Instructions to use JackIsNotInTheBox/Generate_Audio_for_Video_Checkpoints with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use JackIsNotInTheBox/Generate_Audio_for_Video_Checkpoints with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("JackIsNotInTheBox/Generate_Audio_for_Video_Checkpoints", 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
Mirror nv-modelcard++/bias.md from nvidia/bigvgan_v2_44khz_128band_512x@95a9d1dc
Browse files
encoders/nvidia/bigvgan_v2_44khz_128band_512x/nv-modelcard++/bias.md
ADDED
|
@@ -0,0 +1,4 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
| Field | Response |
|
| 2 |
+
| :--------------------------------------------------------------------------------------------------------- | :--------------------------------------------------- |
|
| 3 |
+
| Participation considerations from adversely impacted groups protected classes in model design and testing: | None |
|
| 4 |
+
| Measures taken to mitigate against unwanted bias: | No measures taken to mitigate against unwanted bias. |
|