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

- Xet hash:
- 47ee4d7555c6c508c18b60e89919298d4e6615bdf28dd56378b2aa73c71ee416
- Size of remote file:
- 5.54 MB
- SHA256:
- f12b57ab352811f259134a75aec3befb38ec956684474184d5f3b1aac2959184
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