Uploaded sanitized BC250/ROCm Repository.

2026-08-20 00:45:43 +02:00
parent 7d2184f1e8
commit d7d22e93b3
678 changed files with 65963 additions and 1 deletions
@@ -0,0 +1,142 @@
+#!/bin/bash
+# Test image generation via ComfyUI API
+# Workflow: Z-Image Turbo GGUF + Gemma2 CLIP + AE VAE
+
+API="http://127.0.0.1:8188"
+
+echo "=== Checking ComfyUI API ==="
+curl -s "$API/system_stats" | python3.11 -m json.tool 2>/dev/null | head -20
+echo ""
+
+echo "=== Listing available models ==="
+curl -s "$API/models/unet" 2>/dev/null
+echo ""
+curl -s "$API/models/clip" 2>/dev/null  
+echo ""
+curl -s "$API/models/vae" 2>/dev/null
+echo ""
+
+echo "=== Queueing image generation ==="
+WORKFLOW='{
+  "prompt": {
+    "1": {
+      "class_type": "UNETLoader",
+      "inputs": {
+        "unet_name": "z_image_turbo-Q5_K_S.gguf",
+        "weight_dtype": "default"
+      }
+    },
+    "2": {
+      "class_type": "DualCLIPLoader",
+      "inputs": {
+        "clip_name1": "gemma2_2b_lumina2.safetensors",
+        "clip_name2": "gemma2_2b_lumina2.safetensors",
+        "type": "lumina2"
+      }
+    },
+    "3": {
+      "class_type": "CLIPTextEncode",
+      "inputs": {
+        "text": "a beautiful mountain landscape at sunset, golden light, detailed, 4k",
+        "clip": ["2", 0]
+      }
+    },
+    "4": {
+      "class_type": "CLIPTextEncode",
+      "inputs": {
+        "text": "blurry, ugly, distorted",
+        "clip": ["2", 0]
+      }
+    },
+    "5": {
+      "class_type": "EmptyLatentImage",
+      "inputs": {
+        "width": 512,
+        "height": 512,
+        "batch_size": 1
+      }
+    },
+    "6": {
+      "class_type": "KSampler",
+      "inputs": {
+        "model": ["1", 0],
+        "positive": ["3", 0],
+        "negative": ["4", 0],
+        "latent_image": ["5", 0],
+        "seed": 42,
+        "steps": 8,
+        "cfg": 3.0,
+        "sampler_name": "euler",
+        "scheduler": "normal",
+        "denoise": 1.0
+      }
+    },
+    "7": {
+      "class_type": "VAELoader",
+      "inputs": {
+        "vae_name": "ae.safetensors"
+      }
+    },
+    "8": {
+      "class_type": "VAEDecode",
+      "inputs": {
+        "samples": ["6", 0],
+        "vae": ["7", 0]
+      }
+    },
+    "9": {
+      "class_type": "SaveImage",
+      "inputs": {
+        "images": ["8", 0],
+        "filename_prefix": "bc250_test"
+      }
+    }
+  }
+}'
+
+RESPONSE=$(curl -s -X POST "$API/prompt" -H "Content-Type: application/json" -d "$WORKFLOW")
+echo "Queue response: $RESPONSE"
+PROMPT_ID=$(echo "$RESPONSE" | python3.11 -c "import sys,json; print(json.load(sys.stdin).get('prompt_id','NONE'))" 2>/dev/null)
+echo "Prompt ID: $PROMPT_ID"
+
+if [ "$PROMPT_ID" = "NONE" ] || [ -z "$PROMPT_ID" ]; then
+    echo "ERROR: Failed to queue prompt!"
+    exit 1
+fi
+
+echo ""
+echo "=== Waiting for generation ==="
+for i in $(seq 1 60); do
+    sleep 5
+    STATUS=$(curl -s "$API/history/$PROMPT_ID" 2>/dev/null)
+    HAS_OUTPUT=$(echo "$STATUS" | python3.11 -c "
+import sys, json
+data = json.load(sys.stdin)
+if '$PROMPT_ID' in data:
+    outputs = data['$PROMPT_ID'].get('outputs', {})
+    if '9' in outputs:
+        images = outputs['9'].get('images', [])
+        if images:
+            print('DONE:' + images[0].get('filename', 'unknown'))
+        else:
+            print('PROCESSING')
+    else:
+        print('PROCESSING')
+else:
+    print('WAITING')
+" 2>/dev/null)
+    echo "[$((i*5))s] $HAS_OUTPUT"
+    if [[ "$HAS_OUTPUT" == DONE:* ]]; then
+        FILENAME=${HAS_OUTPUT#DONE:}
+        echo ""
+        echo "=== SUCCESS ==="
+        echo "Image generated: $FILENAME"
+        echo "File location: /home/fabian/ComfyUI/output/$FILENAME"
+        ls -lh "/home/fabian/ComfyUI/output/$FILENAME" 2>/dev/null
+        exit 0
+    fi
+done
+
+echo "TIMEOUT: Generation did not complete in 5 minutes"
+echo "=== Checking queue ==="
+curl -s "$API/queue" | python3.11 -m json.tool 2>/dev/null | head -20