LocalAI/backend/python
Ettore Di Giacinto f5638a6354
feat(diffusers): allow to override image gen options (#4807)
Use the options field in the model to override kwargs if needed.

This allows to specify from the model yaml config:

```yaml

options:
- foo:bar

```

And each option will be used directly when calling the diffusers
pipeline, e.g:

```python
pipe(
  foo="bar",
)
```

Signed-off-by: Ettore Di Giacinto <mudler@localai.io>
2025-02-11 10:16:32 +01:00
..
autogptq chore(deps): bump grpcio to 1.70.0 (#4682) 2025-01-24 10:18:22 +01:00
bark chore(deps): bump grpcio to 1.70.0 (#4682) 2025-01-24 10:18:22 +01:00
common chore(deps): bump grpcio to 1.70.0 (#4682) 2025-01-24 10:18:22 +01:00
coqui chore(deps): bump grpcio to 1.70.0 (#4682) 2025-01-24 10:18:22 +01:00
diffusers feat(diffusers): allow to override image gen options (#4807) 2025-02-11 10:16:32 +01:00
exllama2 chore(deps): bump grpcio to 1.70.0 (#4682) 2025-01-24 10:18:22 +01:00
faster-whisper chore(deps): bump grpcio to 1.70.0 (#4682) 2025-01-24 10:18:22 +01:00
kokoro chore(deps): bump grpcio to 1.70.0 (#4682) 2025-01-24 10:18:22 +01:00
rerankers chore(deps): bump grpcio to 1.70.0 (#4682) 2025-01-24 10:18:22 +01:00
transformers chore(deps): Bump sentence-transformers from 3.4.0 to 3.4.1 in /backend/python/transformers (#4748) 2025-02-04 08:56:51 +01:00
vllm chore(deps): bump grpcio to 1.70.0 (#4682) 2025-01-24 10:18:22 +01:00
README.md refactor: move backends into the backends directory (#1279) 2023-11-13 22:40:16 +01:00

Common commands about conda environment

Create a new empty conda environment

conda create --name <env-name> python=<your version> -y

conda create --name autogptq python=3.11 -y

To activate the environment

As of conda 4.4

conda activate autogptq

The conda version older than 4.4

source activate autogptq

Install the packages to your environment

Sometimes you need to install the packages from the conda-forge channel

By using conda

conda install <your-package-name>

conda install -c conda-forge <your package-name>

Or by using pip

pip install <your-package-name>