4c05a9daa8
wan_video 5B q8 verified clean on M3 Ultra (148.7s) and M2 Max (503.7s), identical 9.2GB max RSS on both; 81GB 'footprint' on m2max identified as MLX opportunistic cache, not demand. Frame-identical output at same seed across machines. HARDWARE.md gains wan_video and ardy_motion rows. Co-Authored-By: Claude Fable 5 <noreply@anthropic.com>
30 lines
2.6 KiB
Plaintext
30 lines
2.6 KiB
Plaintext
{
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"id": "comfyui_sd",
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"name": "Stable Diffusion + LoRA (local, ComfyUI)",
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"category": "generate",
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"description": "Prompt → image via local SD/SDXL checkpoints + LoRAs (ComfyUI on Metal). Complements flux_local, which runs mflux and CANNOT load SD/SDXL. Talks to a resident ComfyUI on 127.0.0.1:8188 (auto-starts it), so models stay cached between jobs. NOTE: the SD1.5 LoRAs only work with Hyper_Realism_1.2_fp16 — an SDXL checkpoint + SD1.5 LoRA silently does nothing. Full guide: localmodels/README.md",
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"accepts": [],
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"produces": ["image"],
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"resources": "gpu",
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"entry": "run.py",
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"params_schema": {
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"type": "object",
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"properties": {
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"prompt": {"type": "string", "default": "", "description": "Positive prompt (put LoRA trigger words early)"},
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"negative": {"type": "string", "default": "(worst quality, low quality:1.4), blurry, jpeg artifacts, watermark, text, deformed, bad anatomy, extra fingers", "description": "Negative prompt (ignored at cfg 1.0 on Turbo/Lightning)"},
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"checkpoint": {"type": "string", "default": "Hyper_Realism_1.2_fp16.safetensors", "description": "SD1.5 = Hyper_Realism_1.2_fp16 (the only one LoRAs work with); SDXL = bigLust_v16 / sd_xl_base_1.0"},
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"lora": {"type": "string", "default": "", "description": "LoRA filename, blank for none (SD1.5 LoRAs need an SD1.5 checkpoint)"},
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"lora_weight": {"type": "number", "default": 0.8, "minimum": 0, "maximum": 2, "description": "0.5 for breastinclassBetter; 0.65-0.9 vector; 0.5-1.0 GodPussy1"},
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"clip_skip": {"type": "integer", "enum": [1, 2], "default": 2, "description": "2 for all the local SD1.5 LoRAs (their training config)"},
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"width": {"type": "integer", "default": 512, "description": "SD1.5: 512 (768 max). SDXL: 1024. Turbo: 512"},
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"height": {"type": "integer", "default": 512, "description": "SD1.5: 512/768. SDXL: 1024"},
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"steps": {"type": "integer", "default": 25, "description": "SD1.5/SDXL: 25-30. Turbo: 1-4. Lightning: 8"},
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"cfg": {"type": "number", "default": 7.0, "description": "SD1.5/SDXL: 5-8. Turbo: 1.0. Lightning: 1-2 (wrong cfg = fried image)"},
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"sampler": {"type": "string", "default": "dpmpp_2m", "description": "dpmpp_2m (+karras) is the workhorse; euler for Turbo/Lightning"},
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"scheduler": {"type": "string", "default": "karras", "description": "karras normally; sgm_uniform for Lightning"},
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"seed": {"type": "integer", "default": -1, "description": "-1 = random. Fix it when tuning LoRA weight."},
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"batch": {"type": "integer", "default": 1, "minimum": 1, "maximum": 16, "description": "Images per job — brute-force seeds and pick"}
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}
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}
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}
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