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
Negative prompts
1
#10 opened over 2 years ago
by
J450NP13
Add Diffusers weights
#9 opened almost 3 years ago
by
Pashy
How to set optional parameters? How to set the size of an image?
👍 1
1
#8 opened almost 3 years ago
by
blansj
34 Stable Diffusion tutorials - Including realistic vision based tutorials as well
#7 opened almost 3 years ago
by
MonsterMMORPG
What is the difference between this and 2.0?
👍 4
#6 opened almost 3 years ago
by
boluosea
Model Training
#5 opened about 3 years ago
by
Elio91
Rename README.md to 1111.ipynb
#4 opened about 3 years ago
by
DxRaz
Error Runtimeerror: expected all tensors to be on the same device
#2 opened about 3 years ago
by
olivierchen1015
How can you train the inpainting model ?
1
#1 opened about 3 years ago
by
juncfang