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hidream / i1-full

Generate high-quality images from a text prompt with strong prompt adherence and detailed, coherent results.

0.05 per megapixel of image
OpenAPI

Model Input

Input

The prompt to generate an image from.

The size of the generated image.

Min: 1 - Max: 4

The number of images to generate. Each generated image is billed.

The format of the generated image.

Additional Settings

Customize your input with more control.

Describe what you do NOT want to appear in the image.

Min: 1 - Max: 50

The number of inference steps to perform.

The same seed and the same prompt given to the same version of the model will output the same image every time.

Min: 0 - Max: 20

The CFG scale. Higher values increase adherence to the prompt.

Safety checker can only be disabled on API call

Optional list of LoRA weights to apply.

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Model Output

Output

Generated image output
Generated in 12.08 seconds
Logs (1 lines)

Model Example Requests

Examples

Example output 1Example output 2Example output 3

Model Details

Model Details

HiDream I1 Full turns a text prompt into a high-quality image. It is the full-quality variant of HiDream.ai's 17-billion-parameter open image foundation model, tuned for strong prompt adherence and detailed, coherent results, and it runs at the model's maximum step count for the best fidelity. Give it a descriptive prompt, pick a size, and it returns one to four finished images. You can also attach one or more LoRAs to steer style.

## Best for - Generating photorealistic images and detailed illustrations from a text description - Concept art, product renders, and stylized scenes where fidelity matters more than speed - Marketing and social visuals produced from a short written brief - Applying a custom LoRA to push a consistent style across a batch - Producing several variations at once with num_images (1-4)

## Choose another model when - You need to edit or restyle an existing photo rather than generate from scratch - use an image-editing model - You want the fastest, cheapest draft and can trade some quality - use a speed-optimized text-to-image model - You need reliably legible in-image text for logos or signage - use a model tuned for typography - You need video - use a text-to-video or image-to-video model

## Tips - Write specific, descriptive prompts; use negative_prompt to exclude unwanted elements - image_size accepts a preset (square_hd, portrait_16_9, landscape_4_3, ...) or a custom width/height object; billing is per output megapixel, so larger images cost more - Each image in num_images is billed separately

## Advanced Configuration - loras: attach one or more LoRA weights to bias style or subject. Each entry takes a path (a URL or HuggingFace path to the weights) and an optional scale (0-4, default 1); configured via the API.