Instructions to use Disty0/sotediffusion-v2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Disty0/sotediffusion-v2 with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("Disty0/sotediffusion-v2", 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
|
@@ -82,7 +82,7 @@ Sampler: Default
|
|
| 82 |
Steps: 28
|
| 83 |
Refiner Steps: 14
|
| 84 |
|
| 85 |
-
CFG: 5.0
|
| 86 |
Secondary CFG: 1.0 to 1.5
|
| 87 |
|
| 88 |
Resolution: 1280x1280, 1024x1536, 1024x2048, 2048x1152
|
|
|
|
| 82 |
Steps: 28
|
| 83 |
Refiner Steps: 14
|
| 84 |
|
| 85 |
+
CFG: 5.0 to 6.0
|
| 86 |
Secondary CFG: 1.0 to 1.5
|
| 87 |
|
| 88 |
Resolution: 1280x1280, 1024x1536, 1024x2048, 2048x1152
|