Instructions to use AiModeler/DreamFul with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use AiModeler/DreamFul with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("AiModeler/DreamFul", 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:
- da8595cf96da0e3dd3bf307c545938ed3336866ccb5d63edb7a08823ed882ab9
- Size of remote file:
- 492 MB
- SHA256:
- 07501768eb4b83fd6febd35821fa8a7d36b505c786a1884163c91cf00efdc8a7
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