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", torch_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:
- 3c2fea54cb07cef05d18228dd09d676d6f94d0e2bae733f38cbb9dcbf98bb9c2
- Size of remote file:
- 492 MB
- SHA256:
- 34aaefd3858b93b6d72f946587e09cafb1da295a039d675c2c95c9a4a0fbcfa8
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