Uploaded sanitized BC250/ROCm Repository.
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#!/bin/bash
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# Run 2: different seed to test cached model performance
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COMFY="http://localhost:8188"
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WORKFLOW='{
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"1": {
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"class_type": "CLIPLoaderGGUF",
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"inputs": { "clip_name": "Qwen_3_4b-Q8_0.gguf", "type": "lumina2" }
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},
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"2": {
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"class_type": "CLIPTextEncode",
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"inputs": { "text": "a red cat on a windowsill, soft afternoon light, photorealistic, shallow depth of field", "clip": ["1", 0] }
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},
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"3": {
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"class_type": "CLIPTextEncode",
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"inputs": { "text": "", "clip": ["1", 0] }
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},
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"4": {
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"class_type": "UnetLoaderGGUF",
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"inputs": { "unet_name": "z_image_turbo-Q5_K_S.gguf" }
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},
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"5": {
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"class_type": "EmptyLatentImage",
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"inputs": { "width": 512, "height": 512, "batch_size": 1 }
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},
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"6": {
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"class_type": "KSampler",
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"inputs": {
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"seed": 88888,
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"steps": 4,
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"cfg": 1.0,
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"sampler_name": "euler",
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"scheduler": "normal",
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"denoise": 1.0,
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"model": ["4", 0],
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"positive": ["2", 0],
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"negative": ["3", 0],
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"latent_image": ["5", 0]
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}
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},
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"7": {
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"class_type": "VAELoader",
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"inputs": { "vae_name": "ae.safetensors" }
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},
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"8": {
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"class_type": "VAEDecode",
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"inputs": { "samples": ["6", 0], "vae": ["7", 0] }
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},
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"9": {
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"class_type": "SaveImage",
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"inputs": { "filename_prefix": "bc250_cat_turbo", "images": ["8", 0] }
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}
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}'
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echo "=== Run 2: 512x512, 4 steps, CFG 1.0, seed 88888 ==="
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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 "Response: $RESP"
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