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
- Draw Things
- DiffusionBee
- Xet hash:
- 2999f02319198bf414cd7f0c1917dfdc83d6607679d740f15273aa5a68e7f30a
- Size of remote file:
- 335 MB
- SHA256:
- c76830140ea270747df8f8aae34078cd925aef6dc5b3d24643a64ef834c86c0a
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