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 Settings
- Draw Things
- DiffusionBee
What's the difference between "Realistic_Vision_V2.0-inpainting.safetensors" and "Realistic_Vision_V2.0.safetensors"
#1
by jovijovi - opened
Hi, nice model!
What's the difference between "Realistic_Vision_V2.0-inpainting.safetensors" and "Realistic_Vision_V2.0.safetensors" ?
thx :D
The inpainting model is specifically for use when inpainting. You can find that in the img2img tab if you are using Automatic 1111. I'd recommend you watch a YouTube tutorial on how to get the best results.
which config yaml it corresponds for? inpainting_v1 or inpainting_v2?