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https://github.com/karl0ss/ai_image_frame_server.git
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4 Commits
b8322e1fd8
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2a9a226dd1
Author | SHA1 | Date | |
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2a9a226dd1 | |||
3f2c59c5bb | |||
55ccd71383 | |||
4b62b5cd07 |
@ -1,5 +1,5 @@
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[tool.bumpversion]
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current_version = "0.1.8"
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current_version = "0.1.9"
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parse = "(?P<major>\\d+)\\.(?P<minor>\\d+)\\.(?P<patch>\\d+)"
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serialize = ["{major}.{minor}.{patch}"]
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search = "{current_version}"
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@ -4,6 +4,8 @@ from flask import (
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send_from_directory,
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request,
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jsonify,
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redirect,
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url_for
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)
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import os
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import time
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@ -92,26 +94,28 @@ def cancel_job() -> None:
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@app.route("/create", methods=["GET", "POST"])
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def create() -> str:
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"""Handles image creation requests.
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Args:
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None
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Returns:
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str: Redirect to the main page or a JSON response.
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"""
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prompt = request.form.get("prompt") if request.method == "POST" else None
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model = request.form.get("model") if request.method == "POST" else "Random"
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def create():
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if request.method == "POST":
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prompt = request.form.get("prompt")
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model = request.form.get("model", "Random")
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if not prompt:
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prompt = create_prompt_on_openwebui(user_config["comfyui"]["prompt"])
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# Start generation in background
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threading.Thread(target=lambda: create_image(prompt, model)).start()
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# store prompt in query string temporarily
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return redirect(url_for("image_queued", prompt=prompt))
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# For GET requests, just show the form to enter prompt
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return render_template("create_image.html", models=load_models_from_config())
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if prompt is None:
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prompt = create_prompt_on_openwebui(user_config["comfyui"]["prompt"])
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def create_image_in_background():
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create_image(prompt, model)
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threading.Thread(target=create_image_in_background).start()
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return render_template('image_queued.html', prompt=prompt)
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@app.route("/image_queued")
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def image_queued():
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prompt = request.args.get("prompt", "No prompt provided.")
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return render_template("image_queued.html", prompt=prompt)
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def scheduled_task() -> None:
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"""Executes the scheduled image generation task."""
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@ -64,7 +64,7 @@ def generate_image(
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file_name: str,
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comfy_prompt: str,
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workflow_path: str = "./workflow_sdxl.json",
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prompt_node: str = "CLIP Text Encode (Prompt)",
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prompt_node: str = "Positive",
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seed_node: str = "KSampler",
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seed_param: str = "seed",
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save_node: str = "Save Image",
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@ -57,15 +57,6 @@
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/* NEW: allow scrolling */
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}
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/* Optional: Adjust height for smaller screens */
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@media (max-width: 768px) {
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.prompt {
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max-height: 25vh;
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/* even smaller on mobile */
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}
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}
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.button-group {
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display: flex;
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gap: 20px;
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@ -102,6 +93,34 @@
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pointer-events: none;
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opacity: 0.6;
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}
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@media (max-width: 768px) {
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.image-container {
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max-width: 100vw;
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max-height: 50vh;
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}
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img {
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max-width: 100%;
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max-height: 100%;
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}
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.prompt {
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max-height: 20vh;
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font-size: 14px;
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padding: 10px 15px;
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}
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.button-group {
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flex-direction: column;
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gap: 10px;
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}
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.button-link {
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font-size: 14px;
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padding: 8px 16px;
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}
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}
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</style>
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<script>
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setInterval(() => {
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@ -59,7 +59,7 @@
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},
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"class_type": "CLIPTextEncode",
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"_meta": {
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"title": "CLIP Text Encode (Prompt)"
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"title": "Positive"
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}
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},
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"7": {
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@ -72,7 +72,7 @@
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},
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"class_type": "CLIPTextEncode",
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"_meta": {
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"title": "CLIP Text Encode (Prompt)"
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"title": "Negative"
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}
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},
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"8": {
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