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
| Output | Price |
|---|
| Per image | $0.006 |
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.