Image-Text-to-Image
Diffusers
Safetensors
qwen3_vl
comfyui
text-to-image
image-editing
fp8
quantized
distilled
Instructions to use drbaph/HiDream-O1-Image-Dev-FP8 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use drbaph/HiDream-O1-Image-Dev-FP8 with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("drbaph/HiDream-O1-Image-Dev-FP8", dtype=torch.bfloat16, device_map="cuda") prompt = "Astronaut in a jungle, cold color palette, muted colors, detailed, 8k" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
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This is the **FP8 mixed-precision** quantization of [HiDream-ai/HiDream-O1-Image-Dev](https://huggingface.co/HiDream-ai/HiDream-O1-Image-Dev) — the **distilled** variant of HiDream-O1-Image — for use with **ComfyUI**. This is the most accessible variant: only **~10 GB VRAM** and just **28 steps**, making it the fastest way to run HiDream O1 locally.
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This is the **FP8 mixed-precision** quantization of [HiDream-ai/HiDream-O1-Image-Dev](https://huggingface.co/HiDream-ai/HiDream-O1-Image-Dev) — the **distilled** variant of HiDream-O1-Image — for use with **ComfyUI**. This is the most accessible variant: only **~10 GB VRAM** and just **28 steps**, making it the fastest way to run HiDream O1 locally.
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> **Custom ComfyUI Node:** [Saganaki22/HiDream_O1-ComfyUI](https://github.com/Saganaki22/HiDream_O1-ComfyUI)
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