Instructions to use Lasorco/lametta with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Lasorco/lametta with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("Lasorco/lametta", 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
|
@@ -99,7 +99,8 @@ Steps: 20, Sampler: DPM++ 2M Karras, CFG scale: 7, Seed: 2269500953, Size: 768x5
|
|
| 99 |
|
| 100 |
</details>
|
| 101 |
<br>
|
| 102 |
-
|
|
|
|
| 103 |
|
| 104 |

|
| 105 |
**v1745** ,**v1721** , v1720 : v13、v15系列の改良型を目指したモデル
|
|
|
|
| 99 |
|
| 100 |
</details>
|
| 101 |
<br>
|
| 102 |
+
|
| 103 |
+
---
|
| 104 |
|
| 105 |

|
| 106 |
**v1745** ,**v1721** , v1720 : v13、v15系列の改良型を目指したモデル
|