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hermes-agent/skills/creative/comfyui/workflows/upscale_4x.json

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fix(skills/comfyui): bug fixes, cloud parity, expanded coverage, examples, tests The audit of v4.1 surfaced ~70 issues across the five scripts and three reference docs — most user-visible (silent file overwrites, status-error misclassified as success, X-API-Key leaked to S3 on /api/view redirect, Cloud endpoints that 404 because they were renamed). v5.0.0 fixes those and fills the gaps that previously forced users to write their own glue (WebSocket monitoring, batch/sweep, img2img upload helper, dep auto-fix, log fetch, health check, example workflows). Critical fixes - run_workflow.py: poll_status now checks status_str==error BEFORE completed:true, so a failed run no longer reports success - run_workflow.py: download_output streams to disk via safe_path_join, preserves server subfolder structure (no silent overwrites), and retries with exponential backoff - run_workflow.py: refuses to overwrite a link with a literal in inject_params (would silently break wiring) - _common.py: _StripSensitiveOnRedirectSession (subclasses requests.Session.rebuild_auth) drops X-API-Key/Cookie on cross-host redirects — fixes a real key-leak path through Cloud's signed-URL download flow. Tested - Cloud routing (verified live): /history → /history_v2, /models/<f> → /experiment/models/<f>, plus folder aliases for the unet ↔ diffusion_models and clip ↔ text_encoders rename - check_deps.py: distinguishes 200/empty vs 404 folder_not_found vs 403 free-tier; emits concrete fix_command per missing dep - extract_schema.py: prompt vs negative_prompt determined by tracing KSampler.{positive,negative} connections (incl. through Reroute / Primitive nodes) instead of meta-title heuristic; symmetric duplicate-name resolution; cycle-safe trace_to_node - hardware_check.py: multi-GPU pick-best, Apple variant detection, Rosetta detection, WSL2, ROCm --json, disk-space check, optional PyTorch probe; powershell preferred over deprecated wmic - comfyui_setup.sh: prefers pipx → uvx → pip --user (with PEP-668 fallback); idempotent — skips relaunch if server already up; configurable port/workspace; persistent log; SIGINT trap New scripts - run_batch.py — count or sweep (cartesian product), parallel up to cloud tier limit - ws_monitor.py — real-time WebSocket viewer; saves preview frames - auto_fix_deps.py — runs comfy node install / model download for whatever check_deps reports missing (with --dry-run) - health_check.py — single command that runs the verification checklist (comfy-cli + server + checkpoints + optional smoke test that cancels itself to avoid burning compute) - fetch_logs.py — pull traceback / status messages for a prompt_id Coverage expansion - Param patterns now cover Flux (BasicScheduler, BasicGuider, RandomNoise, ModelSamplingFlux), SD3, Wan/Hunyuan/LTX video, IPAdapter, rgthree, easy-use, AnimateDiff - Embedding refs in CLIPTextEncode strings extracted as model deps - ckpt_name / vae_name / lora_name / unet_name now controllable so workflows can be retargeted per run Examples - workflows/{sd15,sdxl,flux_dev}_txt2img.json - workflows/sdxl_{img2img,inpaint}.json - workflows/upscale_4x.json - workflows/{animatediff_video,wan_video_t2v}.json + README Tests - 117 tests (105 unit + 8 cloud integration + 4 cross-host security) - Cloud tests auto-skip without COMFY_CLOUD_API_KEY; verified end-to-end against live cloud API Backwards compatibility - All existing CLI flags continue to work; new behavior is opt-in (--ws, --input-image, --randomize-seed, --flat-output, etc.)
2026-04-29 20:50:52 -04:00
{
"_comment": "Standalone 4x upscale of an input image using ESRGAN. Required model: 4x-UltraSharp.pth (or any upscaler in models/upscale_models/). Upload with --input-image image=./photo.png.",
"1": {
"class_type": "LoadImage",
"_meta": {"title": "Load Image"},
"inputs": {"image": "REPLACE_WITH_UPLOADED_FILENAME.png"}
},
"2": {
"class_type": "UpscaleModelLoader",
"_meta": {"title": "Load Upscale Model"},
"inputs": {"model_name": "4x-UltraSharp.pth"}
},
"3": {
"class_type": "ImageUpscaleWithModel",
"_meta": {"title": "Upscale Image (with Model)"},
"inputs": {
"upscale_method": "lanczos",
"upscale_model": ["2", 0],
"image": ["1", 0]
}
},
"4": {
"class_type": "SaveImage",
"_meta": {"title": "Save"},
"inputs": {"filename_prefix": "upscaled_4x", "images": ["3", 0]}
}
}