Text-to-Image
Diffusers
StableDiffusionPipeline
stable-diffusion
sygil-diffusion
sygil-devs
finetune
stable-diffusion-1.5
Instructions to use Sygil/Sygil-Diffusion with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Sygil/Sygil-Diffusion with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("Sygil/Sygil-Diffusion", dtype=torch.bfloat16, device_map="cuda") prompt = "environment art, realistic" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
Commit ·
257fe1e
1
Parent(s): 0604b03
Update README.md
Browse files
README.md
CHANGED
|
@@ -47,6 +47,7 @@ pip install diffusers transformers accelerate scipy safetensors
|
|
| 47 |
Running the pipeline (if you don't swap the scheduler it will run with the default DDIM, in this example we are swapping it to DPMSolverMultistepScheduler):
|
| 48 |
|
| 49 |
```python
|
|
|
|
| 50 |
from diffusers import StableDiffusionPipeline, DPMSolverMultistepScheduler
|
| 51 |
|
| 52 |
model_id = "Sygil/Sygil-Diffusion"
|
|
|
|
| 47 |
Running the pipeline (if you don't swap the scheduler it will run with the default DDIM, in this example we are swapping it to DPMSolverMultistepScheduler):
|
| 48 |
|
| 49 |
```python
|
| 50 |
+
import torch
|
| 51 |
from diffusers import StableDiffusionPipeline, DPMSolverMultistepScheduler
|
| 52 |
|
| 53 |
model_id = "Sygil/Sygil-Diffusion"
|