164 lines
5.6 KiB
Python
164 lines
5.6 KiB
Python
"""Save a proper Z-Image-Turbo GGUF workflow as the default ComfyUI web UI workflow."""
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import paramiko, json
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k = paramiko.Ed25519Key.from_private_key_file(r'C:\Users\fabia\.ssh\id_ed25519')
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c = paramiko.SSHClient()
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c.set_missing_host_key_policy(paramiko.AutoAddPolicy())
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c.connect('192.168.178.150', username='fabian', pkey=k, timeout=10)
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# ComfyUI web UI workflow format (not API format)
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workflow = {
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"last_node_id": 8,
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"last_link_id": 8,
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"nodes": [
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{
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"id": 1,
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"type": "UnetLoaderGGUF",
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"pos": [100, 100],
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"size": [300, 80],
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"flags": {},
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"order": 0,
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"mode": 0,
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"outputs": [{"name": "MODEL", "type": "MODEL", "links": [1], "slot_index": 0}],
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"properties": {"Node name for S&R": "UnetLoaderGGUF"},
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"widgets_values": ["z_image_turbo-Q5_K_S.gguf"]
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},
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{
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"id": 2,
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"type": "CLIPLoaderGGUF",
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"pos": [100, 250],
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"size": [300, 80],
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"flags": {},
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"order": 1,
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"mode": 0,
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"outputs": [{"name": "CLIP", "type": "CLIP", "links": [2], "slot_index": 0}],
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"properties": {"Node name for S&R": "CLIPLoaderGGUF"},
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"widgets_values": ["Qwen3-4B.i1-Q5_K_S.gguf", "qwen_image"]
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},
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{
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"id": 3,
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"type": "VAELoader",
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"pos": [100, 400],
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"size": [300, 60],
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"flags": {},
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"order": 2,
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"mode": 0,
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"outputs": [{"name": "VAE", "type": "VAE", "links": [3], "slot_index": 0}],
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"properties": {"Node name for S&R": "VAELoader"},
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"widgets_values": ["ae.safetensors"]
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},
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{
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"id": 4,
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"type": "CLIPTextEncode",
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"pos": [500, 250],
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"size": [400, 120],
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"flags": {},
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"order": 3,
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"mode": 0,
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"inputs": [{"name": "clip", "type": "CLIP", "link": 2}],
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"outputs": [{"name": "CONDITIONING", "type": "CONDITIONING", "links": [4], "slot_index": 0}],
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"properties": {"Node name for S&R": "CLIPTextEncode"},
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"widgets_values": ["A red fox in a snowy forest, photorealistic, highly detailed"]
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},
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{
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"id": 5,
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"type": "EmptyLatentImage",
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"pos": [500, 450],
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"size": [300, 110],
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"flags": {},
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"order": 4,
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"mode": 0,
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"outputs": [{"name": "LATENT", "type": "LATENT", "links": [5], "slot_index": 0}],
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"properties": {"Node name for S&R": "EmptyLatentImage"},
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"widgets_values": [512, 512, 1]
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},
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{
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"id": 6,
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"type": "KSampler",
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"pos": [950, 100],
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"size": [320, 474],
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"flags": {},
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"order": 5,
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"mode": 0,
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"inputs": [
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{"name": "model", "type": "MODEL", "link": 1},
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{"name": "positive", "type": "CONDITIONING", "link": 4},
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{"name": "negative", "type": "CONDITIONING", "link": None},
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{"name": "latent_image", "type": "LATENT", "link": 5}
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],
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"outputs": [{"name": "LATENT", "type": "LATENT", "links": [6], "slot_index": 0}],
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"properties": {"Node name for S&R": "KSampler"},
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"widgets_values": [42, "fixed", 8, 1.0, "euler", "simple", 1.0]
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},
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{
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"id": 7,
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"type": "VAEDecode",
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"pos": [1350, 100],
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"size": [210, 50],
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"flags": {},
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"order": 6,
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"mode": 0,
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"inputs": [
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{"name": "samples", "type": "LATENT", "link": 6},
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{"name": "vae", "type": "VAE", "link": 3}
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],
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"outputs": [{"name": "IMAGE", "type": "IMAGE", "links": [7], "slot_index": 0}],
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"properties": {"Node name for S&R": "VAEDecode"}
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},
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{
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"id": 8,
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"type": "SaveImage",
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"pos": [1350, 250],
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"size": [320, 270],
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"flags": {},
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"order": 7,
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"mode": 0,
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"inputs": [{"name": "images", "type": "IMAGE", "link": 7}],
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"properties": {"Node name for S&R": "SaveImage"},
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"widgets_values": ["ZImageTurbo"]
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}
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],
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"links": [
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[1, 1, 0, 6, 0, "MODEL"],
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[2, 2, 0, 4, 0, "CLIP"],
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[3, 3, 0, 7, 1, "VAE"],
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[4, 4, 0, 6, 1, "CONDITIONING"],
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[5, 5, 0, 6, 3, "LATENT"],
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[6, 6, 0, 7, 0, "LATENT"],
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[7, 7, 0, 8, 0, "IMAGE"]
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],
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"groups": [],
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"config": {},
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"extra": {},
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"version": 0.4
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}
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sftp = c.open_sftp()
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# Save as default workflow
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def ensure_dir(sftp, path):
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try:
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sftp.stat(path)
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except FileNotFoundError:
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ensure_dir(sftp, '/'.join(path.split('/')[:-1]))
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sftp.mkdir(path)
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ensure_dir(sftp, '/home/fabian/ComfyUI/user/default/comfyui')
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wf_json = json.dumps(workflow, indent=2)
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# Save as default workflow
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with sftp.open('/home/fabian/ComfyUI/user/default/comfyui/workflow.json', 'w') as f:
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f.write(wf_json)
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print("Saved default workflow: ~/ComfyUI/user/default/comfyui/workflow.json")
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# Also save a loadable copy in the ComfyUI root
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with sftp.open('/home/fabian/ComfyUI/z_image_turbo_workflow.json', 'w') as f:
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f.write(wf_json)
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print("Saved loadable copy: ~/ComfyUI/z_image_turbo_workflow.json")
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sftp.close()
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c.close()
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print("\nDone. Refresh ComfyUI web UI — it will load the Z-Image-Turbo GGUF workflow by default.")
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print("If it still shows the old workflow, click the menu and Load the z_image_turbo_workflow.json file.")
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