Instructions to use eolecvk/sd-naruto-diffusers with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use eolecvk/sd-naruto-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("eolecvk/sd-naruto-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
- Draw Things
- DiffusionBee
Update README.md
Browse files
README.md
CHANGED
|
@@ -7,7 +7,7 @@ tags:
|
|
| 7 |
- stable-diffusion-diffusers
|
| 8 |
- text-to-image
|
| 9 |
datasets:
|
| 10 |
-
-
|
| 11 |
---
|
| 12 |
|
| 13 |
__Stable Diffusion fine tuned on Naruto by [Lambda Labs](https://lambdalabs.com/).__
|
|
|
|
| 7 |
- stable-diffusion-diffusers
|
| 8 |
- text-to-image
|
| 9 |
datasets:
|
| 10 |
+
- eolecvk/naruto-blip-captions
|
| 11 |
---
|
| 12 |
|
| 13 |
__Stable Diffusion fine tuned on Naruto by [Lambda Labs](https://lambdalabs.com/).__
|