Text-to-Image
Diffusers
Safetensors
English
StableDiffusionPipeline
anime
general
hakurei
stable-diffusion
stable-diffusion-diffusers
Instructions to use Yntec/WaifuDiffusion with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Yntec/WaifuDiffusion with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("Yntec/WaifuDiffusion", 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
|
@@ -19,6 +19,8 @@ inference: true
|
|
| 19 |
|
| 20 |
It's a model hard to prompt that requires a whole circus and the clowns of negative prompts to give good outputs, specially at these resolutions, but it still produces unique images.
|
| 21 |
|
|
|
|
|
|
|
| 22 |

|
| 23 |
|
| 24 |
(Click for larger)
|
|
|
|
| 19 |
|
| 20 |
It's a model hard to prompt that requires a whole circus and the clowns of negative prompts to give good outputs, specially at these resolutions, but it still produces unique images.
|
| 21 |
|
| 22 |
+
Samples and prompts:
|
| 23 |
+
|
| 24 |

|
| 25 |
|
| 26 |
(Click for larger)
|