1
# 单节点全量定义
2
curl -s http://127.0.0.1:8188/object_info/LatentUpscaleBy | \
3
  /home/zero/ComfyUI/venv/bin/python -m json.tool
4

5
# 只看"哪些参数 + 枚举合法值"（省 token 的写法）
6
curl -s http://127.0.0.1:8188/object_info | /home/zero/ComfyUI/venv/bin/python -c "
7
import json,sys
8
d=json.load(sys.stdin)
9
for pn,pv in d['LatentUpscaleBy']['input']['required'].items():
10
    print(' ',pn,'=',pv[0] if isinstance(pv[0],list) else pv[0], pv[1] if len(pv)>1 else '')
11
"

1
# ① 服务活着吗 —— 期望：一段 JSON，含 "comfyui_version": "0.40.0"
2
curl -s -m 5 http://127.0.0.1:8188/system_stats | head -c 200
3

4
# ② GPU 在吗、显存够吗 —— 期望：RTX 4070 SUPER，total 12282 MiB
5
nvidia-smi --query-gpu=name,memory.total,memory.used,driver_version --format=csv
6

7
# ③ venv 依赖 —— 期望：numpy 2.5.4 scipy 1.18.1 PIL 12.3.0
8
/home/zero/ComfyUI/venv/bin/python -c "import numpy,scipy,PIL;print('numpy',numpy.__version__,'scipy',scipy.__version__,'PIL',PIL.__version__)"
9

10
# ④ 系统 python 的坑 —— 期望：ModuleNotFoundError: No module named 'numpy'（这就是不能用的原因）
11
python3 -c "import numpy" 2>&1 | tail -1
12

13
# ⑤ 队列空不空 —— 期望：{"queue_running": [], "queue_pending": []}
14
curl -s -m 5 http://127.0.0.1:8188/queue

1
cd /home/zero/ComfyUI && nohup ./venv/bin/python main.py --listen 127.0.0.1 --port 8188 \
2
  > /tmp/comfy_restart.log 2>&1 &
3

4
# 等就绪（唯一可信判据是 /system_stats 能返回，不是 sleep 拍脑袋）
5
for i in $(seq 1 60); do
6
  sleep 3
7
  curl -s -m 5 http://127.0.0.1:8188/system_stats >/dev/null 2>&1 && { echo "✓ 就绪 (${i}0s内)"; break; }
8
done
9
curl -s -m 5 http://127.0.0.1:8188/system_stats >/dev/null 2>&1 || { echo "启动失败，日志尾部:"; tail -20 /tmp/comfy_restart.log; }

1
cd /home/zero/ComfyUI/image_scripts
2
/home/zero/ComfyUI/venv/bin/python matte_birefnet.py           # 先出蒙版（⚠ 当前有 bug，见 §6.6）
3
/home/zero/ComfyUI/venv/bin/python redraw.py --scene aurora --seeds 11 \
4
    --matte smart --denoise 0.45 --outdir <输出目录>
5
/home/zero/ComfyUI/venv/bin/python redraw.py --scene aurora --nofinal --reuse-bg <背景png>  # 只搭骨架调构图

1
cd /home/zero/ComfyUI && ./venv/bin/python image_scripts/upscale_4k_batch.py --only ZZZ_batch_probe.png

1
cd /home/zero/ComfyUI/image_scripts
2
/home/zero/ComfyUI/venv/bin/python upscale_4k_batch.py                  # 全部处理，保留原图
3
/home/zero/ComfyUI/venv/bin/python upscale_4k_batch.py --delete-source  # 成功后删原图
4
/home/zero/ComfyUI/venv/bin/python upscale_4k_batch.py --only a.png b.png
5
/home/zero/ComfyUI/venv/bin/python upscale_4k_batch.py --long 2160 --overwrite

1
# ✅ 正确：-L 跟随跳转 + 走代理
2
curl -x http://127.0.0.1:7897 -sSL -o "<目标路径>" \
3
  "https://huggingface.co/<repo>/resolve/main/<file>"

