HiDream I1

HiDream is a large image generation foundation model with 17B parameters.

HiDream-I1 consists of 3 variants:
- Full
- Dev
- Fast

The main difference between variants is recommended step count:
- full=50, dev=28, fast=16

HiDream-I1 is compatible with:
- FlowMatching Samplers
- Remote VAE feature
- TAE Live-preview feature

Important

Due to its size (over 25B params in 58GB), offloading and on-the-fly quantization are generally required.
Running HiDream on GPUs with under 16GB VRAM is possible with BnB-NF4 or Quanto-Int4 quantization and default Balanced offload settings.
Note that you must pick quantization methods that are compatible with your GPU and platform

Note

Set an appropriate offloading mode before loading the model to avoid out-of-memory errors.
For more information see Offloading Wiki

Note

Check compatibility of different quantization methods with your platform and GPU.
For more information see Quantization Wiki

Important

Use reference models
Simply select it from Networks -> Models -> Reference
and the model will be auto-downloaded on first use.

Location of downloaded model is: - hugginface folder is used for individual components: transformers, T5 text encoder, and llama LLM - diffusers folder is used for the main model Exact location of both folders is shown in Settings -> System Paths.

Warning

Manually downloaded models in either safetensors or gguf formats are currently not supported.

Important

Llama-3.1-8b-instruct LLM model used by HiDream is a gated model!
You need to request access from the authors to use it.
See Gated Wiki for more information

Text Encoders

HiDream uses 4 text encoders: clip-l, clip-g, t5-1.1-xxl, llama-3.1-8b-instruct for a total of 8.3B parameters.

Custom llama model can be set in: Settings -> Model options -> HiDream

Note

SD.Next implementation differs from the reference by increasing default max token length from 128 to 256.
Max token length can be further overridden using environment variable HIDREAM_MAX_SEQUENCE_LENGTH.