10-of-my-most-popular-text-to-image-series-prompts-78b0897e
generate a bunch of images, then you curate the results to handpick the best ones
Create, convert, and download AI-generated 3D models using Neural4D APIs. Optimized for commercial pipelines.
Follow the repository instructions for this skill and your agent. Review the files and dependencies before adding it to your workflow.
SkillHub CLI
skillhub install 6e6e6e/ai-3d-generationInspect the source and compatibility requirements, then follow its installation steps.
Give your agent the source link and ask it to inspect instructions and dependencies before explaining the installation steps.
On first use, ensure the NEURAL4D_API_TOKEN environment variable is set.
All API requests must include the header: Authorization: Bearer <YOUR_TOKEN>.
Use this skill when generating 3D models from text prompts or images using DreamTech's Neural4D engine. This is particularly suited for creating assets where precise format conversions (like .stl, .obj, .fbx) and physical dimensions are required for manufacturing workflows.
Always track API point costs before executing bulk runs:
/api/queryPointsInfo.Model generation is asynchronous. You must poll for completion:
/api/retrieveModel using the uuid.codeStatus:
0: Generation complete.1: Generating (Wait and poll again).-3: Generation failed.POST https://alb.neural4d.com:3000/api/generateModelWithText.
{"prompt": "...", "modelCount": 4, "disablePbr": 0}.uuids from the response./api/retrieveModel with the uuid until codeStatus is 0.modelUrl and download the .glb asset.multipart/form-data to /api/mattingImage. Extract the requestId.requestId to /api/getMattedResult. Extract a preferred fileKey from the response.fileKey to /api/generateModelWithImage to start generation and receive uuids./api/retrieveModel to poll...These signals come from indexed source analysis and may lag behind changes. Check the current source files.
## Setup
On first use, ensure the `NEURAL4D_API_TOKEN` environment variable is set.
All API requests must include the header: `Authorization: Bearer <YOUR_TOKEN>`.
## When to Use
Use this skill when generating 3D models from text prompts or images using DreamTech's Neural4D engine. This is particularly suited for creating assets where precise format conversions (like `.stl`, `.obj`, `.fbx`) and physical dimensions are required for manufacturing workflows.
## Core Rules & Cost Guardrails
### 1. Point Consumption Awareness
Always track API point costs before executing bulk runs:
- **Text to 3D:** 20 points per operation.
- **Image to 3D:** 20 points per operation.
- **Chibi-style Generation:** 30 points per operation.
- **Format Conversion:** 10 points per operation.
- You can query the remaining balance at `/api/queryPointsInfo`.
### 2. Asynchronous Polling Contract
Model generation is asynchronous. You must poll for completion:
- Query `/api/retrieveModel` using the `uuid`.
- Check `codeStatus`:
- `0`: Generation complete.
- `1`: Generating (Wait and poll again).
- `-3`: Generation failed.
## Workflow Pipelines
### Pipeline A: Text to 3D
1. **Request:** `POST https://alb.neural4d.com:3000/api/generateModelWithText`.
- Payload: `{"prompt": "...", "modelCount": 4, "disablePbr": 0}`.
2. **Retrieve:** Extract `uuids` from the response.
3. **Poll:** Call `/api/retrieveModel` with the `uuid` until `codeStatus` is `0`.
4. **Download:** Extract `modelUrl` and download the `.glb` asset.
### Pipeline B: Image to 3D (Strict 3-Step Process)
1. **Matting:** Submit the image (JPG/PNG, <10MB, 256x256 to 6048x8064) via `multipart/form-data` to `/api/mattingImage`. Extract the `requestId`.
2. **Get Matting Result:** Send the `requestId` to `/api/getMattedResult`. Extract a preferred `fileKey` from the response.
3. **Generate:** Send the `fileKey` to `/api/generateModelWithImage` to start generation and receive `uuids`.
4. **Poll:** Use `/api/retrieveModel` to poll...generate a bunch of images, then you curate the results to handpick the best ones
generate a bunch of images, then you curate the results to handpick the best ones
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