How to hf text to image in Hugging Face

HF Text to Image in Hugging Face — start free

Inputs

The fields this action accepts.

Every field can be mapped from an upstream trigger, AI step, table row, or hard-coded literal.

Field	Type	Required	Description
Model ID model	string	Required	HF model id (any text-to-image)
Prompt prompt	string	Required	Prompt (required)
Negative Prompt negative_prompt	string	Optional	Negative Prompt
Width width	string	Optional	Width
Height height	string	Optional	Height

Sample request

{
  "model": "e.g. black-forest-labs/FLUX.1-schnell, stabilityai/stable-diffusion-3.5-large",
  "prompt": "{{trigger.prompt}}",
  "negative_prompt": "{{trigger.negative_prompt}}",
  "width": "{{trigger.width}}",
  "height": "{{trigger.height}}"
}

Returns

"<binary>"

Use these fields in downstream nodes for routing, logging, or error handling.

FAQ

Questions about HF Text to Image.

What does the HF Text to Image action do in Hugging Face?

Generates images from text using any HF-hosted image model (SDXL, SD3.5, Flux variants, community fine-tunes). For accessing niche or specific image models from the broad HF catalog.

What inputs does HF Text to Image require?

Required: Model ID, Prompt. Every input accepts a static value or a variable from any upstream node in your workflow.

Can I use dynamic inputs from earlier workflow nodes?

Yes. Any field on this action can pull values from upstream nodes, whether that's a form response, a trigger payload, an AI output, or a lookup result.

What happens if Hugging Face returns an error?

The workflow pauses on the failed node, the error message is captured in the run log, and you can retry the run with one click. Auto-retry policies are configurable per workflow with exponential backoff up to 5 attempts.

Does HF Text to Image support batch operations?

Yes. Run HF Text to Image inside a Loop node to process arrays. TinyCommand handles Hugging Face's rate limits automatically so you don't have to throttle manually.

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