From 8239c8dba4f91d2b5630345ea20e44f9c7acd0ba Mon Sep 17 00:00:00 2001 From: Brett Kuprel Date: Tue, 5 Jul 2022 07:32:52 -0400 Subject: [PATCH] update readme --- README.md | 66 ++++++++++++------------------ examples/dalle_walle_animated.gif | Bin 0 -> 1584667 bytes 2 files changed, 27 insertions(+), 39 deletions(-) create mode 100644 examples/dalle_walle_animated.gif diff --git a/README.md b/README.md index 9bc4b10..08ea63e 100644 --- a/README.md +++ b/README.md @@ -29,53 +29,46 @@ Load the model parameters once and reuse the model to generate multiple images. ```python from min_dalle import MinDalle -model = MinDalle(is_mega=True, models_root='./pretrained') +model = MinDalle( + is_mega=True, + is_reusable=True, + models_root='./pretrained' +) ``` The required models will be downloaded to `models_root` if they are not already there. Once everything has finished initializing, call `generate_image` with some text as many times as you want. ```python -text = 'Dali painting of WALL·E' -image = model.generate_image(text, grid_size=4) +image = model.generate_image( + 'Dali painting of WALL·E', + seed=-1, + grid_size=4, + log2_supercondition_factor=3 +) display(image) ``` min-dalle -```python -text = 'Rusty Iron Man suit found abandoned in the woods being reclaimed by nature' -image = model.generate_image(text, grid_size=3) -display(image) -``` -min-dalle +Use a positive `seed` for reproducible results. Higher values for `log2_supercondition_factor` result in better agreement with the text but a narrower variety of generated images. + +If the model is being used interactively (e.g. in a notebook) `generate_image_stream` can be used to generate a stream of images as it the model is decoding. The detokenizer adds a slight delay for each intermediate image. ```python -text = 'court sketch of godzilla on trial' -image = model.generate_image(text, grid_size=3) -display(image) -``` -min-dalle +image_stream = model.generate_image_stream( + text='Dali painting of WALL·E', + seed=-1, + grid_size=3, + log2_mid_count=3, + log2_supercondition_factor=3 +) -```python -text = 'a funeral at Whole Foods' -image = model.generate_image(text, grid_size=3) -display(image) +is_first = True +for image in image_stream: + display_image = display if is_first else update_display + display_image(image, display_id=1) + is_first = False ``` -min-dalle - -```python -text = 'Jesus turning water into wine on Americas Got Talent' -image = model.generate_image(text, grid_size=3) -display(image) -``` -min-dalle - -```python -text = 'cctv footage of Yoda robbing a liquor store' -image = model.generate_image(text, grid_size=3) -display(image) -``` -min-dalle - +min-dalle ### Command Line @@ -85,8 +78,3 @@ Use `image_from_text.py` to generate images from the command line. $ python image_from_text.py --text='artificial intelligence' --no-mega ``` min-dalle - -```bash -$ python image_from_text.py --text='trail cam footage of gollum eating watermelon' --mega --grid-size=3 -``` -min-dalle diff --git a/examples/dalle_walle_animated.gif b/examples/dalle_walle_animated.gif new file mode 100644 index 0000000000000000000000000000000000000000..abb15798956b5bb7d4a76b707ef490aa27ca2d26 GIT binary patch literal 1584667 zcmV)3K+C^JNk%w1VeSI%0`~v_0RR9B1OpfY0S6Za7a9cz85h&B z2`3j6B@+}X6B{ZN87CMCH5U~$79=DADDKrZO z8z&VWBLW>V2qq~QCnyLtC>S*+1t>TcEHoN4HUu^`CMzZ=HYheYCnh&FGBhqG8zn^o z089Y@L<;~+3jjw93{(IBTmS%63jkXS08|bMLlXc?697jW0$3IRP8$?t003(N0AvdQ zYzqK$0|0pj0CNifd3KP0Bj=wX)6JABLH_P0BAS@bvOcQH5NrYB~mpgXgMY}LmLuF zGB`yjI7T-uOf(`{E?PwhNJSV~Mi^2^5Nt#NXh;WhLjZS51A0^jXGs@zNfvHW5=KTS zSVtvANj6wkH%(JCXj?aKQz=ztI%Z}%cVszpXfAzj76dFoCO$y~TUHfWOfFPL8D?1x zWK}0;SvG1{HE2#5Yi1O0YA0)ED0OQxc5Vz@Voz5^QEpLYYDQ*xSay0?ZgERjY-Cz< 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