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
- Draw Things
- DiffusionBee
- Xet hash:
- cbefe30eadd8ac8d28a1a5e4c2eac21e05b9c1728db57c5c7351912c65d14321
- Size of remote file:
- 2.13 GB
- SHA256:
- b2b971f639658b1ff1146e83a5947b88d0abb05b56431f9be0ad0bf43bc2a275
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