HiDream AI

HiDream I1 Full

Name: HiDream I1 Full
Brand: HiDream AI
Price: 0.05 USD
Availability: InStock

AI Image Editing Model

Image

HiDream AI's 17B parameter text-to-image model using sparse diffusion transformer with mixture of experts, achieving state-of-the-art image generation quality with strong prompt following

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Supported Modes

Text to Image Image Edit

Active

Details

Model ID

hidream-i1-full

Creator

HiDream AI

Family

hidream

Ready to integrate?

Access hidream-i1-full via our unified API.

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Available at 1 provider

Starting from

$0.050 /image via fal.ai

Prices shown are in USD · Some prices estimated from per-megapixel or per-token pricing

Full pricing details

Providers & Pricing (2)

HiDream I1 Full is available from 2 providers, with per-image pricing starting at $0.05 through fal.ai.

fal.ai

Text to Image

fal/hidream-i1-full

Provider Model ID: fal-ai/hidream-i1-full

$0.050 /megapixel

View pricing details

fal.ai

Image Edit

fal/hidream-i1-full-edit

Provider Model ID: fal-ai/hidream-i1-full/image-to-image

$0.050 /megapixel

View pricing details

HiDream I1 Full API OpenAI-compatible

Integrate the HiDream I1 Full model into your workflow via Lumenfall’s OpenAI-compatible API to programmatically generate high-fidelity images and perform precise image editing using MiE-based diffusion.

Base URL

https://api.lumenfall.ai/openai/v1

Model

hidream-i1-full

Code Examples

Text to Image

/v1/images/generations

curl -X POST \

  https://api.lumenfall.ai/openai/v1/images/generations \

  -H "Authorization: Bearer $LUMENFALL_API_KEY" \

  -H "Content-Type: application/json" \

  -d '{

    "model": "hidream-i1-full",

    "prompt": "",

    "size": "1024x1024"

}'

# Response:

# { "created": 1234567890, "data": [{ "url": "https://...", "revised_prompt": "..." }] }

import OpenAI from 'openai';

const client = new OpenAI({

  apiKey: 'YOUR_API_KEY',

  baseURL: 'https://api.lumenfall.ai/openai/v1'

});

const response = await client.images.generate({

  model: 'hidream-i1-full',

  prompt: '',

  size: '1024x1024'

});

// { created: 1234567890, data: [{ url: "https://...", revised_prompt: "..." }] }

console.log(response.data[0].url);

from openai import OpenAI

client = OpenAI(

    api_key="YOUR_API_KEY",

    base_url="https://api.lumenfall.ai/openai/v1"

response = client.images.generate(

    model="hidream-i1-full",

    prompt="",

    size="1024x1024"

# { created: 1234567890, data: [{ url: "https://...", revised_prompt: "..." }] }

print(response.data[0].url)

Image Edit

/v1/images/edits

curl -X POST \

  https://api.lumenfall.ai/openai/v1/images/edits \

  -H "Authorization: Bearer $LUMENFALL_API_KEY" \

  -F "model=hidream-i1-full" \

  -F "[email protected]" \

  -F "prompt=Add a starry night sky to this image" \

  -F "size=1024x1024"

# Response:

# { "created": 1234567890, "data": [{ "url": "https://...", "revised_prompt": "..." }] }

import OpenAI from 'openai';

import fs from 'fs';

const client = new OpenAI({

  apiKey: 'YOUR_API_KEY',

  baseURL: 'https://api.lumenfall.ai/openai/v1'

});

const response = await client.images.edit({

  model: 'hidream-i1-full',

  image: fs.createReadStream('source.png'),

  prompt: 'Add a starry night sky to this image',

  size: '1024x1024'

});

// { created: 1234567890, data: [{ url: "https://...", revised_prompt: "..." }] }

console.log(response.data[0].url);

from openai import OpenAI

client = OpenAI(

    api_key="YOUR_API_KEY",

    base_url="https://api.lumenfall.ai/openai/v1"

response = client.images.edit(

    model="hidream-i1-full",

    image=open("source.png", "rb"),

    prompt="Add a starry night sky to this image",

    size="1024x1024"

# { created: 1234567890, data: [{ url: "https://...", revised_prompt: "..." }] }

print(response.data[0].url)

Parameter Reference

Required Supported Not available

Core Parameters

Parameter	Type	Description	Modes
`prompt`	string	Required. Text prompt for image generation	T2I Edit
`negative_prompt`	string	Negative prompt to guide generation away from undesired content	T2I Edit
`seed`	integer	Random seed for reproducibility	T2I Edit

Size & Layout

Parameter	Type	Description	Modes
`size`	string	Image dimensions as WxH pixels (e.g. "1024x1024") or aspect ratio (e.g. "16:9") WxH determines both shape and scale (aspect_ratio and resolution are ignored when size is provided). W:H format is equivalent to aspect_ratio.	T2I Edit
`aspect_ratio`	string	Aspect ratio of the output image (e.g. "16:9", "1:1") Controls shape independently of scale. Use with resolution to control both. If size is also provided, size takes precedence. Any ratio is accepted and mapped to the nearest supported value.	T2I Edit
`resolution`	string	Output resolution tier (e.g. "1K", "4K") Controls scale independently of shape. Higher tiers produce larger images and cost more. If size is also provided, size takes precedence for scale. Any tier is accepted and mapped to the nearest supported value.	T2I Edit

size

Exact pixel dimensions

"1920x1080"

aspect_ratio

Shape only, default scale

"16:9"

resolution

Scale tier, preserves shape

"1K"

Priority when combined

size › aspect_ratio + resolution › aspect_ratio › resolution

size is most specific and always wins. aspect_ratio and resolution control shape and scale independently.

