547 lines
27 KiB
Python
547 lines
27 KiB
Python
import streamlit as st
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import json
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import os
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import time
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import random
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from pathlib import Path
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# --- Configuration ---
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CONFIG_FILE = Path(".editor_config.json")
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SNIPPETS_FILE = Path(".editor_snippets.json")
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st.set_page_config(layout="wide", page_title="AI Settings Manager")
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# Defaults
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DEFAULTS = {
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"camera": "Camera stand still. Motion starts immediately.",
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"flf": 0,
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"seed": 0,
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"frame_to_skip": 81,
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"input_a_frames": 0,
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"input_b_frames": 0,
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"reference path": "",
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"reference switch": 1,
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"vace schedule": 1,
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"video file path": "",
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"reference image path": "",
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"flf image path": "",
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# --- PROMPTS ---
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"general_prompt": "",
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"general_negative": "Vivid tones, overexposed, static, blurry details, subtitles, style, artwork, painting, picture, still image, overall gray, worst quality, low quality, JPEG compression artifacts, ugly, deformed, extra fingers, poorly drawn hands, poorly drawn face, distorted, disfigured, malformed limbs, fused fingers, unmoving frame, cluttered background, three legs,",
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"current_prompt": "",
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"negative": "",
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# --- LORAS ---
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"lora 1 high": "", "lora 1 low": "",
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"lora 2 high": "", "lora 2 low": "",
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"lora 3 high": "", "lora 3 low": "",
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"prompt_history": []
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}
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GENERIC_TEMPLATES = ["prompt_i2v.json", "prompt_vace_extend.json", "batch_i2v.json", "batch_vace.json"]
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# --- Helper Functions ---
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def load_config():
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if CONFIG_FILE.exists():
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try:
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with open(CONFIG_FILE, 'r') as f:
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return json.load(f)
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except:
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pass
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return {"last_dir": str(Path.cwd()), "favorites": []}
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def save_config(current_dir, favorites):
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with open(CONFIG_FILE, 'w') as f:
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json.dump({"last_dir": str(current_dir), "favorites": favorites}, f, indent=4)
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def load_snippets():
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if SNIPPETS_FILE.exists():
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try:
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with open(SNIPPETS_FILE, 'r') as f:
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return json.load(f)
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except:
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pass
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return {}
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def save_snippets(snippets):
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with open(SNIPPETS_FILE, 'w') as f:
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json.dump(snippets, f, indent=4)
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def get_file_mtime(path):
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if path.exists(): return os.path.getmtime(path)
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return 0
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def load_json(path):
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if not path.exists(): return DEFAULTS.copy(), 0
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try:
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with open(path, 'r') as f:
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data = json.load(f)
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return data, get_file_mtime(path)
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except:
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return DEFAULTS.copy(), 0
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def save_json(path, data):
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if path.exists():
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try:
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with open(path, 'r') as f:
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existing = json.load(f)
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if isinstance(existing, dict) and isinstance(data, dict):
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existing.update(data)
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data = existing
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except:
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pass
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with open(path, 'w') as f:
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json.dump(data, f, indent=4)
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return get_file_mtime(path)
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def generate_templates(directory):
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for filename in GENERIC_TEMPLATES:
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path = directory / filename
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if "batch" in filename:
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data = {"batch_data": []}
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else:
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data = DEFAULTS.copy()
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if "vace" in filename:
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data.update({"frame_to_skip": 81, "vace schedule": 1, "video file path": ""})
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elif "i2v" in filename:
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data.update({"reference image path": "", "flf image path": ""})
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save_json(path, data)
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# --- CALLBACKS ---
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def create_batch_callback(original_filename, current_data):
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"""Safely creates a batch copy and updates selection without breaking Streamlit loop."""
