Instructions to use lsmpp/kontextrefiner with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use lsmpp/kontextrefiner with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("lsmpp/kontextrefiner", 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
HiDreamImage
HiDream-I1 by HiDream.ai
Make sure to check out the Schedulers guide to learn how to explore the tradeoff between scheduler speed and quality, and see the reuse components across pipelines section to learn how to efficiently load the same components into multiple pipelines.
Available models
The following models are available for the HiDreamImagePipeline pipeline:
| Model name | Description |
|---|---|
HiDream-ai/HiDream-I1-Full |
- |
HiDream-ai/HiDream-I1-Dev |
- |
HiDream-ai/HiDream-I1-Fast |
- |
HiDreamImagePipeline
[[autodoc]] HiDreamImagePipeline
- all
- call
HiDreamImagePipelineOutput
[[autodoc]] pipelines.hidream_image.pipeline_output.HiDreamImagePipelineOutput