How matching works

Shape matching – we pick the closest supported ratio. Ask for 7:1 on a model with 4:1 and 8:1, you get 8:1.

Scale matching – providers use different tier formats: K tiers (0.5K 1K 2K 4K) or megapixel tiers (0.25 1). If the exact tier isn't available, you get the nearest one.

Dimension clamping – if a model has pixel limits, we clamp dimensions to fit and keep the aspect ratio intact.

Media Inputs

Parameter	Type	Description	Modes
`image`	file	Required. Input image(s) to edit Supports PNG, JPEG, WebP.	T2I Edit

Output & Format

Parameter	Type	Description	Modes
`response_format`	string	How to return the image `url` `b64_json` Default: `"url"`	T2I Edit
`output_format`	string	Output image format `png` `jpeg` `gif` `webp` `avif` Gateway converts to requested format if provider doesn't support it natively.	T2I Edit
`output_compression`	integer	Compression level for lossy formats (JPEG, WebP, AVIF)	T2I Edit
`n`	integer	Number of images to generate Default: `1` Gateway generates multiple images in parallel even if provider only supports 1.	T2I Edit

Additional Parameters

Parameter	Type	Description	Modes
`cfg_scale`	number	Classifier-free guidance scale — higher values stick more closely to the prompt	T2I Edit
`strength`	number	How much to transform the input image: 0 keeps it unchanged, 1 fully regenerates from the prompt	T2I Edit
`enable_safety_checker` fal	boolean	If set to true, the safety checker will be enabled.	T2I Edit
`loras` fal	array	A list of LoRAs to apply to the model. Each LoRA specifies its path, scale, and optional weight name.	T2I Edit
`num_inference_steps` fal	integer	The number of inference steps to perform.	T2I Edit
`sync_mode` fal	boolean	If `True`, the media will be returned as a data URI and the output data won't be available in the request history.	T2I Edit

Parameter Normalization

How we handle parameters across different providers

Not every provider speaks the same language. When you send a parameter, we handle it in one of four ways depending on what the model supports:

Behavior	What happens	Example
`passthrough`	Sent as-is to the provider	style, quality
`renamed`	Same value, mapped to the field name the provider expects	prompt
`converted`	Transformed to the provider's native format	size
`emulated`	Works even if the provider has no concept of it	n, response_format

Parameters we don't recognize pass straight through to the upstream API, so provider-specific options still work.

Full API Reference Authentication, endpoints, and more

Gallery

View all 3 images

HiDream I1 Full FAQ

How much does HiDream I1 Full cost?

HiDream I1 Full starts at $0.05 per image through Lumenfall. Pricing varies by provider. Lumenfall does not add any markup to provider pricing.

How do I use HiDream I1 Full via API?

You can use HiDream I1 Full through Lumenfall's OpenAI-compatible API. Send requests to the unified endpoint with model ID "hidream-i1-full". Code examples are available in Python, JavaScript, and cURL.

Which providers offer HiDream I1 Full?

HiDream I1 Full is available through fal.ai on Lumenfall. Lumenfall automatically routes requests to the best available provider.

Overview

HiDream I1 Full is a high-capacity text-to-image and image-to-image model developed by HiDream AI. Utilizing a 17-billion parameter architecture, it is designed to bridge the gap between complex natural language prompts and high-fidelity visual outputs. The model is distinctive for its use of a Sparse Diffusion Transformer (DiT) combined with a Mixture-of-Experts (MoE) framework, allowing it to handle massive parameter counts with localized computational efficiency.

Strengths

Prompt Adherence: The model demonstrates high fidelity to long, descriptive, and nuanced text prompts, accurately placing specific objects and attributes within a scene as requested.
Compositional Detail: Due to the large parameter count, it excels at rendering complex textures and lighting conditions that smaller diffusion models often struggle to resolve.
MoE Efficiency: The Mixture-of-Experts architecture allows the model to activate only a subset of its 17B parameters per request, leading to sophisticated image generation qualities without the prohibitive latency typical of monolithic models of this scale.
Multimodal Input: It native supports image-to-image workflows, allowing users to provide visual references to guide the style, structure, or content of the final output.

Limitations

Computational Cost: At $0.05 per generation, the model is targeted towards high-end production use cases and may be less economical for high-volume, low-stakes applications compared to smaller distilled models.
Specialized Hardware Requirements: Due to the 17B parameter size, local deployment is challenging, making it primarily a cloud-driven model for most enterprise environments.
Training Cutoff: Like all diffusion models, it may lack specific knowledge of very recent events, niche brand logos, or specialized technical schematics unless explicitly provided in the prompt or through fine-tuning.

Technical Background

HiDream I1 Full is built on a Diffusion Transformer (DiT) backbone, a departure from the traditional U-Net architectures used in earlier generative models. It integrates a Sparse Mixture-of-Experts (MoE) layer, which scales the model’s capacity to 17 billion parameters while maintaining manageable inference speeds. This training approach emphasizes high-dimensional latent space representations to ensure that fine-grained textual details are mapped accurately to pixels.

Best For

Professional Concept Art: Generating high-resolution environment and character designs where specific lighting and material properties are critical.
Precision Marketing Assets: Creating brand-aligned imagery that requires strict adherence to complex creative briefs.
Visual Prototyping: Rapidly iterating on product designs using image-to-image guidance to maintain structural consistency.

HiDream I1 Full is available for immediate testing and deployment through Lumenfall’s unified API and interactive playground.

Try HiDream I1 Full in Playground

Generate images with custom prompts — no API key needed.

Open Playground