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
Commit History
-
Upload README.md
a31fd7e -
Upload model_index.json
b64b15b -
Delete model_index.json
c81ef13 -
Delete safety_checker
d1e142d -
Adding `diffusers` weights of this model (#1)
- Adding `diffusers` weights of this model (17a48cc98f7eb598e8e594e889cba57f498dc514)6255484 -
file
23c0346 -
initial commit
452fc49