Flux Dev LoRA Ultra Fast

Flux Dev LoRA Ultra Fast

Playground

Ultra-fast FLUX.1 [dev] endpoint with LoRA support for high-quality image generation, personalization, and brand/style adaptation. Ready-to-use REST inference API, best performance, no coldstarts, affordable pricing.

Features

FLUX Dev LoRA Ultra Fast — wavespeed-ai/flux-dev-lora-ultra-fast

FLUX Dev LoRA Ultra Fast is a high-speed image generation and editing model that supports applying up to three LoRAs in a single run. It’s built for rapid iteration: generate new images from a prompt, or guide results with an input image (image-to-image) and an optional mask for localized edits. With LoRA stacking, you can quickly dial in style, character identity, or product aesthetics while keeping latency and cost low.

Key capabilities

• Text-to-image generation with fast turnaround
• Image-to-image generation for guided edits and variations
• Masked editing (inpainting-style) for localized changes
• LoRA support: add up to 3 LoRAs per run
• Adjustable strength for how strongly the input image is preserved
• Custom output size, seed control, and standard image formats

Use cases

• Rapid style exploration using one or more LoRAs (photoreal, illustration, anime, etc.)
• Character consistency by stacking identity + style LoRAs
• Product mockups: swap materials/colors and keep composition stable
• Portrait retouching or wardrobe/background changes with a mask
• High-volume generation for ads, thumbnails, and creative testing

Pricing

Inputs

• prompt (required): what to generate or how to edit
• image (optional): source image for image-to-image
• mask_image (optional): edit region mask (for localized edits)
• loras (optional): list of LoRA items (up to 3)

Parameters

• strength: how much to follow the input image (higher = more change; lower = more preservation)
• loras[].path: LoRA identifier (owner/model) or a public .safetensors URL
• loras[].scale: LoRA weight (typical range ~0.6–1.2 depending on LoRA)
• width / height: output size
• num_inference_steps: sampling steps
• guidance_scale: prompt adherence strength
• num_images: number of images to generate per run
• seed: random seed (-1 for random; set for reproducible results)
• output_format: jpeg / png / webp, etc.
• enable_base64_output: return BASE64 instead of URL (API only)

Prompting tips

• If you’re stacking LoRAs, keep the base prompt clean and let LoRAs do the heavy lifting.
• For edits, describe the change explicitly and keep “what stays the same” implicit via the input image.
• For text rendering in images, keep on-image text short and specify placement/material.

Example prompts

• Super realism, ultra high-resolution photograph, cinematic lighting, shallow depth of field, shot on a Sony A7III, natural skin texture, sharp eyes, soft bokeh background.
• Edit: change the outfit to a light gray sweater and gold thin-rimmed glasses, keep the same face and hairstyle, realistic studio lighting.

# Submit the task
curl --location --request POST "https://api.wavespeed.ai/api/v3/wavespeed-ai/flux-dev-lora-ultra-fast" \
--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
}'

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