Fabian
146 lines
3.8 KiB
Bash
146 lines
3.8 KiB
Bash
#!/bin/bash
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# Test image generation - v3 with CLIPLoader (not GGUF) for safetensors clip
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API="http://127.0.0.1:8188"
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echo "=== Queueing Z-Image Turbo generation v3 ==="
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WORKFLOW='{
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"prompt": {
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"1": {
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"class_type": "UnetLoaderGGUF",
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"inputs": {
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"unet_name": "z_image_turbo-Q5_K_S.gguf"
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}
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},
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"2": {
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"class_type": "CLIPLoader",
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"inputs": {
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"clip_name": "gemma2_2b_lumina2.safetensors",
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"type": "lumina2"
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}
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},
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"3": {
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"class_type": "CLIPTextEncode",
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"inputs": {
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"text": "a beautiful mountain landscape at sunset, golden light, detailed, 4k",
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"clip": ["2", 0]
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}
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},
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"4": {
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"class_type": "CLIPTextEncode",
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"inputs": {
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"text": "blurry, ugly, distorted",
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"clip": ["2", 0]
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}
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},
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"5": {
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"class_type": "EmptyLatentImage",
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"inputs": {
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"width": 512,
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"height": 512,
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"batch_size": 1
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}
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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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"model": ["1", 0],
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"positive": ["3", 0],
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"negative": ["4", 0],
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"latent_image": ["5", 0],
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"seed": 42,
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"steps": 8,
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"cfg": 3.0,
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"sampler_name": "euler",
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"scheduler": "normal",
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"denoise": 1.0
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}
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},
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"7": {
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"class_type": "VAELoader",
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"inputs": {
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"vae_name": "ae.safetensors"
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}
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},
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"8": {
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"class_type": "VAEDecode",
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"inputs": {
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"samples": ["6", 0],
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"vae": ["7", 0]
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}
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},
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"9": {
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"class_type": "SaveImage",
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"inputs": {
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"images": ["8", 0],
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"filename_prefix": "bc250_test"
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}
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}
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}
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}'
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RESPONSE=$(curl -s -X POST "$API/prompt" -H "Content-Type: application/json" -d "$WORKFLOW")
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echo "Response: $(echo $RESPONSE | head -c 200)"
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echo ""
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PROMPT_ID=$(echo "$RESPONSE" | python3.11 -c "import sys,json; print(json.load(sys.stdin).get('prompt_id','NONE'))" 2>/dev/null)
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echo "Prompt ID: $PROMPT_ID"
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if [ "$PROMPT_ID" = "NONE" ] || [ -z "$PROMPT_ID" ]; then
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echo "ERROR: Failed to queue!"
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echo "Full response: $RESPONSE"
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exit 1
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fi
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echo ""
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echo "=== Waiting for generation (up to 10 min) ==="
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for i in $(seq 1 120); do
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sleep 5
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STATUS=$(curl -s "$API/history/$PROMPT_ID" 2>/dev/null)
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HAS_OUTPUT=$(echo "$STATUS" | python3.11 -c "
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import sys, json
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data = json.load(sys.stdin)
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pid = '$PROMPT_ID'
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if pid in data:
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outputs = data[pid].get('outputs', {})
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status = data[pid].get('status', {})
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if status.get('status_str') == 'error':
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msgs = status.get('messages', [])
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for m in msgs:
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if isinstance(m, list) and len(m)>1 and isinstance(m[1],dict):
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em = m[1].get('exception_message','')
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if em:
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print('ERROR:' + em[:200])
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break
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else:
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print('ERROR:unknown')
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elif '9' in outputs:
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images = outputs['9'].get('images', [])
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if images:
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print('DONE:' + images[0].get('filename', 'unknown'))
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else:
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print('PROCESSING')
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else:
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print('PROCESSING')
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else:
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print('WAITING')
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" 2>/dev/null)
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echo "[$((i*5))s] $HAS_OUTPUT"
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if [[ "$HAS_OUTPUT" == DONE:* ]]; then
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FILENAME=${HAS_OUTPUT#DONE:}
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echo ""
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echo "=========================================="
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echo " SUCCESS - Image generated!"
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echo " File: /home/fabian/ComfyUI/output/$FILENAME"
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ls -lh "/home/fabian/ComfyUI/output/$FILENAME" 2>/dev/null
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echo "=========================================="
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exit 0
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fi
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if [[ "$HAS_OUTPUT" == ERROR:* ]]; then
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echo ""
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echo "GENERATION FAILED: $HAS_OUTPUT"
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tail -10 /home/fabian/comfyui2.log
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exit 1
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fi
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done
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echo "TIMEOUT"
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