1
cd /home/zero/ComfyUI && nohup ./venv/bin/python main.py --listen 127.0.0.1 --port 8188 \
2
  > /tmp/comfy_restart.log 2>&1 &
3
for i in $(seq 1 60); do sleep 3
4
  curl -s -m 5 http://127.0.0.1:8188/system_stats >/dev/null 2>&1 && { echo "✓ 就绪 (${i}0s内)"; break; }
5
done

1
curl -s -m 5 http://127.0.0.1:8188/system_stats | head -c 200; echo
2
nvidia-smi --query-gpu=name,memory.total --format=csv
3
curl -s -m 5 http://127.0.0.1:8188/queue; echo

1
curl -s http://127.0.0.1:8188/object_info | /home/zero/ComfyUI/venv/bin/python -c "
2
import json,sys; d=json.load(sys.stdin)
3
def o(n,k):
4
    v=d[n]['input']['required'][k][0]
5
    return v if isinstance(v,list) else v.get('options',[])
6
for n,k in [('CheckpointLoaderSimple','ckpt_name'),('UNETLoader','unet_name'),
7
            ('LoraLoader','lora_name'),('LoadBackgroundRemovalModel','bg_removal_name'),
8
            ('UpscaleModelLoader','model_name')]:
9
    print(n, o(n,k))
10
"

1
# 尺寸/内嵌工作流
2
/home/zero/ComfyUI/venv/bin/python -c "
3
from PIL import Image; import glob
4
p=sorted(glob.glob('/home/zero/ComfyUI/output/smoke_*.png'))[-1]
5
im=Image.open(p); print(p, im.size, im.mode, '内嵌prompt:', 'prompt' in im.info)"
6
# ⚠ 自己产生的临时图自己删掉
7
rm -f /home/zero/ComfyUI/output/smoke_*.png
8
ls -la /home/zero/ComfyUI/output/

1
# 抠像权重（必须放本地！外置盘那份当前是空的）
2
curl -x http://127.0.0.1:7897 -sSL -o /home/zero/ComfyUI/models/background_removal/birefnet.safetensors \
3
  "https://huggingface.co/Comfy-Org/BiRefNet/resolve/main/background_removal/birefnet.safetensors"
4
ls -la /home/zero/ComfyUI/models/background_removal/birefnet.safetensors   # 预期 ≈ 444473596 B
5
curl -s http://127.0.0.1:8188/object_info/LoadBackgroundRemovalModel        # options 应含 birefnet.safetensors

1
# 1) 从 /history 拿文件名
2
curl -s http://127.0.0.1:8188/history/<prompt_id> | \
3
  /home/zero/ComfyUI/venv/bin/python -c "
4
import json,sys; d=json.load(sys.stdin)
5
for k,rec in d.items():
6
    print('status:', rec['status']['status_str'])
7
    for n in rec['outputs'].values():
8
        for im in n.get('images',[]): print('history 报的产物:', im['filename'])
9
"
10
# 2) 逐个人工确认存在
11
ls -la /home/zero/ComfyUI/output/<filename>

1
/home/zero/ComfyUI/venv/bin/python -c "
2
from PIL import Image; import numpy as np
3
a=np.asarray(Image.open('<蒙版.png>').convert('L'))
4
print('前景(>128)占比 %.2f%%  均值 %.1f  唯一灰阶 %d' % ((a>128).mean()*100, a.mean(), len(np.unique(a))))"

1
ls /home/zero/ComfyUI/output/4K/*.png | wc -l      # 预期 11
2
ls /home/zero/ComfyUI/output/4K/*.txt | wc -l      # 预期 1（说明.txt）
3
/home/zero/ComfyUI/venv/bin/python -c "
4
from PIL import Image; import glob
5
for p in sorted(glob.glob('/home/zero/ComfyUI/output/4K/*.png')):
6
    w,h = Image.open(p).size
7
    print('%-46s %dx%d  长边=%d  %s' % (p.split('/')[-1], w, h, max(w,h),
8
          'OK' if max(w,h)==3840 else '★异常'))"

1
find /home/zero/ComfyUI/output -maxdepth 1 -type f        # 应无自己产生的图
2
ls /home/zero/ComfyUI/input | grep -E '_tmp_|^smoke_'     # 应无临时输入
3
curl -s http://127.0.0.1:8188/queue                       # queue_pending 应为空