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new_name = f"batch_{original_filename}"
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new_path = st.session_state.current_dir / new_name
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if new_path.exists():
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st.toast(f"File {new_name} already exists!", icon="⚠️")
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return
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# Prepare Data
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first_item = current_data.copy()
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if "prompt_history" in first_item: del first_item["prompt_history"]
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first_item["sequence_number"] = 1
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new_data = {
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"batch_data": [first_item],
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"prompt_history": current_data.get("prompt_history", [])
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}
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# Save
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save_json(new_path, new_data)
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st.toast(f"Created {new_name}", icon="✨")
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# Update Selection (Safe to do in callback)
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st.session_state.file_selector = new_name
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# --- Initialization ---
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if 'config' not in st.session_state:
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st.session_state.config = load_config()
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st.session_state.current_dir = Path(st.session_state.config.get("last_dir", Path.cwd()))
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if 'snippets' not in st.session_state: st.session_state.snippets = load_snippets()
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if 'loaded_file' not in st.session_state: st.session_state.loaded_file = None
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if 'last_mtime' not in st.session_state: st.session_state.last_mtime = 0
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if 'edit_history_idx' not in st.session_state: st.session_state.edit_history_idx = None
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if 'single_editor_cache' not in st.session_state: st.session_state.single_editor_cache = DEFAULTS.copy()
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# --- Sidebar ---
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with st.sidebar:
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st.header("📂 Navigator")
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new_path = st.text_input("Current Path", value=str(st.session_state.current_dir))
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if new_path != str(st.session_state.current_dir):
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p = Path(new_path)
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if p.exists() and p.is_dir():
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st.session_state.current_dir = p
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st.session_state.config['last_dir'] = str(p)
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save_config(st.session_state.current_dir, st.session_state.config['favorites'])
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st.rerun()
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if st.button("📌 Pin Current Folder"):
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if str(st.session_state.current_dir) not in st.session_state.config['favorites']:
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st.session_state.config['favorites'].append(str(st.session_state.current_dir))
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save_config(st.session_state.current_dir, st.session_state.config['favorites'])
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st.rerun()
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fav_selection = st.radio("Jump to:", ["Select..."] + st.session_state.config['favorites'], index=0, label_visibility="collapsed")
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if fav_selection != "Select..." and fav_selection != str(st.session_state.current_dir):
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st.session_state.current_dir = Path(fav_selection)
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st.rerun()
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st.markdown("---")
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st.subheader("🧩 Snippet Library")
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with st.expander("Add New Snippet"):
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snip_name = st.text_input("Name", placeholder="e.g. Cinematic")
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snip_content = st.text_area("Content", placeholder="4k, high quality...")
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if st.button("Save Snippet"):
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if snip_name and snip_content:
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st.session_state.snippets[snip_name] = snip_content
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save_snippets(st.session_state.snippets)
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st.success(f"Saved '{snip_name}'")
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st.rerun()
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if st.session_state.snippets:
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st.caption("Click to Append to Prompt:")
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for name, content in st.session_state.snippets.items():
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col_s1, col_s2 = st.columns([4, 1])
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if col_s1.button(f"➕ {name}", use_container_width=True):
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st.session_state.append_prompt = content
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st.rerun()
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if col_s2.button("🗑️", key=f"del_snip_{name}"):
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del st.session_state.snippets[name]
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save_snippets(st.session_state.snippets)
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st.rerun()
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st.markdown("---")
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json_files = sorted(list(st.session_state.current_dir.glob("*.json")))
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json_files = [f for f in json_files if f.name != ".editor_config.json" and f.name != ".editor_snippets.json"]
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if not json_files:
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if st.button("Generate Templates"):
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generate_templates(st.session_state.current_dir)
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st.rerun()
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with st.expander("Create New JSON"):
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new_filename = st.text_input("Filename", placeholder="my_prompt_vace")
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is_batch = st.checkbox("Is Batch File?")
