GET
/v1/models/fal/fal-fal-ai-trellis-2-lora-trainer
Accept:
| rawId | fal-ai/trellis-2-lora-trainer |
| displayName | TRELLIS.2 Trainer |
| id | fal-fal-ai-trellis-2-lora-trainer |
| activity | not declared by the provider |
| schemaEndpointId | fal-ai/trellis-2-lora-trainer |
| releasedAt | 1782244864 — Jun 23, 2026 |
| firstSeenAt | 1782244864 — Jun 23, 2026 |
| lastSeenAt | 1793925941 — 7d ago |
| pricing | rate card, per unit → open calculator num_objects (usage) · reuse_prepared_dataset (usage) · denoiser (usage) · steps (usage) · rank (usage) · resolution (usage) $9.3423 — one-time dataset-preparation charge of $0.10023 per input object (10-object minimum $8.34 — waived when you reuse a prepared dataset $9.3423 — $8.34 per 1,000 steps for sparse_structure $4.2523 — $3.25 per 1,000 steps for geometry $4.3823 — $3.38 per 1,000 steps for texture $5.1723 — scaled by your rank (×0.5 for 16 $17.6823 — ×2 for 64 $17.6823 — resolution (×2 for 1024 |
| providerMetadata | {"category":"training"} |
| contextWindow · maxOutput · modalities · capabilities · knowledgeCutoff · openWeights · weightsUrl · requestMap | not published by this provider’s list endpoint |
Endpoints & schemas
GET /v1/schemas/fal →Sources
| field | recorded source |
|---|---|
| pricing | Source linked above. docs-extracted Source trace037c76e3ff92c4422109541f0da76bebb1f6229fc3b2181419aef5c0f6c8f1f1{
"fetchedAt": 1791363644
} |
| activity | Source unknown — no source URL recorded. |
| contextWindow | Source unknown — no source URL recorded. |
| maxOutput | Source unknown — no source URL recorded. |
| modalities | Source unknown — no source URL recorded. |
| capabilities | Source unknown — no source URL recorded. |
| reasoning | Source unknown — no source URL recorded. |
| requestMap | Source unknown — no source URL recorded. |
| schemaEndpointId | Source unknown — no source URL recorded. |
Use it
shell
$ curl https://modelschemas.com/v1/schemas/fal/video/alibaba/happy-horse/image-to-video # request schema
$ curl -X POST https://modelschemas.com/v1/validate -d '{"provider":"fal","endpointId":"alibaba/happy-horse/image-to-video","payload":{…}}'
$ curl -X POST https://modelschemas.com/v1/estimate -d '{"provider":"fal","model":"fal-ai/trellis-2-lora-trainer","usage":{"input_tokens":1200,"output_tokens":400}}'