Instructions to use nebulette/moss-spectrum-diffusers with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use nebulette/moss-spectrum-diffusers with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("nebulette/moss-spectrum-diffusers", 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
Update README.md
Browse files
README.md
CHANGED
|
@@ -10,6 +10,6 @@ A naive implementation of the Spectrum, a training-free forecaster in the diffus
|
|
| 10 |
|
| 11 |
It was released under a more permissive licence than the [Comfy variant](https://github.com/Rkkss/ComfyUI-Spectrum-MOSS).
|
| 12 |
|
| 13 |
-
On the left is the Spectrum (15 seconds)
|
| 14 |
|
| 15 |

|
|
|
|
| 10 |
|
| 11 |
It was released under a more permissive licence than the [Comfy variant](https://github.com/Rkkss/ComfyUI-Spectrum-MOSS).
|
| 12 |
|
| 13 |
+
On the left is the Spectrum (15 seconds) vs the vanilla MOSS (40 seconds) on a low-end computer.
|
| 14 |
|
| 15 |

|