Instructions to use DaniloTrotta/TestDeleV2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use DaniloTrotta/TestDeleV2 with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("DaniloTrotta/TestDeleV2", 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:
- 7a4144333a6d41af842ba817743ec44e43572b4cf44e5a5ff4d5493efe7fa0a6
- Size of remote file:
- 335 MB
- SHA256:
- e966c4b92d8f548a0ca23c455628f8ed499a8ae34e0987ef28a5386115413e1b
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