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 +1,160 @@
+#!/usr/bin/env python3
+"""Submit Z-Image-Turbo workflow using standard KSampler to ComfyUI on BC-250."""
+import paramiko
+import json
+import time
+
+ssh = paramiko.SSHClient()
+ssh.set_missing_host_key_policy(paramiko.AutoAddPolicy())
+ssh.connect('192.168.178.150', username='fabian', key_filename=r'C:\Users\fabia\.ssh\id_ed25519')
+
+def run(cmd, timeout=600, desc=""):
+    if desc:
+        print(f"\n{'='*60}")
+        print(f"  {desc}")
+        print(f"{'='*60}")
+    _, stdout, stderr = ssh.exec_command(cmd, timeout=timeout)
+    out = stdout.read().decode()
+    err = stderr.read().decode()
+    rc = stdout.channel.recv_exit_status()
+    if out.strip():
+        lines = out.strip().split('\n')
+        if len(lines) > 50:
+            print(f"  ... ({len(lines)} lines, showing last 50)")
+            print('\n'.join(lines[-50:]))
+        else:
+            print(out.strip())
+    if err.strip():
+        lines = err.strip().split('\n')
+        show = lines[-20:] if len(lines) > 20 else lines
+        print(f"STDERR: {chr(10).join(show)}")
+    print(f"  Exit code: {rc}")
+    return rc, out, err
+
+# Z-Image-Turbo workflow using standard KSampler
+# Turbo models: low steps (8), low/zero CFG (1.0 with cfg_pp or euler works)
+workflow = {
+    "prompt": {
+        "1": {
+            "class_type": "UnetLoaderGGUF",
+            "inputs": {
+                "unet_name": "z_image_turbo-Q5_K_S.gguf"
+            }
+        },
+        "2": {
+            "class_type": "CLIPLoaderGGUF",
+            "inputs": {
+                "clip_name": "Qwen3-4B.i1-Q5_K_S.gguf",
+                "type": "qwen_image"
+            }
+        },
+        "3": {
+            "class_type": "VAELoader",
+            "inputs": {
+                "vae_name": "ae.safetensors"
+            }
+        },
+        "4": {
+            "class_type": "CLIPTextEncode",
+            "inputs": {
+                "text": "A majestic mountain landscape at sunset, golden light illuminating snow-capped peaks, crystal clear lake reflecting the sky, photorealistic",
+                "clip": ["2", 0]
+            }
+        },
+        "5": {
+            "class_type": "CLIPTextEncode",
+            "inputs": {
+                "text": "",
+                "clip": ["2", 0]
+            }
+        },
+        "6": {
+            "class_type": "EmptyLatentImage",
+            "inputs": {
+                "width": 1024,
+                "height": 576,
+                "batch_size": 1
+            }
+        },
+        "7": {
+            "class_type": "KSampler",
+            "inputs": {
+                "model": ["1", 0],
+                "seed": 42,
+                "steps": 8,
+                "cfg": 1.0,
+                "sampler_name": "euler",
+                "scheduler": "simple",
+                "positive": ["4", 0],
+                "negative": ["5", 0],
+                "latent_image": ["6", 0],
+                "denoise": 1.0
+            }
+        },
+        "8": {
+            "class_type": "VAEDecode",
+            "inputs": {
+                "samples": ["7", 0],
+                "vae": ["3", 0]
+            }
+        },
+        "9": {
+            "class_type": "SaveImage",
+            "inputs": {
+                "images": ["8", 0],
+                "filename_prefix": "ZImageTurbo_BC250_test"
+            }
+        }
+    }
+}
+
+# Write workflow
+workflow_json = json.dumps(workflow)
+sftp = ssh.open_sftp()
+with sftp.open('/tmp/zimage_workflow2.json', 'w') as f:
+    f.write(workflow_json)
+sftp.close()
+
+# Submit
+rc, out, _ = run("bash -c 'curl -s -X POST http://localhost:8188/prompt "
+    "-H \"Content-Type: application/json\" "
+    "-d @/tmp/zimage_workflow2.json'",
+    desc="Submit Z-Image-Turbo workflow")
+
+response = {}
+try:
+    response = json.loads(out.strip())
+except:
+    pass
+
+if 'error' in response:
+    print(f"\nERROR: {response['error']}")
+    if 'node_errors' in response:
+        for node_id, errs in response['node_errors'].items():
+            print(f"  Node {node_id} ({errs.get('class_type','')}): {errs.get('errors','')}")
+    ssh.close()
+    exit(1)
+
+prompt_id = response.get('prompt_id', '')
+print(f"\nPrompt ID: {prompt_id}")
+
+# Monitor progress — model loading + 8 sampling steps
+for i in range(60):  # up to 10 minutes
+    time.sleep(10)
+    rc, out, _ = run(f"bash -c 'tail -30 /home/fabian/comfyui.log 2>/dev/null'",
+        desc=f"Progress {i+1} ({(i+1)*10}s)")
+    
+    if 'Prompt executed in' in out:
+        print("\n  IMAGE GENERATION COMPLETE!")
+        break
+    if 'Exception' in out or 'Traceback' in out:
+        print("\n  ERROR during generation!")
+        run("bash -c 'tail -80 /home/fabian/comfyui.log'", desc="Error details")
+        break
+
+# Check output files
+run("bash -c 'ls -la ~/ComfyUI/output/ 2>/dev/null'",
+    desc="Output directory")
+
+ssh.close()
+print("\nDone.")