wan-ai/wan-2-1/lora
Apply custom LoRA styles and motion effects effortlessly, enabling distinctive looks, playful trends, and cinematic camera techniques for tailored, standout videos.
Table of contents
1. Get started
Use RunComfy's API to run wan-ai/wan-2-1/lora. For accepted inputs and outputs, see the model's schema.
curl --request POST \
--url https://model-api.runcomfy.net/v1/models/wan-ai/wan-2-1/lora \
--header "Content-Type: application/json" \
--header "Authorization: Bearer <token>" \
--data '{
"prompt": "A vast circular library of glowing memory orbs stretches in all directions, with tall curved shelves extending upward. Each orb contains a different memory, glowing in various colors - yellow for joy, blue for sadness, red for anger, purple for fear, and green for disgust. In the foreground, two characters - a small blue figure with glasses and a tall slender yellow figure with bright blue hair - are examining a particularly bright memory orb. Light streams cascade through the enormous room, creating dramatic beams between the shelves. The space has a warm ambient glow with dramatic shadows. Small maintenance worker characters in uniform can be seen in the background, carefully organizing orbs on distant shelves. The rendering features Pixar's characteristic polished surfaces with subtle reflections and depth-of-field blur for distant elements.",
"lora_url": "https://playgrounds-storage-public.runcomfy.net/models/wan2.1/lora/Remade-AI/Pixar/pixar_10_epochs.safetensors"
}'2. Authentication
Set the YOUR_API_TOKEN environment variable with your API key (manage keys in your Profile) and include it on every request as a Bearer token via the Authorization header: Authorization: Bearer $YOUR_API_TOKEN.
3. API reference
Submit a request
Submit an asynchronous generation job and immediately receive a request_id plus URLs to check status, fetch results, and cancel.
curl --request POST \
--url https://model-api.runcomfy.net/v1/models/wan-ai/wan-2-1/lora \
--header "Content-Type: application/json" \
--header "Authorization: Bearer <token>" \
--data '{
"prompt": "A vast circular library of glowing memory orbs stretches in all directions, with tall curved shelves extending upward. Each orb contains a different memory, glowing in various colors - yellow for joy, blue for sadness, red for anger, purple for fear, and green for disgust. In the foreground, two characters - a small blue figure with glasses and a tall slender yellow figure with bright blue hair - are examining a particularly bright memory orb. Light streams cascade through the enormous room, creating dramatic beams between the shelves. The space has a warm ambient glow with dramatic shadows. Small maintenance worker characters in uniform can be seen in the background, carefully organizing orbs on distant shelves. The rendering features Pixar's characteristic polished surfaces with subtle reflections and depth-of-field blur for distant elements.",
"lora_url": "https://playgrounds-storage-public.runcomfy.net/models/wan2.1/lora/Remade-AI/Pixar/pixar_10_epochs.safetensors"
}'Monitor request status
Fetch the current state for a request_id ("in_queue", "in_progress", "completed", or "cancelled").
curl --request GET \
--url https://model-api.runcomfy.net/v1/requests/{request_id}/status \
--header "Authorization: Bearer <token>"Retrieve request results
Retrieve the final outputs and metadata for the given request_id; if the job is not complete, the response returns the current state so you can continue polling.
curl --request GET \
--url https://model-api.runcomfy.net/v1/requests/{request_id}/result \
--header "Authorization: Bearer <token>"Cancel a request
Cancel a queued job by request_id, in-progress jobs cannot be cancelled.
curl --request POST \
--url https://model-api.runcomfy.net/v1/requests/{request_id}/cancel \
--header "Authorization: Bearer <token>"4. File inputs
Hosted file (URL)
Provide a publicly reachable HTTPS URL. Ensure the host allows server‑side fetches (no login/cookies required) and isn't rate‑limited or blocking bots. Recommended limits: images ≤ 50 MB (~4K), videos ≤ 100 MB (~2–5 min @ 720p). Prefer stable or pre‑signed URLs for private assets.
5. Schema
Input schema
{
"type": "object",
"title": "Input",
"required": [
"prompt",
"lora_url"
],
"properties": {
"lora_url": {
"title": "Wan 2.1 LoRA URL",
"description": "Enter a Hugging Face or Civitai link. ONLY ONE LoRA upload at a time.",
"type": "string",
"default": "https://playgrounds-storage-public.runcomfy.net/models/wan2.1/lora/Remade-AI/Pixar/pixar_10_epochs.safetensors"
},
"model": {
"title": "Wan 2.1 Base Model",
"description": "",
"type": "string",
"enum": [
"1.3b",
"14b"
],
"default": "14b"
},
"prompt": {
"title": "Prompt",
"description": "",
"type": "string",
"default": "A vast circular library of glowing memory orbs stretches in all directions, with tall curved shelves extending upward. Each orb contains a different memory, glowing in various colors - yellow for joy, blue for sadness, red for anger, purple for fear, and green for disgust. In the foreground, two characters - a small blue figure with glasses and a tall slender yellow figure with bright blue hair - are examining a particularly bright memory orb. Light streams cascade through the enormous room, creating dramatic beams between the shelves. The space has a warm ambient glow with dramatic shadows. Small maintenance worker characters in uniform can be seen in the background, carefully organizing orbs on distant shelves. The rendering features Pixar's characteristic polished surfaces with subtle reflections and depth-of-field blur for distant elements."
},
"image": {
"title": "Image",
"description": "",
"type": "string"
},
"resolution": {
"title": "Resolution",
"description": "",
"type": "string",
"enum": [
"480p",
"720p"
],
"default": "480p"
},
"aspect_ratio": {
"title": "Aspect Ratio (W:H)",
"description": "",
"type": "string",
"enum": [
"16:9",
"1:1",
"9:16"
],
"default": "16:9"
},
"negative_prompt": {
"title": "Negative Prompt",
"description": "",
"type": "string",
"default": ""
},
"sample_guide_scale": {
"title": "Prompt Strength",
"description": "",
"maximum": 10,
"minimum": 0,
"type": "float",
"default": 5
},
"lora_strength_model": {
"title": "LoRA Strength",
"description": "Higher numbers mean stronger effects.",
"maximum": 1,
"minimum": 0,
"type": "float",
"default": 1
},
"sample_steps": {
"title": "sample_steps",
"description": "sample_steps",
"type": "integer",
"default": 30,
"maximum": 60,
"minimum": 1
},
"seed": {
"title": "Seed",
"description": "",
"type": "integer",
"default": 80682279
}
}
}Output schema
{
"output": {
"type": "object",
"properties": {
"image": {
"type": "string",
"format": "uri",
"description": "single image URL"
},
"video": {
"type": "string",
"format": "uri",
"description": "single video URL"
},
"images": {
"type": "array",
"description": "multiple image URLs",
"items": { "type": "string", "format": "uri" }
},
"videos": {
"type": "array",
"description": "multiple video URLs",
"items": { "type": "string", "format": "uri" }
}
}
}
}