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if st.button("Create"):
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if not new_filename.endswith(".json"): new_filename += ".json"
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path = st.session_state.current_dir / new_filename
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if is_batch:
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data = {"batch_data": []}
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else:
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data = DEFAULTS.copy()
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if "vace" in new_filename: data.update({"frame_to_skip": 81, "vace schedule": 1, "video file path": ""})
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elif "i2v" in new_filename: data.update({"reference image path": "", "flf image path": ""})
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save_json(path, data)
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st.rerun()
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# File Selector
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if 'file_selector' not in st.session_state:
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st.session_state.file_selector = json_files[0].name if json_files else None
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if st.session_state.file_selector not in [f.name for f in json_files] and json_files:
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st.session_state.file_selector = json_files[0].name
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selected_file_name = st.radio("Select File", [f.name for f in json_files], key="file_selector")
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# --- Load Logic ---
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if selected_file_name:
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file_path = st.session_state.current_dir / selected_file_name
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if st.session_state.loaded_file != str(file_path):
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data, mtime = load_json(file_path)
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st.session_state.data_cache = data
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st.session_state.last_mtime = mtime
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st.session_state.loaded_file = str(file_path)
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if 'append_prompt' in st.session_state: del st.session_state.append_prompt
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if 'rand_seed' in st.session_state: del st.session_state.rand_seed
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st.session_state.edit_history_idx = None
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else:
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data = st.session_state.data_cache
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st.title(f"Editing: {selected_file_name}")
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is_batch_file = "batch_data" in data or isinstance(data, list)
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# --- TABS ---
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tab_single, tab_batch = st.tabs(["📝 Single Editor", "🚀 Batch Processor"])
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# ==============================================================================
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# TAB 1: SINGLE EDITOR
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# ==============================================================================
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with tab_single:
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if is_batch_file:
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st.info("This is a batch file. Switch to the 'Batch Processor' tab.")
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else:
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col1, col2 = st.columns([2, 1])
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with col1:
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with st.expander("🌍 General Prompts (Global Layer)", expanded=False):
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gen_prompt = st.text_area("General Prompt", value=data.get("general_prompt", ""), height=100, key=f"{selected_file_name}_gp")
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gen_negative = st.text_area("General Negative", value=data.get("general_negative", DEFAULTS["general_negative"]), height=100, key=f"{selected_file_name}_gn")
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st.write("📝 **Specific Prompts**")
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current_prompt_val = data.get("current_prompt", "")
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if 'append_prompt' in st.session_state:
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current_prompt_val = (current_prompt_val.strip() + ", " + st.session_state.append_prompt).strip(', ')
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del st.session_state.append_prompt
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new_prompt = st.text_area("Specific Prompt", value=current_prompt_val, height=150, key=f"{selected_file_name}_sp")
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new_negative = st.text_area("Specific Negative", value=data.get("negative", ""), height=100, key=f"{selected_file_name}_sn")
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col_seed_val, col_seed_btn = st.columns([4, 1])
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with col_seed_btn:
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st.write("")
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st.write("")
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if st.button("🎲 Randomize"):
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st.session_state.rand_seed = random.randint(0, 999999999999)
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st.rerun()
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with col_seed_val:
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seed_val = st.session_state.get('rand_seed', int(data.get("seed", 0)))
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new_seed = st.number_input("Seed", value=seed_val, step=1, min_value=0, format="%d", key=f"{selected_file_name}_seed")
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data["seed"] = new_seed
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st.subheader("LoRAs")
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st.code("<lora::1.0>", language="text")
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l_col1, l_col2 = st.columns(2)
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loras = {}
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keys = ["lora 1 high", "lora 1 low", "lora 2 high", "lora 2 low", "lora 3 high", "lora 3 low"]
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for i, k in enumerate(keys):
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with (l_col1 if i % 2 == 0 else l_col2):
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loras[k] = st.text_input(k, value=data.get(k, ""), key=f"{selected_file_name}_{k}")
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st.subheader("Settings")
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spec_fields = {}
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spec_fields["camera"] = st.text_input("Camera", value=str(data.get("camera", DEFAULTS["camera"])), key=f"{selected_file_name}_cam")
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spec_fields["flf"] = st.text_input("FLF", value=str(data.get("flf", DEFAULTS["flf"])), key=f"{selected_file_name}_flf")
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if "vace" in selected_file_name:
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spec_fields["frame_to_skip"] = st.number_input("Frame to Skip", value=int(data.get("frame_to_skip", 81)), key=f"{selected_file_name}_fts")
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spec_fields["input_a_frames"] = st.number_input("Input A Frames", value=int(data.get("input_a_frames", 0)), key=f"{selected_file_name}_ia")
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spec_fields["input_b_frames"] = st.number_input("Input B Frames", value=int(data.get("input_b_frames", 0)), key=f"{selected_file_name}_ib")
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spec_fields["reference switch"] = st.number_input("Reference Switch", value=int(data.get("reference switch", 1)), key=f"{selected_file_name}_rsw")
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spec_fields["vace schedule"] = st.number_input("VACE Schedule", value=int(data.get("vace schedule", 1)), key=f"{selected_file_name}_vsc")
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for f in ["reference path", "video file path", "reference image path"]:
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spec_fields[f] = st.text_input(f.title(), value=str(data.get(f, "")), key=f"{selected_file_name}_{f}")
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elif "i2v" in selected_file_name:
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for f in ["reference image path", "flf image path", "video file path"]:
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spec_fields[f] = st.text_input(f.title(), value=str(data.get(f, "")), key=f"{selected_file_name}_{f}")
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with col2:
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# Capture State
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current_state = {
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"general_prompt": gen_prompt, "general_negative": gen_negative,
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"current_prompt": new_prompt, "negative": new_negative,
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"seed": new_seed, **loras, **spec_fields
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}
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st.session_state.single_editor_cache = current_state
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st.subheader("Actions")
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current_disk_mtime = get_file_mtime(file_path)
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is_conflict = current_disk_mtime > st.session_state.last_mtime
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if is_conflict:
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st.error("⚠️ CONFLICT: Disk change detected!")
