Instructions to use Hius/DreamFul-V2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Hius/DreamFul-V2 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/DreamFul-V2", 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:
- dfdd09fd132586d948cb855dba560a9ed421db31728f8a6bf1f6e66cbc480a49
- Size of remote file:
- 492 MB
- SHA256:
- 5390949de8d8b1d4bbbb1192de18768f5fcafc805cddeffcb9861cdaaedc0268
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