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lora-support

lora-support

Flux Kontext Dev LoRA

wavespeed-ai/flux-kontext-dev-lora-ultra-fast

Ultra-fast FLUX.1 Kontext [dev] endpoint with LoRA support for rapid image editing and brand/style adaptation using pre-trained LoRA. Ready-to-use REST inference API, best performance, no coldstarts, affordable pricing.

Input

Hint: You can drag and drop a file or click to upload

preview
width
height
1024 × 1024 px
Range: 256 - 1536
If enabled, the output will be encoded into a BASE64 string instead of a URL. This property is only available through the API.
If set to true, the function will wait for the result to be generated and uploaded before returning the response. It allows you to get the result directly in the response. This property is only available through the API.

Idle

A restored and colorized vintage black-and-white photograph, removing scratches, dust, and tears. The image features enhanced clarity, natural skin tones, and realistic colors while preserving the original nostalgic atmosphere. The photo looks vivid and fresh, with balanced lighting and rich detail, as if carefully brought back to life from the past.

このリクエストには1回あたりで$0.025の費用がかかります。

$1でおよそ40回実行できます。

サンプルすべて表示

style of 80s cyberpunk, a car
A young girl, slightly hair, portrait, blockprint style
A restored and colorized vintage black-and-white photograph, removing scratches, dust, and tears. The image features enhanced clarity, natural skin tones, and realistic colors while preserving the original nostalgic atmosphere. The photo looks vivid and fresh, with balanced lighting and rich detail, as if carefully brought back to life from the past.
Turn this image into a sketch
Turn a man's tie yellow.
Turn the grass into a glacier.
style of 80s cyberpunk, a girl
v3ct0r style, simple flat vector art, isolated on white bg, girl
a man frstingln illustration
A young man wearing a hunters cap, portrait, blockprint style

README

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

FLUX Kontext Dev LoRA Ultra Fast is a low-latency image-to-image editing model that supports LoRA adapters directly in the request. Provide a source image plus a natural-language edit instruction, and optionally attach up to 3 LoRAs to steer style, identity consistency, or domain aesthetics—optimized for rapid iteration and production workflows.

Key capabilities

  • Ultra-fast instruction-based image editing from a single input image
  • LoRA-enabled inference: apply up to 3 LoRAs via input parameters
  • Strong preservation when you explicitly state what must remain unchanged
  • Great for iterative editing: quick refinements across multiple passes with minimal drift

Typical use cases

  • Fast retouching + consistent styling using a “house look” LoRA
  • Batch product edits (color variants, background swaps) with brand LoRAs
  • Text edits on packaging/signage while keeping typography/perspective consistent
  • Rapid A/B testing by switching LoRAs instead of rewriting prompts

Pricing

$0.025 per image.

Cost per run = num_images × $0.025 Example: num_images = 4 → $0.10

Inputs and outputs

Input:

  • One source image (upload or public URL)
  • One edit instruction (prompt)
  • Optional: up to 3 LoRA items

Output:

  • One or more edited images (controlled by num_images)

Parameters

Core:

  • prompt: Edit instruction describing what to change and what to preserve
  • image: Source image
  • width / height: Output resolution
  • num_inference_steps: More steps can improve fidelity but increases latency
  • guidance_scale: Higher values follow the prompt more strongly; too high may over-edit
  • num_images: Number of variations generated per run
  • seed: Fixed value for reproducibility; -1 for random
  • output_format: jpeg or png
  • enable_base64_output: Return BASE64 instead of a URL (API only)
  • enable_sync_mode: Wait for generation and return results directly (API only)

LoRA (up to 3 items):

  • loras: A list of LoRA entries (max 3)

    • path: owner/model-name or a direct .safetensors URL
    • scale: LoRA strength (start around 0.6–1.0 and adjust)

Prompting guide

Use a clear “preserve + edit + constraints” structure and let LoRAs control the look:

Template: Keep [what must stay]. Change [what to edit]. Ensure [constraints]. Apply LoRA style consistently without altering identity.

Example prompts

  • Keep the person’s face, hairstyle, and pose unchanged. Replace the background with a clean studio backdrop. Match lighting direction and shadow softness.
  • Keep the product shape and label layout unchanged. Replace only the label text with “WaveSpeedAI”, preserving font style, size, and perspective.
  • Remove the background clutter and keep the main subject sharp. Preserve natural skin texture while reducing shine.

Best practices

  • Start with one LoRA first; add a second/third only when needed.
  • If the output is over-stylized, reduce LoRA scale and/or guidance_scale.
  • For consistent batches, reuse the same LoRA set + scales and fix seed for comparisons.
  • Match width/height to the original aspect ratio to avoid distortions.