Instructions to use tuwonga/takeON with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use tuwonga/takeON with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("tuwonga/takeON", 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
Update README.md
Browse files
README.md
CHANGED
|
@@ -5,7 +5,7 @@ tags:
|
|
| 5 |
- stable-diffusion
|
| 6 |
- text-to-image
|
| 7 |
---
|
| 8 |
-
###
|
| 9 |
This is a fine-tuned Stable Diffusion model (based on v1.5) trained on screenshots from the music video **Take on me** from A-HA band. Use the token **_takeON_** in your prompts to use the style.
|
| 10 |
|
| 11 |
_Download the ckpt file from "files and versions" tab into the stable diffusion models folder of your web-ui of choice._
|
|
|
|
| 5 |
- stable-diffusion
|
| 6 |
- text-to-image
|
| 7 |
---
|
| 8 |
+
### takeON
|
| 9 |
This is a fine-tuned Stable Diffusion model (based on v1.5) trained on screenshots from the music video **Take on me** from A-HA band. Use the token **_takeON_** in your prompts to use the style.
|
| 10 |
|
| 11 |
_Download the ckpt file from "files and versions" tab into the stable diffusion models folder of your web-ui of choice._
|