# Juggernaut Flux Lora Juggernaut Base Flux LoRA by RunDiffusion is a Flux [Dev] replacement that makes LoRAs and LyCORIS sharper, more colorful, and more realistic — fully compatible. ## API Information - **Model Slug:** juggernaut-flux-lora - **Branded URL:** https://www.eachlabs.ai/black-forest-labs/flux-juggernaut/juggernaut-flux-lora - **Provider:** Black Forest Labs - **Category:** Text to Image - **Output Type:** array - **Status:** active - **Version:** 0.0.1 - **Base Cost:** $0.045 per image (input.num_images, default 1) - **Estimated Processing Time:** 20 seconds - **Last Updated:** 2026-06-10 - **Interactive Demo:** https://www.eachlabs.ai/ai-models/juggernaut-flux-lora ## Pricing - **Charge Type:** dynamic - **Estimated Price (default example):** $0.0450 - **Pricing Details:** $0.045 per image (input.num_images, default 1) ### Pricing Rules | Condition | Pricing | | --- | --- | | Rule 1 | $0.045 per image (input.num_images, default 1) | ## Input Schema | Parameter | Type | Required | Default | Constraints | Description | |-----------|------|----------|---------|-------------|-------------| | prompt | string | Yes | - | - | The prompt to generate an image from. | | image_size | string | No | landscape_4_3 | square_hd,square,portrait_4_3,portrait_16_9,landscape_4_3,landscape_16_9 | The size of the generated image. | | num_inference_steps | integer | No | 28 | 1–50 | The number of inference steps to perform. | | seed | integer | No | - | - | The same seed and the same prompt given to the same version of the model will output the same image every time. | | loras | array | No | - | 1–1 | The LoRAs to use for the image generation. You can use any number of LoRAs and they will be merged together to generate the final image. | | guidance_scale | number | No | 3.5 | 0–35 | The CFG (Classifier Free Guidance) scale is a measure of how close you want the model to stick to your prompt when looking for a related image to show you. | | num_images | integer | No | 1 | 1–4 | The number of images to generate. | | enable_safety_checker | boolean | No | true | - | If set to true, the safety checker will be enabled. | | output_format | string | No | jpeg | jpeg,png | The format of the generated image. | ## Example Request ```bash curl -X POST https://api.eachlabs.ai/v1/prediction/ \ -H "Authorization: Bearer YOUR_API_KEY" \ -H "Content-Type: application/json" \ -d '{ "model": "juggernaut-flux-lora", "input": { "prompt": "A vibrant, high-energy indoor party scene at night, with colorful neon lights, people dancing, drinks on tables, and a DJ in the background. A large glowing banner on the wall displays the word 'Eachlabs' in bold, stylish letters, adding to the festive atmosphere. Confetti fills the air, with cinematic lighting and ultra-detailed, photorealistic style." } }' ``` ## Output Schema Response returned by `GET /v1/prediction/{id}` when the job completes: ```json { "status": "success", "predictionID": "string", "output": "array", "metrics": { "predict_time": "number (seconds)" } } ``` ## Polling ```bash curl https://api.eachlabs.ai/v1/prediction/{PREDICTION_ID} \ -H "Authorization: Bearer YOUR_API_KEY" ``` | Status | Meaning | |--------|---------| | `processing` | Still running — poll again | | `success` | Done — read `output` | | `error` | Failed — read `message` / `details` | ## Webhook (alternative to polling) Pass `"webhook_url": "https://your.host/path"` in the create request. Eachlabs POSTs this payload when the job ends: ```json { "exec_id": "prediction-uuid", "status": "succeeded", "output": "https://...", "error": "" } ``` `status` is `"succeeded"` or `"failed"`. `exec_id` equals the `predictionID` from create. Return 2xx within 30 seconds. ## Errors Error body: `{ "status": "error", "message": "...", "details": "..." }` | Code | Meaning | |------|---------| | `400` | Invalid input | | `401` | Missing / invalid `Authorization` bearer token | | `404` | Unknown model or prediction id | | `429` | Rate limit — 100 creates / min, 10 concurrent per key | | `5xx` | Retry with backoff | ## Overview **juggernaut-flux-lora — Text-to-Image AI Model** juggernaut-flux-lora, a Flux [Dev] replacement from the flux-juggernaut family by Black Forest Labs, revolutionizes text-to-image generation by making LoRAs and LyCORIS sharper, more colorful, and realistic while ensuring full compatibility with existing workflows. This text-to-image AI model excels in producing high-fidelity outputs that surpass standard Flux Dev in detail and vibrancy, ideal for creators seeking Flux LoRA enhancements without retraining. Developed as Juggernaut Base Flux LoRA by RunDiffusion, juggernaut-flux-lora delivers photorealistic results with superior prompt adherence, addressing common issues like muted colors and soft edges in Black Forest Labs text-to-image models. ## Usage Notes - API Base URL: `https://api.eachlabs.ai/v1` - Authentication: send `Authorization: Bearer YOUR_API_KEY`. Generate a key from the Eachlabs dashboard at https://www.eachlabs.ai/dashboard/api-keys. - File-typed parameters (`*_url`, `image_url`, `video_url`, `audio_url`, etc.) accept publicly-reachable HTTPS URLs only. Upload your asset first (GCS / S3 / your CDN) and pass the resulting URL. Data-URIs and localhost URLs are rejected. - For structured parameters (arrays / objects) send real JSON values, not stringified payloads. - Monetary values are reported in USD; per-token / per-megapixel rates may be billed in micro-cents internally. - Prefer `webhook_url` over polling for long-running predictions — see the Webhook Callback section.