Text-to-Image
Diffusers
Safetensors
StableDiffusionPipeline
stable-diffusion
stable-diffusion-diffusers
Civitai
chillpixel
Instructions to use Yntec/Ninja-Diffusers with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Yntec/Ninja-Diffusers 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/Ninja-Diffusers", 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
| license: creativeml-openrail-m | |
| library_name: diffusers | |
| pipeline_tag: text-to-image | |
| tags: | |
| - stable-diffusion | |
| - stable-diffusion-diffusers | |
| - diffusers | |
| - text-to-image | |
| - Civitai | |
| - chillpixel | |
| # Ninja | |
| Original page: | |
| https://civitai.com/models/78321/ninja | |
| Join the Discord: | |
| https://discord.gg/89Pu5ehUvE |