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HiDream 1-Click Installer with an amazing Gradio App for Windows, RunPod and Massed Compute - NF4 Quantized Version

1-Click to install and use HiDream with NF4 Quantization on Windows, RunPod and Massed Compute with pre-compiled wheels and model downlad

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Latest installer : HiDream_v3.zip

16 October 2025 Update

14 April 2025 Update

Windows Requirements

Massed Compute (Recommend Cloud) :

RunPod (Cloud):

HiDream 1-Click Installer with an amazing Gradio App for Windows, RunPod and Massed Compute - NF4 Quantized Version HiDream 1-Click Installer with an amazing Gradio App for Windows, RunPod and Massed Compute - NF4 Quantized Version HiDream 1-Click Installer with an amazing Gradio App for Windows, RunPod and Massed Compute - NF4 Quantized Version HiDream 1-Click Installer with an amazing Gradio App for Windows, RunPod and Massed Compute - NF4 Quantized Version HiDream 1-Click Installer with an amazing Gradio App for Windows, RunPod and Massed Compute - NF4 Quantized Version HiDream 1-Click Installer with an amazing Gradio App for Windows, RunPod and Massed Compute - NF4 Quantized Version

Comments

fixed with v3 sorry for this issue. delete venv folder and make a fresh install after overwriting older files with newer zip file

Furkan Gözükara

fixed with v3 sorry for this issue. delete venv folder and make a fresh install after overwriting older files with newer zip file

Furkan Gözükara

Edit this file and set set HF_HUB_ENABLE_HF_TRANSFER=0 if you get model download errors of HF_TRANSFER Hugging Face cache folders set to: E:\AI_Lab\HiDream_v2\HiDream-I1-nf4\models Skipping import of cpp extensions due to incompatible torch version 2.7.0+cu128 for torchao version 0.14.0 Please see GitHub issue #2919 for more info W1015 18:42:31.903212 24336 venv\Lib\site-packages\torch\distributed\elastic\multiprocessing\redirects.py:29] NOTE: Redirects are currently not supported in Windows or MacOs. Loading default model (fast)... ✅ Tokenizer loaded! (used 0.00 MB VRAM) CUDA extension not installed. CUDA extension not installed. I get two errors: Skipping import of cpp extensions due to incompatible torch version 2.7.0+cu128 for torchao version 0.14.0 Please see GitHub issue #2919 for more info And the most important error: CUDA extension not installed. CUDA extension not installed Help fix I have a 5070Ti as GPU

