ReplicateText to imageComing soon

black-forest-labs/flux-schnell-lora

black-forest-labs/flux-schnell-lora is a text to image tool from Replicate that runs in the background and returns images. Coming soon: listed with its price, not yet open to runs.

This tool is listed but not yet available to run.

Priced by usage

Pricing

$0.026 per image. Billed on num_outputs, default 1.

Limits

Runs
In the background
Returns
image
Longest queue wait
3600s
Run deadline
1800s
Largest inline input
1024 KB
Largest input file
500 MB
Largest output
4768 MB
Outputs per run
16

Input

FieldKindDefaultDescription
prompt requiredtext—Prompt for generated image
seednumber (whole)—Random seed. Set for reproducible generation
go_fasttrue or falsetrueRun faster predictions with model optimized for speed (currently fp8 quantized); disable to run in original bf16. Note that outputs will not be deterministic when this is enabled, even if you set a seed.
lora_scalenumber
-1 to 3
1Determines how strongly the main LoRA should be applied. Sane results between 0 and 1 for base inference. For go_fast we apply a 1.5x multiplier to this value; we've generally seen good performance when scaling the base value by that amount. You may still need to experiment to find the best value for your particular lora.
megapixelsJSON1Approximate number of megapixels for generated image
num_outputsnumber (whole)
1 to 4
1Number of outputs to generate
aspect_ratioJSON1:1Aspect ratio for the generated image
lora_weightstext—Load LoRA weights. Supports Replicate models in the format <owner>/<username> or <owner>/<username>/<version>, HuggingFace URLs in the format huggingface.co/<owner>/<model-name>, CivitAI URLs in the format civitai.com/models/<id>[/<model-name>], or arbitrary .safetensors URLs from the Internet. For example, 'fofr/flux-pixar-cars'
output_formatJSONwebpFormat of the output images
output_qualitynumber (whole)
0 to 100
80Quality when saving the output images, from 0 to 100. 100 is best quality, 0 is lowest quality. Not relevant for .png outputs
num_inference_stepsnumber (whole)
1 to 4
4Number of denoising steps. 4 is recommended, and lower number of steps produce lower quality outputs, faster.

Same request in code

curl https://api.spiral.ai/v1/runs \
  -H "Authorization: Bearer $SPIRAL_API_KEY" \
  -H "Content-Type: application/json" \
  -H "Idempotency-Key: $(uuidgen)" \
  -d '{
    "provider": "replicate",
    "model": "black-forest-labs/flux-schnell-lora",
    "input": {
      "prompt": "<prompt>"
    }
  }'