Instructions to use Gourieff/protogen_v2.2_reconverted with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Gourieff/protogen_v2.2_reconverted with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("Gourieff/protogen_v2.2_reconverted", 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:
- 096f04aa6755c2dcb381595b738d4b3b723806a7879bb03961c59e40ed94d7a8
- Size of remote file:
- 335 MB
- SHA256:
- 6190357502d7d5df3944007c1d1011b2b509d7317f55d4e66efd844771012a7d
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