Loyd Keudem

not working on my 5090, when i run I get: WARNING:bitsandbytes.cextension:The installed version of bitsandbytes was compiled without GPU support. 8-bit optimizers and GPU quantization are unavailable. Traceback (most recent call last): File "c:\HiDream_v2\HiDream-I1-nf4\hdi1\models\attention_processor.py", line 6, in from flash_attn_interface import flash_attn_func ModuleNotFoundError: No module named 'flash_attn_interface' During handling of the above exception, another exception occurred: Traceback (most recent call last): File "C:\Python3_10_11\lib\runpy.py", line 187, in _run_module_as_main mod_name, mod_spec, code = _get_module_details(mod_name, _Error) File "C:\Python3_10_11\lib\runpy.py", line 110, in _get_module_details __import__(pkg_name) File "c:\HiDream_v2\HiDream-I1-nf4\hdi1\__init__.py", line 1, in from .models.transformers.transformer_hidream_image import HiDreamImageTransformer2DModel File "c:\HiDream_v2\HiDream-I1-nf4\hdi1\models\transformers\transformer_hidream_image.py", line 16, in from ..attention_processor import HiDreamAttnProcessor_flashattn File "c:\HiDream_v2\HiDream-I1-nf4\hdi1\models\attention_processor.py", line 9, in from flash_attn import flash_attn_func File "c:\HiDream_v2\HiDream-I1-nf4\venv\lib\site-packages\flash_attn\__init__.py", line 3, in from flash_attn.flash_attn_interface import ( File "c:\HiDream_v2\HiDream-I1-nf4\venv\lib\site-packages\flash_attn\flash_attn_interface.py", line 15, in import flash_attn_2_cuda as flash_attn_gpu ImportError: DLL load failed while importing flash_attn_2_cuda: The specified module could not be found. ----- during install I get: Looking in indexes: https://download.pytorch.org/whl/nightly/cu128 ERROR: Could not find a version that satisfies the requirement torch==2.7.0.dev20250311 (from versions: 2.7.0.dev20250310+cu128, 2.8.0.dev20250427+cu128, 2.8.0.dev20250428+cu128, 2.8.0.dev20250429+cu128, 2.8.0.dev20250430+cu128, 2.8.0.dev20250501+cu128, 2.8.0.dev20250502+cu128, 2.8.0.dev20250503+cu128, 2.8.0.dev20250504+cu128, 2.8.0.dev20250505+cu128, 2.8.0.dev20250506+cu128, 2.8.0.dev20250507+cu128, 2.8.0.dev20250508+cu128, 2.8.0.dev20250509+cu128, 2.8.0.dev20250510+cu128, 2.8.0.dev20250511+cu128, 2.8.0.dev20250512+cu128, 2.8.0.dev20250513+cu128, 2.8.0.dev20250514+cu128, 2.8.0.dev20250515+cu128, 2.8.0.dev20250516+cu128, 2.8.0.dev20250517+cu128, 2.8.0.dev20250518+cu128, 2.8.0.dev20250519+cu128, 2.8.0.dev20250520+cu128, 2.8.0.dev20250521+cu128, 2.8.0.dev20250522+cu128, 2.8.0.dev20250523+cu128, 2.8.0.dev20250524+cu128, 2.8.0.dev20250525+cu128, 2.8.0.dev20250526+cu128, 2.8.0.dev20250527+cu128, 2.8.0.dev20250528+cu128, 2.8.0.dev20250529+cu128, 2.8.0.dev20250530+cu128, 2.8.0.dev20250531+cu128, 2.8.0.dev20250601+cu128, 2.8.0.dev20250602+cu128, 2.8.0.dev20250603+cu128, 2.8.0.dev20250604+cu128, 2.8.0.dev20250605+cu128, 2.8.0.dev20250606+cu128, 2.8.0.dev20250607+cu128, 2.8.0.dev20250608+cu128, 2.8.0.dev20250609+cu128, 2.8.0.dev20250610+cu128, 2.8.0.dev20250611+cu128, 2.8.0.dev20250612+cu128, 2.8.0.dev20250613+cu128, 2.8.0.dev20250614+cu128, 2.8.0.dev20250615+cu128, 2.8.0.dev20250616+cu128, 2.8.0.dev20250617+cu128, 2.8.0.dev20250618+cu128, 2.8.0.dev20250619+cu128, 2.8.0.dev20250620+cu128, 2.8.0.dev20250621+cu128, 2.8.0.dev20250622+cu128, 2.8.0.dev20250623+cu128, 2.8.0.dev20250624+cu128, 2.8.0.dev20250625+cu128) ERROR: No matching distribution found for torch==2.7.0.dev20250311 Collecting flash-attn==2.7.4.post1 Downloading https://huggingface.co/MonsterMMORPG/SECourses_Premium_Flash_Attention/resolve/main/flash_attn-2.7.4.post1-cp310-cp310-win_amd64.whl (138.2 MB) ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 138.2/138.2 MB 12.0 MB/s eta 0:00:00 Requirement already satisfied: torch in c:\hidream_v2\hidream-i1-nf4\venv\lib\site-packages (from flash-attn==2.7.4.post1) (2.7.1) any clue?

Jan Zhor

i recommend SwarmUI for Hi-Dream : https://youtu.be/fTzlQ0tjxj0

Furkan Gözükara

I clicked on "update_windows" to update to a newer version. I first (after that update) tried with llama model Int4 and it generated an image. When I changed the Llama model to int8 (I think) I got this error: File "G:\HiDream-AI-image-generator-app\HiDream-I1-nf4\venv\lib\site-packages\transformers\modeling_utils.py", line 1100, in _get_resolved_checkpoint_files raise EnvironmentError( OSError: clowman/Llama-3.1-8B-Instruct-GPTQ-Int8 does not appear to have a file named pytorch_model.bin, model.safetensors, tf_model.h5, model.ckpt or flax_model.msgpack. Should I have downloaded a new .zip of hidream or should just running "windows_update.bat" have updating everything needed?

cool1

i would say you can ignore all warnings . they usually happens due to windows - linux mismatches usually. if working ignore 100%

Furkan Gözükara

Hello is it normal that in the terminal I receive this message? WARNING:auto_gptq.nn_modules.qlinear.qlinear_cuda:CUDA extension not installed. WARNING:auto_gptq.nn_modules.qlinear.qlinear_cuda_old:CUDA extension not installed.

Pupattolino 75

ye i plan to update tutorial for this perhaps SwarmUI or i will update this app

Furkan Gözükara

My friend has been getting some great results with HiDream and i2i in ComfyUI (Which I hate. XD). Can you add an i2i capability?

DanO..


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