Instructions to use NeoPy/kana-arima with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use NeoPy/kana-arima with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("NeoPy/kana-arima", 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
_Noxty commited on
Update README.md
Browse files
README.md
CHANGED
|
@@ -3,4 +3,7 @@ pipeline_tag: text-to-image
|
|
| 3 |
base_model:
|
| 4 |
- John6666/mala-anime-mix-nsfw-pony-xl-v3-sdxl
|
| 5 |
library_name: diffusers
|
|
|
|
|
|
|
|
|
|
| 6 |
---
|
|
|
|
| 3 |
base_model:
|
| 4 |
- John6666/mala-anime-mix-nsfw-pony-xl-v3-sdxl
|
| 5 |
library_name: diffusers
|
| 6 |
+
license: mit
|
| 7 |
+
tags:
|
| 8 |
+
- safetensors
|
| 9 |
---
|