mirror of
https://github.com/ml-explore/mlx-examples.git
synced 2025-09-01 12:49:50 +08:00
FLUX: update README.md
This commit is contained in:
@@ -28,6 +28,26 @@ You can install all of the above with the `requirements.txt` as follows:
|
||||
|
||||
pip install -r requirements.txt
|
||||
|
||||
|
||||
Usage
|
||||
---------
|
||||
|
||||
You can use the following command to generate an image, using `--output` to specify the storage location of the image, defaulting to `out.png`.
|
||||
|
||||
```shell
|
||||
python txt2image.py --model schnell \
|
||||
--n-images 1 \
|
||||
--image-size 256x512 \
|
||||
--verbose \
|
||||
'A photo of an astronaut riding a horse on Mars.'
|
||||
```
|
||||
|
||||
For more parameters, please use the `--help` command to view.
|
||||
|
||||
```shell
|
||||
python txt2image.py --help
|
||||
```
|
||||
|
||||
Inference
|
||||
---------
|
||||
|
||||
@@ -78,7 +98,11 @@ except for some additional logic to quantize and/or load trained adapters. One
|
||||
can use the script as follows:
|
||||
|
||||
```shell
|
||||
python txt2image.py --n-images 4 --n-rows 2 --image-size 256x512 'A photo of an astronaut riding a horse on Mars.'
|
||||
python txt2image.py \
|
||||
--n-images 4 \
|
||||
--n-rows 2 \
|
||||
--image-size 256x512 \
|
||||
'A photo of an astronaut riding a horse on Mars.'
|
||||
```
|
||||
|
||||
### Experimental Options
|
||||
@@ -160,8 +184,8 @@ The adapters are saved in `mlx_output` and can be used directly by the
|
||||
`txt2image.py` script. For instance,
|
||||
|
||||
```shell
|
||||
python txt2img.py --model dev --save-raw --image-size 512x512 --n-images 1 \
|
||||
--adapter mlx_output/mlx_output/0001200_adapters.safetensors \
|
||||
python txt2image.py --model dev --save-raw --image-size 512x512 --n-images 1 \
|
||||
--adapter mlx_output/0001200_adapters.safetensors \
|
||||
--fuse-adapter \
|
||||
--no-t5-padding \
|
||||
'A photo of an sks dog lying on the sand at a beach in Greece'
|
||||
|
Reference in New Issue
Block a user