Instructions to use SG161222/Realistic_Vision_V4.0_noVAE with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use SG161222/Realistic_Vision_V4.0_noVAE with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("SG161222/Realistic_Vision_V4.0_noVAE", 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:
- 24fc30bf6d5078174b632a3e52bf66c4dc954c475db0296eaf884c946c227488
- Size of remote file:
- 4.27 GB
- SHA256:
- 55f70d179d72327105d7647983370f1ab77573ac121786336ac8fa6349777622
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