Instructions to use Fictiverse/Stable_Diffusion_FluidArt_Model with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Fictiverse/Stable_Diffusion_FluidArt_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_FluidArt_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:
- 8caa1bf9616bfe96215b2f0c830984bb136d8b9df5413fa0ce6964c703b41f91
- Size of remote file:
- 492 MB
- SHA256:
- a916447ededb5c4dc4a6564b004cd9d2ad641041051254064979664a3456f5bb
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.