Instructions to use Fictiverse/Stable_Diffusion_Microscopic_model with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Fictiverse/Stable_Diffusion_Microscopic_model with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("Fictiverse/Stable_Diffusion_Microscopic_model", 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:
- 2289d03a074ad83f7eb85962248e8530076290e68af223c64f5b7bc40af08b73
- Size of remote file:
- 492 MB
- SHA256:
- 40016080007a15f1f8bfa82119405be87109dc6c9a1f30c9949b0953516fb919
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.