Instructions to use TheBirdLegacy/OSD-Model with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use TheBirdLegacy/OSD-Model with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("TheBirdLegacy/OSD-Model", 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
|
@@ -2,11 +2,14 @@
|
|
| 2 |
license: creativeml-openrail-m
|
| 3 |
tags:
|
| 4 |
- text-to-image
|
|
|
|
| 5 |
datasets:
|
| 6 |
- BirdL/OSD-Dataset
|
| 7 |
---
|
| 8 |
|
| 9 |
-
This model was
|
|
|
|
|
|
|
| 10 |
The prompt prompt is as followed
|
| 11 |
Words + |Timestamp|
|
| 12 |
Eg. A dog |10-21T10:10|
|
|
|
|
| 2 |
license: creativeml-openrail-m
|
| 3 |
tags:
|
| 4 |
- text-to-image
|
| 5 |
+
- dreambooth-hackathon
|
| 6 |
datasets:
|
| 7 |
- BirdL/OSD-Dataset
|
| 8 |
---
|
| 9 |
|
| 10 |
+
This model was finetuned on the [OSD dataset](https://huggingface.co/datasets/BirdL/OSD-Dataset).
|
| 11 |
+
It uses Stable Diffusion V2.1-Base as a foundation model.
|
| 12 |
+
This is also entered into the Dreambooth Hackathon.
|
| 13 |
The prompt prompt is as followed
|
| 14 |
Words + |Timestamp|
|
| 15 |
Eg. A dog |10-21T10:10|
|