Instructions to use Hius/DreamTest with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Hius/DreamTest with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("Hius/DreamTest", 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
- Local Apps Settings
- Draw Things
- DiffusionBee
- Xet hash:
- 176a2fe8ebec40e272ae65d452cb9ff42a2b9a1a4a5c2285d79f9c44b62063bc
- Size of remote file:
- 3.44 GB
- SHA256:
- e8f4e9c1fcc23e444d49c0e39631123735fb49c6625dd23980cf619f11585dbd
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