Fabian
26 lines
1.4 KiB
Bash
26 lines
1.4 KiB
Bash
#!/bin/bash
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# Quick 512x512 benchmark: 4 steps, CFG 1.0
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COMFY="http://localhost:8188"
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WORKFLOW='{
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"1": {"class_type": "CLIPLoaderGGUF", "inputs": {"clip_name": "Qwen_3_4b-Q8_0.gguf", "type": "lumina2"}},
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"2": {"class_type": "CLIPTextEncode", "inputs": {"text": "A hyper-realistic spider eating a fly, macro shot, 8K", "clip": ["1", 0]}},
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"3": {"class_type": "CLIPTextEncode", "inputs": {"text": "blurry, low quality", "clip": ["1", 0]}},
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"4": {"class_type": "UnetLoaderGGUF", "inputs": {"unet_name": "z_image_turbo-Q5_K_S.gguf"}},
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"5": {"class_type": "EmptyLatentImage", "inputs": {"width": 512, "height": 512, "batch_size": 1}},
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"6": {"class_type": "KSampler", "inputs": {
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"seed": 42, "steps": 4, "cfg": 1.0, "sampler_name": "euler",
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"scheduler": "normal", "denoise": 1.0,
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"model": ["4", 0], "positive": ["2", 0], "negative": ["3", 0], "latent_image": ["5", 0]
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}},
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"7": {"class_type": "VAELoader", "inputs": {"vae_name": "ae.safetensors"}},
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"8": {"class_type": "VAEDecode", "inputs": {"samples": ["6", 0], "vae": ["7", 0]}},
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"9": {"class_type": "SaveImage", "inputs": {"filename_prefix": "bench_512_4step", "images": ["8", 0]}}
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}'
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echo "Submitting 512x512 @ 4 steps, CFG 1.0..."
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RESP=$(curl -s -X POST "$COMFY/api/prompt" \
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-H "Content-Type: application/json" \
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-d "{\"prompt\": $WORKFLOW}")
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echo "$RESP" | python3 -c "import sys,json; print('Prompt ID:', json.load(sys.stdin).get('prompt_id','FAIL'))" 2>/dev/null
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