not loading
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cefe12f1df
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@ -187,7 +187,10 @@ class InvokeAIWebServer:
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base_path = (
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self.result_path if category == "result" else self.init_image_path
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)
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paths = glob.glob(os.path.join(base_path, "*.png"))
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paths = []
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for ext in ("*.png", "*.jpg", "*.jpeg"):
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paths.extend(glob.glob(os.path.join(base_path, ext)))
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image_paths = sorted(
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paths, key=lambda x: os.path.getmtime(x), reverse=True
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@ -203,13 +206,19 @@ class InvokeAIWebServer:
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image_array = []
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for path in image_paths:
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if os.path.splitext(path)[1] == ".png":
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metadata = retrieve_metadata(path)
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sd_metadata = metadata["sd-metadata"]
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else:
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sd_metadata = {}
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(width, height) = Image.open(path).size
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image_array.append(
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{
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"url": self.get_url_from_image_path(path),
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"mtime": os.path.getmtime(path),
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"metadata": metadata["sd-metadata"],
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"metadata": sd_metadata,
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"width": width,
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"height": height,
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"category": category,
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@ -236,7 +245,9 @@ class InvokeAIWebServer:
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self.result_path if category == "result" else self.init_image_path
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)
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paths = glob.glob(os.path.join(base_path, "*.png"))
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paths = []
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for ext in ("*.png", "*.jpg", "*.jpeg"):
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paths.extend(glob.glob(os.path.join(base_path, ext)))
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image_paths = sorted(
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paths, key=lambda x: os.path.getmtime(x), reverse=True
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@ -254,9 +265,12 @@ class InvokeAIWebServer:
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image_paths = image_paths[slice(0, page_size)]
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image_array = []
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for path in image_paths:
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if os.path.splitext(path)[1] == ".png":
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metadata = retrieve_metadata(path)
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sd_metadata = metadata["sd-metadata"]
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else:
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sd_metadata = {}
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(width, height) = Image.open(path).size
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@ -264,7 +278,7 @@ class InvokeAIWebServer:
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{
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"url": self.get_url_from_image_path(path),
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"mtime": os.path.getmtime(path),
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"metadata": metadata["sd-metadata"],
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"metadata": sd_metadata,
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"width": width,
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"height": height,
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"category": category,
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@ -601,8 +615,9 @@ class InvokeAIWebServer:
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progress.set_current_status_has_steps(True)
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if (
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generation_parameters['progress_images'] and step % 5 == 0 \
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and step < generation_parameters['steps'] - 1
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generation_parameters["progress_images"]
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and step % 5 == 0
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and step < generation_parameters["steps"] - 1
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):
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image = self.generate.sample_to_image(sample)
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metadata = self.parameters_to_generated_image_metadata(
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@ -633,14 +648,16 @@ class InvokeAIWebServer:
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},
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)
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if generation_parameters['progress_latents']:
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if generation_parameters["progress_latents"]:
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image = self.generate.sample_to_lowres_estimated_image(sample)
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(width, height) = image.size
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width *= 8
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height *= 8
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buffered = io.BytesIO()
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image.save(buffered, format="PNG")
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img_base64 = "data:image/png;base64," + base64.b64encode(buffered.getvalue()).decode('UTF-8')
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img_base64 = "data:image/png;base64," + base64.b64encode(
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buffered.getvalue()
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).decode("UTF-8")
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self.socketio.emit(
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"intermediateResult",
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{
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@ -650,7 +667,7 @@ class InvokeAIWebServer:
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"metadata": {},
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"width": width,
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"height": height,
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}
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},
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)
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self.socketio.emit("progressUpdate", progress.to_formatted_dict())
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@ -668,7 +685,6 @@ class InvokeAIWebServer:
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step_index = 1
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nonlocal prior_variations
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# paste the inpainting image back onto the original
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if "init_mask" in generation_parameters:
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image = paste_image_into_bounding_box(
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