Instructions to use TheLastBen/rick-roll-style with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use TheLastBen/rick-roll-style with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("TheLastBen/rick-roll-style", 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
Rick Roll Style V2.1
V2.1-768 Model by TheLastBen
This model is trained on 130 images, 1200 steps UNet and 400 steps text_encoder.
Prompt example :
(anthropomorphic) chicken rckrll, closeup
Negative : painting, fake, drawing
768x768
Each 5 steps can make a big output difference with the same seed.
You can use the images below to load the full settings in A1111
A1111 Colab :fast-stable-diffusion-A1111
Sample pictures of this concept:
- Downloads last month
- 53
.png)
.png)
.png)
.png)
.png)
.png)
.png)
.png)
.png)
.png)
.png)
.png)
.png)
.png)
.png)
.png)
.png)
.png)
.png)
.png)
.png)
.png)