Instructions to use DreamyFrog/ntrdttt with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use DreamyFrog/ntrdttt with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("DreamyFrog/ntrdttt", 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:
- d269b5628f731311f49db9470d204437af30a67da201f88a8478898edee52cb4
- Size of remote file:
- 2.58 GB
- SHA256:
- 2493d7e5bbedb73150ec73bf39f764f754100ac7fa2d73933c7f28a934b51b29
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