Instructions to use SG161222/Realistic_Vision_V5.1_noVAE with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use SG161222/Realistic_Vision_V5.1_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_V5.1_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
📋 Documentation Enhancement Suggestion
#18 opened 3 months ago
by
CroviaTrust
Add metadata, link to paper and code
#16 opened about 1 year ago
by
nielsr
Best parameters for fine-tuning this model?
#15 opened almost 2 years ago
by
HG0001
how many parameters is the model using and what are those parameters any link?
#14 opened almost 2 years ago
by
HG0001
Update ReadMe - Add 'not-for-all-audience' tag
#13 opened about 2 years ago
by
no-mad
🚩 Report: Legal issue(s)
#12 opened about 2 years ago
by
MyRandomDalle288
Inpaint with controlnet?
1
#11 opened over 2 years ago
by
rb-synth
Not sure why inferencing was so slow
#10 opened over 2 years ago
by
vionwinnie
Adding `diffusers` weights of this model
#8 opened over 2 years ago
by
paintballmjm
comerical use of the generating images by this model
1
#6 opened over 2 years ago
by
Youngonwyl
Realistic model configuration
#5 opened almost 3 years ago
by
Negev900
Add Diffusers weights
#3 opened almost 3 years ago
by
Vijish
Adding `diffusers` weights of this model
#2 opened almost 3 years ago
by
birdbong
SG we need you
❤️👍 1
17
#1 opened almost 3 years ago
by
Ardeact