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
|
@@ -107,7 +107,7 @@ Negative prompt: bad anatomy, (worst quality, low quality:1.4),
|
|
| 107 |
Steps: 20, Sampler: DPM++ 2M Karras, CFG scale: 7, Seed: 1722069721, Size: 768x512, Model hash: 34065c40e3, Model: lametta_v1720_fp16, Version: v1.5.1
|
| 108 |
```
|
| 109 |
</details>
|
| 110 |
-
<br>
|
| 111 |
|
| 112 |
---
|
| 113 |
|
|
@@ -231,7 +231,7 @@ Negative prompt: (worst quality, low quality:1.4),
|
|
| 231 |
Steps: 20, Sampler: DPM++ 2M Karras, CFG scale: 7, Seed: 4052602564, Size: 768x512, Model hash: 2f57da9663, Model: lametta_v1601_fp16, Clip skip: 2, Version: v1.4.1
|
| 232 |
```
|
| 233 |
</details>
|
| 234 |
-
<br>
|
| 235 |
|
| 236 |
---
|
| 237 |
|
|
|
|
| 107 |
Steps: 20, Sampler: DPM++ 2M Karras, CFG scale: 7, Seed: 1722069721, Size: 768x512, Model hash: 34065c40e3, Model: lametta_v1720_fp16, Version: v1.5.1
|
| 108 |
```
|
| 109 |
</details>
|
| 110 |
+
<br>
|
| 111 |
|
| 112 |
---
|
| 113 |
|
|
|
|
| 231 |
Steps: 20, Sampler: DPM++ 2M Karras, CFG scale: 7, Seed: 4052602564, Size: 768x512, Model hash: 2f57da9663, Model: lametta_v1601_fp16, Clip skip: 2, Version: v1.4.1
|
| 232 |
```
|
| 233 |
</details>
|
| 234 |
+
<br>
|
| 235 |
|
| 236 |
---
|
| 237 |
|