Instructions to use Nikitarabine/G with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Nikitarabine/G with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("Nikitarabine/G", 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
Commit ·
8031940
1
Parent(s): c0c7a11
Update README.md
Browse files
README.md
CHANGED
|
@@ -1,3 +1,11 @@
|
|
| 1 |
---
|
| 2 |
license: openrail
|
| 3 |
-
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
---
|
| 2 |
license: openrail
|
| 3 |
+
datasets:
|
| 4 |
+
- fka/awesome-chatgpt-prompts
|
| 5 |
+
language:
|
| 6 |
+
- aa
|
| 7 |
+
metrics:
|
| 8 |
+
- code_eval
|
| 9 |
+
library_name: diffusers
|
| 10 |
+
pipeline_tag: text-to-image
|
| 11 |
+
---
|