Instructions to use femboysLover/tf2sim_diffusers with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use femboysLover/tf2sim_diffusers with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("femboysLover/tf2sim_diffusers", 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
- Xet hash:
- c4fa757d406c207e67aab994bac5bf5d17b8f1635928b3a04804114d68999aaa
- Size of remote file:
- 80 MB
- SHA256:
- 65bb24c80b03feed40155866e51bf572c1acd73af49adb31c47b8e556da4833e
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