Instructions to use aidealab/AIdeaLab-VideoJP with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use aidealab/AIdeaLab-VideoJP with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("aidealab/AIdeaLab-VideoJP", 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
|
@@ -17,6 +17,7 @@ tags:
|
|
| 17 |

|
| 18 |
|
| 19 |
AIdeaLabVideo JP is a text-to-video model learning from CC-BY, CC-0 like images.
|
|
|
|
| 20 |
This model is supported by [GENIAC](https://www.meti.go.jp/english/policy/mono_info_service/geniac/index.html) (NEDO, METI).
|
| 21 |
|
| 22 |
## Model Details
|
|
|
|
| 17 |

|
| 18 |
|
| 19 |
AIdeaLabVideo JP is a text-to-video model learning from CC-BY, CC-0 like images.
|
| 20 |
+
AIdeaLabVideo JP is made in Japan.
|
| 21 |
This model is supported by [GENIAC](https://www.meti.go.jp/english/policy/mono_info_service/geniac/index.html) (NEDO, METI).
|
| 22 |
|
| 23 |
## Model Details
|