Skip to content
New issue

Have a question about this project? Sign up for a free GitHub account to open an issue and contact its maintainers and the community.

Sign up for GitHub

By clicking “Sign up for GitHub”, you agree to our terms of service and privacy statement. We’ll occasionally send you account related emails.

Already on GitHub? Sign in to your account

Add to README a command for export of diffusion models with hybrid quantization #1228

Merged
merged 2 commits into from
Nov 19, 2024
Merged

Add to README a command for export of diffusion models with hybrid quantization #1228

Changes from 1 commit
Commits
Show all changes
2 commits
Select commit Hold shift + click to select a range
709d243
Add to README a command for export of SD model with hybrid quantization
nikita-savelyevv Nov 19, 2024
d17059a
Update comment
nikita-savelyevv Nov 19, 2024
File filter

Filter by extension

Filter by extension
Conversations
Failed to load comments.
Loading
Jump to
Jump to file
Failed to load files.
Loading
Diff view
Diff view
3 changes: 3 additions & 0 deletions README.md
View file
Open in desktop
Original file line number Diff line number Diff line change
Expand Up @@ -163,6 +163,9 @@ For more examples check out our [LLM Inference Guide](https://docs.openvino.ai/2
```sh
#Download and convert to OpenVINO dreamlike-anime-1.0 model
optimum-cli export openvino --model dreamlike-art/dreamlike-anime-1.0 --task stable-diffusion --weight-format fp16 dreamlike_anime_1_0_ov/FP16

#Download, convert to OpenVINO and apply int8 hybrid quantization to dreamlike-anime-1.0 model
Copy link
Collaborator

Choose a reason for hiding this comment

The reason will be displayed to describe this comment to others. Learn more.

Maybe explicitly state in the comment that this is an alternative, e.g.:
Or use INT8 hybrid quantization to optimize and speed up the model or
Also you can use INT8 hybrid quantization to further optimize the model and reduce the inference latency, etc,

Copy link
Contributor Author

Choose a reason for hiding this comment

The reason will be displayed to describe this comment to others. Learn more.

Updated

optimum-cli export openvino --model dreamlike-art/dreamlike-anime-1.0 --task stable-diffusion --weight-format int8 --dataset conceptual_captions dreamlike_anime_1_0_ov/INT8
```

### Run generation using Text2Image API in Python
Expand Down
Loading