SDXL
Abundant Snake Dancer / Project SEKAI - AnimagineXL3.1 / Red
model_id: abundant-snake-dancer-project-sekai-animaginexl3-1-red
Generate images from text with Abundant Snake Dancer / Project SEKAI AnimagineXL3.1 / Red. High-resolution AI image generation. Plans from $21/month. Variant3 color, Red.Base Model is AnimagineXL V3.1Recommended LoRA weight is 0.7-0.9If you are concerned about the quality of the illustration, try following LBW0,0,0.2,0.2,0,0.4,0.4,0,0.8,0.8,0,0,0,0.8,0.8,0.6,0.8,0.0,0.0,0.0,0,0,0,0,0,0 You can integrate Abundant Snake Dancer / Project SEKAI - AnimagineXL3.1 / Red into your application with a single API call. Sign up on ModelsLab to get your API key, then use the model ID "abundant-snake-dancer-project-sekai-animaginexl3-1-red" in your API requests. We provide SDKs for Python, JavaScript, and cURL examples in the API documentation. Abundant Snake Dancer / Project SEKAI - AnimagineXL3.1 / Red costs $0.0047 per API call. ModelsLab plans start at $21/month (Basic), and the $149/month Open Source plan includes unlimited generation on open-source models.
Generate with Abundant Snake Dancer / Project SEKAI - AnimagineXL3.1 / Red via API
Send a POST request to https://stablediffusionapi.com/api/v4/dreambooth with your API key.
Get yours at modelslab.com.
curl -X POST 'https://stablediffusionapi.com/api/v4/dreambooth' \
-H 'Content-Type: application/json' \
-d '{
"key": "YOUR_API_KEY",
"model_id": "abundant-snake-dancer-project-sekai-animaginexl3-1-red",
"prompt": "a photo of abundant snake dancer / project sekai - animaginexl3.1 / red",
"negative_prompt": null,
"width": "512",
"height": "512",
"samples": "1",
"num_inference_steps": "30",
"guidance_scale": "7.5",
"safety_checker": "no",
"enhance_prompt": "yes",
"seed": null,
"webhook": null,
"track_id": null
}'Parameters
| Parameter | Default | Description |
|---|---|---|
| model_id | abundant-snake-dancer-project-sekai-animaginexl3-1-red | Model identifier |
| prompt | ||
| negative_prompt | ||
| width | 512 | Output image width (px) |
| height | 512 | Output image height (px) |
| samples | 1 | Number of images to generate |
| num_inference_steps | 30 | Denoising steps (1-50) |
| guidance_scale | 7.5 | Prompt adherence (1-20) |
| seed | null | Random seed (null to randomize) |
| safety_checker | yes | NSFW filter (yes/no) |
| enhance_prompt | yes | Auto-improve prompt (yes/no) |
Also searched as
Abundant Snake Dancer / Project SEKAI - AnimagineXL3.1 / Red is also known as: Abundant Snake Dancer / Project SEKAI - AnimagineXL3.1 / Red, abundant-snake-dancer-project-sekai-animaginexl3-1-red, abundant snake dancer project sekai animaginexl3 1 red, abundantsnakedancerprojectsekaianimaginexl31red, abundant.snake.dancer.project.sekai.animaginexl3.1.red, abundant-snake-dancer-project-sekai-animaginexl3.1-red. Use it for sdxl generation, available via the Stable Diffusion API REST API at https://stablediffusionapi.com/api/v4/dreambooth.
FAQ — Abundant Snake Dancer / Project SEKAI - AnimagineXL3.1 / Red
- How do I use Abundant Snake Dancer / Project SEKAI - AnimagineXL3.1 / Red via API?
- Send a POST request to https://stablediffusionapi.com/api/v4/dreambooth with your API key, prompt, and model_id "abundant-snake-dancer-project-sekai-animaginexl3-1-red". Get an API key from modelslab.com.
- Is Abundant Snake Dancer / Project SEKAI - AnimagineXL3.1 / Red free to use?
- No. API access requires a paid ModelsLab plan, starting at $21/month (Basic, 3,250 API calls). The $149/month Open Source Unlimited plan includes unlimited generations on open-source models; third-party models are billed separately.
- What parameters does Abundant Snake Dancer / Project SEKAI - AnimagineXL3.1 / Red support?
- Abundant Snake Dancer / Project SEKAI - AnimagineXL3.1 / Red accepts standard Stable Diffusion parameters: prompt, negative_prompt, width, height, samples, num_inference_steps (default 30), guidance_scale (default 7.5), seed, and safety_checker.
- Can I use generated images commercially?
- Yes. You retain copyright on all images you generate via the API and can use them commercially.
