Instructions to use StableDiffusionVN/SDVN_Flux_2k_Realistic with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use StableDiffusionVN/SDVN_Flux_2k_Realistic with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("StableDiffusionVN/SDVN_Flux_2k_Realistic", 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:
- 1d582953f74dcd5a5cc103480cd9485711b6b6062b728b964f7f4c0d21603c64
- Size of remote file:
- 3.69 MB
- SHA256:
- 6359cf849d5677114186d92af3f2889cd4b3e92910874c68ef0f997b4dd6e0ea
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.