1
PROXY="-x http://127.0.0.1:7897"
2
ROOT="/media/zero/本地磁盘/Model/comfyui"

1
curl $PROXY -sSL -o "$ROOT/checkpoints/animagine-xl-3.0.safetensors" \
2
  "https://huggingface.co/cagliostrolab/animagine-xl-3.0/resolve/main/animagine-xl-3.0.safetensors"
3
curl $PROXY -sSL -o "$ROOT/checkpoints/RealVisXL_V5.0_fp16.safetensors" \
4
  "https://huggingface.co/SG161222/RealVisXL_V5.0/resolve/main/RealVisXL_V5.0_fp16.safetensors"
5
# 需 Civitai token
6
curl $PROXY -sSL -o "$ROOT/checkpoints/chenkinNoobXLCKXL_v02.safetensors" \
7
  "https://civitai.com/api/download/models/2532077?fileId=2419852&token=<KEY>"

1
curl $PROXY -sSL -o "$ROOT/diffusion_models/anima_baseV10.safetensors" \
2
  "https://huggingface.co/circlestone-labs/Anima/resolve/main/split_files/diffusion_models/anima-base-v1.0.safetensors"
3
curl $PROXY -sSL -o "$ROOT/diffusion_models/krea2_raw_fp8_scaled.safetensors" \
4
  "https://huggingface.co/Comfy-Org/Krea-2/resolve/main/diffusion_models/krea2_raw_fp8_scaled.safetensors"
5
curl $PROXY -sSL -o "$ROOT/diffusion_models/Anima-2.9B-preview-v1_int8_convrot.safetensors" \
6
  "https://huggingface.co/Gazingstars123/Anima-2.9B/resolve/main/Anima-2.9B-preview-v1_int8_convrot.safetensors"
7
curl $PROXY -sSL -o "$ROOT/diffusion_models/qwen_image_2.1_int8_convrot.safetensors" \
8
  "https://huggingface.co/Comfy-Org/Qwen-Image-2.1/resolve/main/diffusion_models/qwen_image_2.1_int8_convrot.safetensors"
9
curl $PROXY -sSL -o "$ROOT/diffusion_models/wan2.1_t2v_1.3B_fp16.safetensors" \
10
  "https://huggingface.co/Comfy-Org/Wan_2.1_ComfyUI_repackaged/resolve/main/split_files/diffusion_models/wan2.1_t2v_1.3B_fp16.safetensors"
11
# ⚠ 必须带 fileId，否则会拿到 bf16/int8 档（该版本有 3 个文件）
12
curl $PROXY -sSL -o "$ROOT/diffusion_models/krea2Anime_v14_int4.safetensors" \
13
  "https://civitai.com/api/download/models/3307085?fileId=3192632&token=<KEY>"

1
curl $PROXY -sSL -o "$ROOT/text_encoders/qwen3vl_4b_fp8_scaled.safetensors" \
2
  "https://huggingface.co/Comfy-Org/Krea-2/resolve/main/text_encoders/qwen3vl_4b_fp8_scaled.safetensors"
3
curl $PROXY -sSL -o "$ROOT/text_encoders/qwen3vl_8b_int8_convrot.safetensors" \
4
  "https://huggingface.co/Comfy-Org/Qwen-Image-2.1/resolve/main/text_encoders/qwen3vl_8b_int8_convrot.safetensors"
5
curl $PROXY -sSL -o "$ROOT/text_encoders/qwen_3_06b_base.safetensors" \
6
  "https://huggingface.co/circlestone-labs/Anima/resolve/main/split_files/text_encoders/qwen_3_06b_base.safetensors"
7
curl $PROXY -sSL -o "$ROOT/text_encoders/umt5_xxl_fp16.safetensors" \
8
  "https://huggingface.co/Comfy-Org/Wan_2.1_ComfyUI_repackaged/resolve/main/split_files/text_encoders/umt5_xxl_fp16.safetensors"
9
curl $PROXY -sSL -o "$ROOT/vae/qwen_image_vae.safetensors" \
10
  "https://huggingface.co/Comfy-Org/Qwen-Image_ComfyUI/resolve/main/split_files/vae/qwen_image_vae.safetensors"
11
curl $PROXY -sSL -o "$ROOT/vae/qwen_image_2.1_vae_bf16.safetensors" \
12
  "https://huggingface.co/Comfy-Org/Qwen-Image-2.1/resolve/main/vae/qwen_image_2.1_vae_bf16.safetensors"
13
curl $PROXY -sSL -o "$ROOT/vae/wan_2.1_vae.safetensors" \
14
  "https://huggingface.co/Comfy-Org/Wan_2.1_ComfyUI_repackaged/resolve/main/split_files/vae/wan_2.1_vae.safetensors"

