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https://github.com/XNM1/linux-nixos-hyprland-config-dotfiles.git
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feat: add AI tools, improve configs, and update README
Changelog: - Added AI tools and services (Ollama, SearXNG, Open WebUI) - Updated README with AI tools section and improved formatting - Added new Rust tools (`cargo-feature`, `cargo-features-manager`) - Improved virtualisation config with `nvidia-docker` - Added new work tools (`ssm-session-manager-plugin`, `redli`) - Updated Helix, Qutebrowser, and Oterm configs - Added Open WebUI and SearXNG config files
This commit is contained in:
xnm
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home/.config/open-webui-config.json
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home/.config/open-webui-config.json
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{
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"version": 0,
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"ui": {
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"default_locale": "",
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"prompt_suggestions": [
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{
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"title": [
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"Help me study",
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"vocabulary for a college entrance exam"
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],
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"content": "Help me study vocabulary: write a sentence for me to fill in the blank, and I'll try to pick the correct option."
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},
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{
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"title": [
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"Give me ideas",
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"for what to do with my kids' art"
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],
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"content": "What are 5 creative things I could do with my kids' art? I don't want to throw them away, but it's also so much clutter."
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},
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{
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"title": [
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"Tell me a fun fact",
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"about the Roman Empire"
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],
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"content": "Tell me a random fun fact about the Roman Empire"
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},
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{
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"title": [
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"Show me a code snippet",
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"of a website's sticky header"
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],
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"content": "Show me a code snippet of a website's sticky header in CSS and JavaScript."
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},
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{
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"title": [
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"Explain options trading",
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"if I'm familiar with buying and selling stocks"
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],
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"content": "Explain options trading in simple terms if I'm familiar with buying and selling stocks."
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},
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{
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"title": [
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"Overcome procrastination",
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"give me tips"
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],
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"content": "Could you start by asking me about instances when I procrastinate the most and then give me some suggestions to overcome it?"
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},
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{
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"title": [
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"Grammar check",
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"rewrite it for better readability "
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],
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"content": "Check the following sentence for grammar and clarity: \"[sentence]\". Rewrite it for better readability while maintaining its original meaning."
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}
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],
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"enable_signup": false,
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"default_user_role": "pending",
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"enable_community_sharing": true,
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"enable_message_rating": true
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},
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"rag": {
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"embedding_engine": "ollama",
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"embedding_model": "nomic-embed-text:latest",
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"openai_api_base_url": "https://api.openai.com/v1",
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"openai_api_key": "",
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"ollama": {
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"url": "http://localhost:11434",
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"key": ""
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},
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"embedding_batch_size": 1,
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"pdf_extract_images": false,
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"file": {
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"max_size": null,
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"max_count": null
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},
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"CONTENT_EXTRACTION_ENGINE": "",
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"tika_server_url": "http://tika:9998",
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"text_splitter": "",
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"chunk_size": 1000,
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"chunk_overlap": 100,
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"template": "### Task:\nRespond to the user query using the provided context, incorporating inline citations in the format [source_id] **only when the <source_id> tag is explicitly provided** in the context.\n\n### Guidelines:\n- If you don't know the answer, clearly state that.\n- If uncertain, ask the user for clarification.\n- Respond in the same language as the user's query.\n- If the context is unreadable or of poor quality, inform the user and provide the best possible answer.\n- If the answer isn't present in the context but you possess the knowledge, explain this to the user and provide the answer using your own understanding.\n- **Only include inline citations using [source_id] when a <source_id> tag is explicitly provided in the context.** \n- Do not cite if the <source_id> tag is not provided in the context. \n- Do not use XML tags in your response.\n- Ensure citations are concise and directly related to the information provided.\n\n### Example of Citation:\nIf the user asks about a specific topic and the information is found in \"whitepaper.pdf\" with a provided <source_id>, the response should include the citation like so: \n* \"According to the study, the proposed method increases efficiency by 20% [whitepaper.pdf].\"\nIf no <source_id> is present, the response should omit the citation.\n\n### Output:\nProvide a clear and direct response to the user's query, including inline citations in the format [source_id] only when the <source_id> tag is present in the context.\n\n<context>\n{{CONTEXT}}\n</context>\n\n<user_query>\n{{QUERY}}\n</user_query>\n",
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"top_k": 3,
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"relevance_threshold": 0,
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"enable_hybrid_search": false,
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"youtube_loader_language": [
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"en"
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],
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"youtube_loader_proxy_url": "",
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"enable_web_loader_ssl_verification": false,
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"web": {
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"search": {
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"enable": true,
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"engine": "searxng",
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"searxng_query_url": "http://localhost:7777/search?q=<query>",
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"google_pse_api_key": "",
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"google_pse_engine_id": "",
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"brave_search_api_key": "",
