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:
- 8349ed8292cdef1d95df7d6404ac40251b00d0312b24a9630eaec1c96140ff71
- Size of remote file:
- 2.84 MB
- SHA256:
- 3a34ed9e184a034279e6221a1281135378cf42e604284e702e5ff1622f5ed86f
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