Instructions to use SG161222/Realistic_Vision_V2.0 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use SG161222/Realistic_Vision_V2.0 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_V2.0", 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
"For version 2.0 it is recommended to use with VAE"
#15 opened over 2 years ago
by
Hans-Peter-Gustaf
Add Diffusers weights
#14 opened almost 3 years ago
by
Vijish
Adding `diffusers` weights of this model
#13 opened almost 3 years ago
by
hannahl
about the license
5
#12 opened almost 3 years ago
by
Youngonwyl
Adding `safetensors` variant of this model
1
#11 opened almost 3 years ago
by
banias
36 Stable Diffusion tutorials - Including realistic vision based tutorials as well
👍 1
#10 opened almost 3 years ago
by
MonsterMMORPG
Adding `safetensors` variant of this model
#9 opened almost 3 years ago
by
abdullahnust
Create josuea582
#7 opened about 3 years ago
by
bhermanos
about inpainting model
3
#6 opened about 3 years ago
by
lovejing0306
License or Terms of Use
1
#5 opened about 3 years ago
by
loveh
Adding `safetensors` variant of this model
#4 opened about 3 years ago
by
CoreMega
Is it possible to train with 768p images?
4
#3 opened about 3 years ago
by
Blakus
What's the difference between "Realistic_Vision_V2.0-inpainting.safetensors" and "Realistic_Vision_V2.0.safetensors"
2
#1 opened about 3 years ago
by
jovijovi