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"kagi_search_api_key": "",
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"mojeek_search_api_key": "",
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"serpstack_api_key": "",
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"serpstack_https": true,
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"serper_api_key": "",
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"serply_api_key": "",
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"tavily_api_key": "",
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"searchapi_api_key": "",
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"searchapi_engine": "",
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"jina_api_key": "",
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"bing_search_v7_endpoint": "https://api.bing.microsoft.com/v7.0/search",
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"bing_search_v7_subscription_key": "",
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"result_count": 5,
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"concurrent_requests": 10,
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"exa_api_key": ""
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}
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}
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},
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"google_drive": {
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"enable": false
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},
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"webhook_url": "",
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"auth": {
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"admin": {
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"show": true
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},
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"api_key": {
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"enable": false,
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"endpoint_restrictions": false,
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"allowed_endpoints": ""
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},
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"jwt_expiry": "-1"
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},
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"webui": {
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"url": "http://localhost:8090"
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},
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"channels": {
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"enable": false
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},
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"audio": {
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"tts": {
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"openai": {
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"api_base_url": "https://api.openai.com/v1",
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"api_key": ""
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},
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"api_key": "",
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"engine": "transformers",
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"model": "",
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"voice": "",
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"split_on": "punctuation",
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"azure": {
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"speech_region": "eastus",
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"speech_output_format": "audio-24khz-160kbitrate-mono-mp3"
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}
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},
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"stt": {
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"openai": {
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"api_base_url": "https://api.openai.com/v1",
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"api_key": ""
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},
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"engine": "",
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"model": "",
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"whisper_model": "base"
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}
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},
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"image_generation": {
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"engine": "comfyui",
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"enable": false,
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"prompt": {
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"enable": true
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},
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"openai": {
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"api_base_url": "https://api.openai.com/v1",
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"api_key": ""
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},
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"automatic1111": {
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"base_url": "",
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"api_auth": "",
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"cfg_scale": null,
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"sampler": null,
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"scheduler": null
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},
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"comfyui": {
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"base_url": "",
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"workflow": "{\n \"3\": {\n \"inputs\": {\n \"seed\": 0,\n \"steps\": 20,\n \"cfg\": 8,\n \"sampler_name\": \"euler\",\n \"scheduler\": \"normal\",\n \"denoise\": 1,\n \"model\": [\n \"4\",\n 0\n ],\n \"positive\": [\n \"6\",\n 0\n ],\n \"negative\": [\n \"7\",\n 0\n ],\n \"latent_image\": [\n \"5\",\n 0\n ]\n },\n \"class_type\": \"KSampler\",\n \"_meta\": {\n \"title\": \"KSampler\"\n }\n },\n \"4\": {\n \"inputs\": {\n \"ckpt_name\": \"model.safetensors\"\n },\n \"class_type\": \"CheckpointLoaderSimple\",\n \"_meta\": {\n \"title\": \"Load Checkpoint\"\n }\n },\n \"5\": {\n \"inputs\": {\n \"width\": 512,\n \"height\": 512,\n \"batch_size\": 1\n },\n \"class_type\": \"EmptyLatentImage\",\n \"_meta\": {\n \"title\": \"Empty Latent Image\"\n }\n },\n \"6\": {\n \"inputs\": {\n \"text\": \"Prompt\",\n \"clip\": [\n \"4\",\n 1\n ]\n },\n \"class_type\": \"CLIPTextEncode\",\n \"_meta\": {\n \"title\": \"CLIP Text Encode (Prompt)\"\n }\n },\n \"7\": {\n \"inputs\": {\n \"text\": \"\",\n \"clip\": [\n \"4\",\n 1\n ]\n },\n \"class_type\": \"CLIPTextEncode\",\n \"_meta\": {\n \"title\": \"CLIP Text Encode (Prompt)\"\n }\n },\n \"8\": {\n \"inputs\": {\n \"samples\": [\n \"3\",\n 0\n ],\n \"vae\": [\n \"4\",\n 2\n ]\n },\n \"class_type\": \"VAEDecode\",\n \"_meta\": {\n \"title\": \"VAE Decode\"\n }\n },\n \"9\": {\n \"inputs\": {\n \"filename_prefix\": \"ComfyUI\",\n \"images\": [\n \"8\",\n 0\n ]\n },\n \"class_type\": \"SaveImage\",\n \"_meta\": {\n \"title\": \"Save Image\"\n }\n }\n}",
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"nodes": [
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{
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"type": "prompt",
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"key": "text",
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"node_ids": []
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},
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{
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"type": "model",
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"key": "ckpt_name",
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"node_ids": []
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},
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{
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"type": "width",
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"key": "width",
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"node_ids": []
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},
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{
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"type": "height",
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"key": "height",
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"node_ids": []
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},
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{
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"type": "steps",
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"key": "steps",
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"node_ids": []
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},
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{
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"type": "seed",
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"key": "seed",
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"node_ids": []
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}
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]
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},
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"model": "",
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"size": "512x512",
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"steps": 50
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}
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}
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