143 lines
3.6 KiB
JSON
143 lines
3.6 KiB
JSON
{
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"id": "4a3dfff0-29c9-4460-aa79-fd3215d8fa87",
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"revision": 0,
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"last_node_id": 10,
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"nodes": [
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{
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"id": 10,
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"type": "WG_Pipeline",
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"inputs": [],
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"outputs": [
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{
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"name": "workflow_edges",
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"type": "STRING",
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"links": null
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},
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{
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"name": "workflow_edges (refined)",
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},
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{
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"name": "workflow_json",
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"Node name for S&R": "WG_Pipeline",
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"version": "7.5.1"
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}
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},
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"widgets_values": [
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"Create an SDXL text-to-image workflow with lora and depth controlnet support",
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"workflow-generator-q8_0.gguf",
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"auto",
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"paraphrase-multilingual-MiniLM-L12-v2",
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"catalog",
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"auto",
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{
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"id": 4,
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"type": "Note",
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"outputs": [],
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"properties": {
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"ue_properties": {
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}
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},
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"widgets_values": [
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"### Workflow Generator Guide\n\n**Instruction Tips:**\n- Be specific: \"Create an SDXL text-to-image workflow with LoRA support\"\n- Mention key nodes: \"Use ControlNet with Canny preprocessor\"\n\n**Default Settings:**\n- `auto_gpu_layers` is ON by default to prevent Out-Of-Memory errors.\n\n**How to Use:**\n1. **Instruction:** Enter your workflow description.\n2. **Refine:** Keep OFF initially for speed. Turn ON (`use_llm_refinement`) only if node names are incorrect.\n3. **Output:** The workflow JSON is saved to `ComfyUI/output/`.\n\n**Models Required:**\n- Main: `workflow-generator-q8_0.gguf`\n- Embedding: `paraphrase-multilingual-MiniLM-L12-v2`\n- Refine: `Qwen2.5-7B-Instruct` (Optional)\n\nYou do not have to connect outputs to a show text/string node but can if want. "
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],
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"color": "#432",
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"bgcolor": "#653"
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}
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],
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"links": [],
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"frontendVersion": "1.28.8",
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"VHS_MetadataImage": true,
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"VHS_KeepIntermediate": true
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},
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"version": 0.4
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} |