Instructions to use SG161222/Realistic_Vision_V1.4 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use SG161222/Realistic_Vision_V1.4 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_V1.4", 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
How can you train the inpainting model ?
#1
by juncfang - opened
Thanks for your nice work! I am a noob at stable diffusion. Could you tell me which code can train an inpainting model as your realistic1.4-inpainting? I can't find some suitable code from diffusers. Again, thanks for your nice work!!
I find that v1.3 does a much better inpainting than v1.4.