Flux Dev LoRA

Flux Dev LoRA

Playground

Super fast endpoint for the FLUX.1 [dev] model with LoRA support, enabling rapid and high-quality image generation using pre-trained LoRA adaptations for personalization, specific styles, brand identities, and product-specific outputs.

Features

Flux-dev-lora

FLUX.1 [dev] is a 12B parameter rectified flow transformer for advanced text-to-image generation. It supports prompt-only generation as well as image inpainting and LoRA customization, making it a flexible tool for both research and creative workflows.

Why it looks great

• High-quality output: Cutting-edge visual fidelity, second only to FLUX.1 [pro].
• Prompt alignment: Strong competitive prompt following, rivaling closed-source alternatives.
• Efficient training: Trained with guidance distillation for better speed-performance balance.
• Flexible editing: Supports image + mask editing, LoRA fine-tuning, and custom strength control.
• Open weights: Enables research, experimentation, and innovative creative pipelines.

Limits and Performance

• Max resolution: up to 1536 × 1536 pixels

• Optional inputs:

  • image (for img2img)
  • mask_image (for inpainting)

• LoRA support: add multiple .safetensors with adjustable scale

• Inference controls:

  • num_inference_steps (default ~28)
  • guidance_scale (default ~3.5)
  • strength (the strength of transform the reference image)

• Output format: JPEG / PNG / WEBP

• Seed: reproducibility (-1 = random)

Pricing

Just $0.015 per image !!

How to Use

1. Write a prompt — detailed scene + style (lighting, realism, mood).

2. (Optional) Upload an image to guide generation.

3. (Optional) Add a mask image for inpainting.

4. Adjust parameters:

   • Strength (the strength of transform the reference image).
   • LoRAs (add path/URL + scale).
   • Size (width & height, up to 1024×1024).
   • Inference steps and guidance scale.

5. Set num_images (default 1).

6. (Optional) Fix seed for reproducibility.

7. Choose output format and run.

Pro tips

• Use higher inference steps for more detail, lower for speed.
• Adjust guidance scale to balance prompt strength vs. creativity (3–7 recommended).
• Apply mask + strength for clean local edits (inpainting).
• Blend multiple LoRAs for hybrid style outputs.
• Use consistent seeds when testing parameter changes for controlled comparison.

Notes

• The image URL must be valid and accessible; otherwise, the job may fail.
• For mask_image, do not upload the original or unprocessed image directly — ensure the mask is correctly prepared.
• LoRA files must be uploaded from trusted platforms and set to public access to be usable.
• Parameters such as num_inference_steps (and others) directly affect runtime: the larger the value, the longer the generation will take.

Reference

• Use your LoRA

• Train your LoRA

# Submit the task
curl --location --request POST "https://api.wavespeed.ai/api/v3/wavespeed-ai/flux-dev-lora" \
--header "Content-Type: application/json" \
--header "Authorization: Bearer ${WAVESPEED_API_KEY}" \
--data-raw '{
    "strength": 0.8,
    "loras": [
        {
            "path": "strangerzonehf/Flux-Super-Realism-LoRA",
            "scale": 1
        }
    ],
    "size": "1024*1024",
    "num_inference_steps": 28,
    "guidance_scale": 3.5,
    "num_images": 1,
    "seed": -1,
    "output_format": "jpeg",
    "enable_base64_output": false,
    "enable_sync_mode": false
}'

# Get the result
curl --location --request GET "https://api.wavespeed.ai/api/v3/predictions/${requestId}/result" \
--header "Authorization: Bearer ${WAVESPEED_API_KEY}"