Text-to-Image
Diffusers
Safetensors
StableDiffusionPipeline
stable-diffusion
stable-diffusion-diffusers
diffusers-training
Instructions to use coolcat21/kanjimaker128 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use coolcat21/kanjimaker128 with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("coolcat21/kanjimaker128", 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
|
@@ -21,6 +21,7 @@ This pipeline was finetuned from **bguisard/stable-diffusion-nano-2-1** on the *
|
|
| 21 |
|
| 22 |
|
| 23 |

|
|
|
|
| 24 |
|
| 25 |
|
| 26 |
## Pipeline usage
|
|
|
|
| 21 |
|
| 22 |
|
| 23 |

|
| 24 |
+
Results for "fire nation" (left) and "Lebron" (right)
|
| 25 |
|
| 26 |
|
| 27 |
## Pipeline usage
|