Juggernaut Flux LoRA

POST/api/v2/juggernaut-flux-lora

LoRA 40 credits per image

Juggernaut Flux with custom LoRA support

Request body

Prompt *prompt

Text description of the image to generate.

Negative Prompt negative_prompt

Things to avoid in the generated image.

Lora Url lora_url

Optional: URL of a LoRA `.safetensors` file. Only valid for LoRA-compatible models — see the model docs for `supports_lora`.

Lora Type lora_type

LoRA base model. Pair with `lora_url`. Defaults to 'flux-1-dev' when omitted.

Batch batch

Number of images to generate (1-4).

Init Image init_image

Optional: URL of an initial image. Required for image-to-image variants. For multi-image edit (`images` array), use the multi-image edit endpoint instead.

Aspect Ratio settings.aspect_ratio

Image / video aspect ratio.

Num Inference Steps settings.num_inference_steps

Number of denoising steps (model-dependent).

Webhook webhook

Workspace Id workspace_id

Request example

curl -X POST "https://influencerstudio.com/api/v2/juggernaut-flux-lora" \
  -H "Authorization: Bearer YOUR_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{}'

Output

Run the model to see results

Real outputs will stream into this panel as the request completes.