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c1, c2 = st.columns(2)
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if c1.button("Force Save"):
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data.update(current_state)
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st.session_state.last_mtime = save_json(file_path, data)
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st.session_state.data_cache = data
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st.toast("Saved!", icon="⚠️")
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st.rerun()
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if c2.button("Reload"):
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st.session_state.loaded_file = None
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st.rerun()
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else:
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if st.button("💾 Update File", use_container_width=True):
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data.update(current_state)
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st.session_state.last_mtime = save_json(file_path, data)
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st.session_state.data_cache = data
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st.toast("Updated!", icon="✅")
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st.markdown("---")
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archive_note = st.text_input("Archive Note")
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if st.button("📦 Snapshot to History", use_container_width=True):
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entry = {
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"note": archive_note if archive_note else f"Snapshot",
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**current_state
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}
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if "prompt_history" not in data: data["prompt_history"] = []
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data["prompt_history"].insert(0, entry)
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data.update(entry)
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st.session_state.last_mtime = save_json(file_path, data)
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st.session_state.data_cache = data
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st.toast("Archived!", icon="📦")
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st.rerun()
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st.markdown("---")
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st.subheader("History")
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history = data.get("prompt_history", [])
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for idx, h in enumerate(history):
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with st.expander(f"#{idx+1}: {h.get('note', 'No Note')}"):
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if st.button(f"Restore #{idx+1}", key=f"rest_{idx}"):
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data.update(h)
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st.session_state.last_mtime = save_json(file_path, data)
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st.rerun()
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# ==============================================================================
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# TAB 2: BATCH PROCESSOR
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# ==============================================================================
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with tab_batch:
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if not is_batch_file:
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st.warning("This is a Single file. To use Batch mode, create a copy.")
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st.button("✨ Create Batch Copy (Preserves Original)",
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on_click=create_batch_callback,
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args=(selected_file_name, data))
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else:
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batch_list = data.get("batch_data", [])
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st.subheader("Add New Sequence")
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add_c1, add_c2 = st.columns(2)
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with add_c1:
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file_options = [f.name for f in json_files]
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default_idx = 0
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if selected_file_name in file_options:
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default_idx = file_options.index(selected_file_name)
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import_source_name = st.selectbox("Source File:", file_options, index=default_idx)
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source_data_imported, _ = load_json(st.session_state.current_dir / import_source_name)
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with add_c2:
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source_history = source_data_imported.get("prompt_history", [])
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hist_options = []
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if source_history:
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hist_options = [f"#{i+1}: {h.get('note', 'No Note')} ({h.get('prompt', '')[:15]}...)" for i, h in enumerate(source_history)]
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selected_hist_str = st.selectbox("History Entry:", hist_options)
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else:
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st.caption(f"No history in {import_source_name}.")
