Instructions to use stalkeryga/f222 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use stalkeryga/f222 with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("stalkeryga/f222", 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:
- a5d6279e83cc6911aa5a4b9b28dec83b10aef946f02c16450c92bf9c17fcc6ee
- Size of remote file:
- 335 MB
- SHA256:
- 5d7c46e8d85a77032de60109b1c11f549c16d56af053f7a9d7ee5455cc2f15af
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