Instructions to use Solovo/firsttrain with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Solovo/firsttrain with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("Solovo/firsttrain", 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:
- 50070196105d324fde3a2bf9f1ded737c963af9b800c851c3fb5e4bd098921a7
- Size of remote file:
- 246 MB
- SHA256:
- d7185134d961379b0ce5aa3225d9eae80e0f48c4ae40640a3528973bc3d08096
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