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selected_hist_str = None
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btn_c1, btn_c2, btn_c3 = st.columns(3)
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if btn_c1.button("➕ Add Empty", use_container_width=True):
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new_seq = DEFAULTS.copy()
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if "prompt_history" in new_seq: del new_seq["prompt_history"]
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max_seq = 0
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for s in batch_list:
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if "sequence_number" in s: max_seq = max(max_seq, int(s["sequence_number"]))
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new_seq["sequence_number"] = max_seq + 1
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batch_list.append(new_seq)
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data["batch_data"] = batch_list
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save_json(file_path, data)
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st.rerun()
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if btn_c2.button("➕ From File", use_container_width=True, help=f"Copy from {import_source_name}"):
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new_seq = DEFAULTS.copy()
|
||
src_flat = source_data_imported
|
||
if "batch_data" in source_data_imported and source_data_imported["batch_data"]:
|
||
src_flat = source_data_imported["batch_data"][0]
|
||
new_seq.update(src_flat)
|
||
if "prompt_history" in new_seq: del new_seq["prompt_history"]
|
||
max_seq = 0
|
||
for s in batch_list:
|
||
if "sequence_number" in s: max_seq = max(max_seq, int(s["sequence_number"]))
|
||
new_seq["sequence_number"] = max_seq + 1
|
||
batch_list.append(new_seq)
|
||
data["batch_data"] = batch_list
|
||
save_json(file_path, data)
|
||
st.rerun()
|
||
|
||
if btn_c3.button("➕ From History", use_container_width=True, disabled=not source_history):
|
||
if selected_hist_str:
|
||
hist_idx = int(selected_hist_str.split(":")[0].replace("#", "")) - 1
|
||
h_item = source_history[hist_idx]
|
||
new_seq = DEFAULTS.copy()
|
||
new_seq.update(h_item)
|
||
if "loras" in h_item and isinstance(h_item["loras"], dict):
|
||
new_seq.update(h_item["loras"])
|
||
for k in ["prompt_history", "note", "loras"]:
|
||
if k in new_seq: del new_seq[k]
|
||
max_seq = 0
|
||
for s in batch_list:
|
||
if "sequence_number" in s: max_seq = max(max_seq, int(s["sequence_number"]))
|
||
new_seq["sequence_number"] = max_seq + 1
|
||
batch_list.append(new_seq)
|
||
data["batch_data"] = batch_list
|
||
save_json(file_path, data)
|
||
st.rerun()
|
||
|
||
st.markdown("---")
|
||
st.info(f"Batch contains {len(batch_list)} sequences.")
|
||
|
||
for i, seq in enumerate(batch_list):
|
||
seq_num = seq.get("sequence_number", i+1)
|
||
|
||
with st.expander(f"🎬 Sequence #{seq_num} : {seq.get('current_prompt', '')[:40]}...", expanded=False):
|
||
|
||
b_col1, b_col2, b_col3 = st.columns([1, 1, 2])
|
||
|
||
if b_col1.button(f"📥 Copy from {import_source_name}", key=f"{selected_file_name}_copy_src_{i}"):
|
||
updated_seq = DEFAULTS.copy()
|
||
src_flat = source_data_imported
|
||
if "batch_data" in source_data_imported and source_data_imported["batch_data"]:
|
||
src_flat = source_data_imported["batch_data"][0]
|
||
updated_seq.update(src_flat)
|
||
updated_seq["sequence_number"] = seq_num
|
||
if "prompt_history" in updated_seq: del updated_seq["prompt_history"]
|
||
batch_list[i] = updated_seq
|
||
data["batch_data"] = batch_list
|
||
save_json(file_path, data)
|
||
st.toast(f"Updated from {import_source_name}!", icon="📥")
|
||
st.rerun()
|
||
|
||
if b_col2.button("↖️ Promote to Single", key=f"{selected_file_name}_prom_seq_{i}"):
|
||
new_single_data = seq.copy()
|
||
