Text-to-Image
Diffusers
Safetensors
StableDiffusionPipeline
Anime
Cute
Animals
McSionnaigh
stable-diffusion
stable-diffusion-diffusers
Instructions to use Yntec/nuipenimix2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Yntec/nuipenimix2 with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("Yntec/nuipenimix2", 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
Commit History
-
Update README.md
0f04883 -
Create README.md
d12e15d -
Upload model_index.json
4bc58b6 -
Delete model_index.json
c3774fc -
Delete safety_checker
b68060b -
Adding `diffusers` weights of this model (#1)
- Adding `diffusers` weights of this model (2e863b8bedbec5b0d13f7de5240bddd0024c7483)aac3a28 -
file
3e19451 -
initial commit
8370400