1
curl $PROXY -sSL -o "$ROOT/loras/DeepSeek_ZipZipPipe_style_anima2b.safetensors" \
2
  "https://civitai.com/api/download/models/3302634?fileId=3187626&token=<KEY>"
3
curl $PROXY -sSL -o "$ROOT/loras/deepseek_maid_outfit_illustrious_v10.safetensors" \
4
  "https://civitai.com/api/download/models/3218534?fileId=3100362&token=<KEY>"
5
curl $PROXY -sSL -o "$ROOT/loras/deepseek_whale_girl_anima_lora_clean.safetensors" \
6
  "https://civitai.com/api/download/models/3028705?fileId=2907525&token=<KEY>"
7
curl $PROXY -sSL -o "$ROOT/loras/deepseek_whale_girl_krea2.safetensors" \
8
  "https://civitai.com/api/download/models/3370723?fileId=3258833&token=<KEY>"
9
curl $PROXY -sSL -o "$ROOT/loras/deepseek_whalegirl_noobai.safetensors" \
10
  "https://civitai.com/api/download/models/2915962?fileId=2794189&token=<KEY>"
11
curl $PROXY -sSL -o "$ROOT/loras/ds_whalemaid_anima.safetensors" \
12
  "https://civitai.com/api/download/models/3213109?fileId=3094880&token=<KEY>"

1
curl $PROXY -sSL -o "$ROOT/upscale_models/4x-UltraSharp.pth" \
2
  "https://huggingface.co/Kim2091/UltraSharp/resolve/main/4x-UltraSharp.pth"
3
curl $PROXY -sSL -o "$ROOT/ipadapter/ip-adapter_sdxl.safetensors" \
4
  "https://huggingface.co/h94/IP-Adapter/resolve/main/sdxl_models/ip-adapter_sdxl.safetensors"
5
# clip_vision 二选一（两文件字节完全相同 = 3689912664）
6
curl $PROXY -sSL -o "$ROOT/clip_vision/CLIP-ViT-bigG-14-laion2B-39B-b160k.safetensors" \
7
  "https://huggingface.co/h94/IP-Adapter/resolve/main/sdxl_models/image_encoder/model.safetensors"   # 权威源，需重命名
8
# 或（同名单文件，免重命名）
9
curl $PROXY -sSL -o "$ROOT/clip_vision/CLIP-ViT-bigG-14-laion2B-39B-b160k.safetensors" \
10
  "https://huggingface.co/pseudotools/clip-vision-clip-vit-bigg-14-laion2b-39b-b160k/resolve/main/CLIP-ViT-bigG-14-laion2B-39B-b160k.safetensors"

1
curl $PROXY -sSL -o "/home/zero/ComfyUI/models/background_removal/birefnet.safetensors" \
2
  "https://huggingface.co/Comfy-Org/BiRefNet/resolve/main/background_removal/birefnet.safetensors"

1
# ① 文件不是 HTML 登录页（Civitai 缺 token 会下到 9.7KB 的 HTML 假文件）
2
file "/media/zero/本地磁盘/Model/comfyui/loras/deepseek_whale_girl_krea2.safetensors"   # 期望 data
3

4
# ② ComfyUI 真的看得见（唯一权威来源）
5
curl -s http://127.0.0.1:8188/object_info/CheckpointLoaderSimple \
6
  | python3 -c "import json,sys; print(json.load(sys.stdin)['CheckpointLoaderSimple']['input']['required']['ckpt_name'][0])"
7
curl -s http://127.0.0.1:8188/object_info/LoadBackgroundRemovalModel \
8
  | python3 -c "import json,sys; print(json.load(sys.stdin)['LoadBackgroundRemovalModel']['input']['required']['bg_removal_name'][0]['options'])"