wan / v2.7 / fal / createImage
Wan 2.7 — the closed flagship, and the Buzz meter for the 'pro' tier
- loras
- api_config
- images
- errors
- workflow_id
- raw_json
Wan 2.7 is the newest closed Wan, and it's... fine, apparently. The community's loudest reaction was a one-line dunk ("Its shit tbh, compared to other closed source models") plus general indifference, though the one real evaluation found it genuinely strong on small-detail textures in close-ups and stills. You can't run it locally - no weights exist - so this node is how it gets into ComfyUI: a cloud recipe on the fal engine, billed in Buzz.
The distinctive thing about this node isn't the model, it's the use_pro toggle. That's the "pay for the better tier" switch - same node, same prompt, and use_pro on means the job runs on Civitai's higher-cost lane (more compute, presumably better results, definitely more Buzz). If you're cost-conscious, that's the single most important knob in the pack: it's the difference between a cheap experiment and a bill you notice.
Inputs and outputs
prompt(required).use_pro(default false) - the pro-tier toggle. Off for drafts, on for the keeper.guidance_scale- 3.5 default.image_size- preset string (square_hd).enable_prompt_expansion,enable_safety_checker,loras,negative_prompt,seed,quantity(up to 12),output_format,image_metadata.
Outputs: images (IMAGE), errors, workflow_id, raw_json. The raw_json is worth wiring to a text viewer on this node specifically - it's where you'll see what the pro-tier job actually charged.
Install
cd ComfyUI/custom_nodes
git clone https://github.com/civitai/civitai-comfy-nodes.git
pip install -r civitai-comfy-nodes/requirements.txt
Or ComfyUI Manager → "Civitai Comfy Nodes" → Install → restart. Authenticate (CIVITAI_API_TOKEN or sidebar) - required, since every run bills your account.
Gotchas
The Wan 2.7 line is where the "open Wan" story fully dead-ended, and this pack faithfully reflects it: no weights, no local fallback, and a use_pro gate on top. Before you spend Buzz, the honest advice from the community's own comparison: 2.7's best territory is static and slow-pan work with fine detail - faces, fabric, water. It showed "visible pose discontinuity" on heavy character motion, and reviewers kept pointing at free open models (LTX2 especially) as the better value. So the practical play: draft at use_pro off, evaluate the still against a free local model, and only spend the pro tier when the output genuinely needs it. The node works exactly as advertised; whether 2.7 is worth its price is a question the node's use_pro toggle forces you to answer for yourself, one job at a time.
Inputs (13)
| Name | Type | Default | Description |
|---|---|---|---|
| prompt | STRING | — | |
| output_formatopt | COMBO | 4 options: , jpeg, png, webP | |
| image_metadataopt | STRING | External metadata that will be stored with the image | |
| negative_promptopt | STRING | — | |
| guidance_scaleopt | FLOAT | 3.501–10 | — |
| seedopt | INT | 00–4294967295 | — |
| quantityopt | INT | 11–10 | — |
| image_sizeopt | STRING | square_hd | — |
| enable_prompt_expansionopt | BOOLEAN | false | — |
| enable_safety_checkeropt | BOOLEAN | false | — |
| lorasopt | CIVITAI_LORAS | — | |
| use_proopt | BOOLEAN | false | — |
| api_configopt | CIVITAI_CONFIG | Optional Civitai Auth connection; defaults to CIVITAI_API_TOKEN or stored OAuth login. |
Outputs (4)
| Name | Type | Description |
|---|---|---|
| images | IMAGE | — |
| errors | STRING | — |
| workflow_id | STRING | — |
| raw_json | STRING | — |