Instructions to use krnl/RealisticVision_v60v51_HyperVAE with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use krnl/RealisticVision_v60v51_HyperVAE with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("krnl/RealisticVision_v60v51_HyperVAE", 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
Commit History
-
add safe tensors to text encoder
Verified signature0f34d79 -
add text_encoder
Verified signature41ffb4f -
upload unet and model index
Verified signature28f2605 -
Add vae
Verified signaturea63df0f -
first commit
Verified signature20390eb -
initial commit
Verified signature5d28d41