new_single_data["prompt_history"] = data.get("prompt_history", [])
|
||
if "sequence_number" in new_single_data: del new_single_data["sequence_number"]
|
||
st.session_state.last_mtime = save_json(file_path, new_single_data)
|
||
st.session_state.data_cache = new_single_data
|
||
st.toast("Converted to Single!", icon="✅")
|
||
st.rerun()
|
||
|
||
if b_col3.button("🗑️ Remove", key=f"{selected_file_name}_del_seq_{i}"):
|
||
batch_list.pop(i)
|
||
data["batch_data"] = batch_list
|
||
save_json(file_path, data)
|
||
st.rerun()
|
||
|
||
st.markdown("---")
|
||
|
||
# --- BATCH EDIT LAYOUT ---
|
||
|
||
# 1. PROMPTS
|
||
sb_col1, sb_col2 = st.columns([2, 1])
|
||
with sb_col1:
|
||
# KEY FIX: Added selected_file_name to keys to prevent state collision
|
||
prefix = f"{selected_file_name}_{i}"
|
||
seq["general_prompt"] = st.text_area("General Prompt", value=seq.get("general_prompt", ""), height=60, key=f"{prefix}_gp")
|
||
seq["general_negative"] = st.text_area("General Negative Prompt", value=seq.get("general_negative", ""), height=60, key=f"{prefix}_gn")
|
||
seq["current_prompt"] = st.text_area("Specific Prompt", value=seq.get("current_prompt", ""), height=100, key=f"{prefix}_sp")
|
||
seq["negative"] = st.text_area("Specific Negative Prompt", value=seq.get("negative", ""), height=60, key=f"{prefix}_sn")
|
||
|
||
with sb_col2:
|
||
seq["sequence_number"] = st.number_input("Sequence Number", value=int(seq_num), key=f"{prefix}_seqn")
|
||
seq["seed"] = st.number_input("Seed", value=int(seq.get("seed", 0)), key=f"{prefix}_seed")
|
||
seq["camera"] = st.text_input("Camera", value=seq.get("camera", ""), key=f"{prefix}_cam")
|
||
seq["flf"] = st.text_input("FLF", value=str(seq.get("flf", DEFAULTS["flf"])), key=f"{prefix}_flf")
|
||
|
||
# Dynamic Paths & Params
|
||
if "video file path" in seq or "vace" in selected_file_name:
|
||
seq["video file path"] = st.text_input("Video File Path", value=seq.get("video file path", ""), key=f"{prefix}_vid")
|
||
# VACE Params
|
||
with st.expander("VACE Settings"):
|
||
seq["frame_to_skip"] = st.number_input("Frame to Skip", value=int(seq.get("frame_to_skip", 81)), key=f"{prefix}_fts")
|
||
seq["input_a_frames"] = st.number_input("Input A Frames", value=int(seq.get("input_a_frames", 0)), key=f"{prefix}_ia")
|
||
seq["input_b_frames"] = st.number_input("Input B Frames", value=int(seq.get("input_b_frames", 0)), key=f"{prefix}_ib")
|
||
seq["reference switch"] = st.number_input("Reference Switch", value=int(seq.get("reference switch", 1)), key=f"{prefix}_rsw")
|
||
seq["vace schedule"] = st.number_input("VACE Schedule", value=int(seq.get("vace schedule", 1)), key=f"{prefix}_vsc")
|
||
seq["reference path"] = st.text_input("Reference Path", value=seq.get("reference path", ""), key=f"{prefix}_rp")
|
||
seq["reference image path"] = st.text_input("Reference Image Path", value=seq.get("reference image path", ""), key=f"{prefix}_rip")
|
||
|
||
if "i2v" in selected_file_name and "vace" not in selected_file_name:
|
||
seq["reference image path"] = st.text_input("Reference Image Path", value=seq.get("reference image path", ""), key=f"{prefix}_ref")
|
||
seq["flf image path"] = st.text_input("FLF Image Path", value=seq.get("flf image path", ""), key=f"{prefix}_flfi")
|
||
|
||
# 2. LORAS EXPANDER
|
||
with st.expander("LoRA Settings"):
|
||
bl_c1, bl_c2 = st.columns(2)
|
||
lkeys = ["lora 1 high", "lora 1 low", "lora 2 high", "lora 2 low", "lora 3 high", "lora 3 low"]
|
||
for li, lk in enumerate(lkeys):
|
||
with (bl_c1 if li % 2 == 0 else bl_c2):
|
||
seq[lk] = st.text_input(lk, value=seq.get(lk, ""), key=f"{prefix}_{lk}")
|
||
|
||
st.markdown("---")
|
||
if st.button("💾 Save Batch Changes"):
|
||
data["batch_data"] = batch_list
|
||
st.session_state.last_mtime = save_json(file_path, data)
|
||
st.session_state.data_cache = data
|
||
st.toast("Batch saved!", icon="🚀")
|