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
- Draw Things
- DiffusionBee
- Xet hash:
- f812148922d427449c7dc13898f8da7a2f91fd859d9585c917687a2b0a1b7d5b
- Size of remote file:
- 246 MB
- SHA256:
- f4fd8b906e8396383e3ab5fac1b2924aaab245c3a67f78589684f94d4340af3b
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