From 8c204296d7c623776faa0d0053638516e2503a91 Mon Sep 17 00:00:00 2001 From: Brett Kuprel Date: Tue, 5 Jul 2022 07:40:45 -0400 Subject: [PATCH] update readme --- README.md | 4 +--- 1 file changed, 1 insertion(+), 3 deletions(-) diff --git a/README.md b/README.md index 207074b..c5f12a5 100644 --- a/README.md +++ b/README.md @@ -36,7 +36,7 @@ model = MinDalle( ) ``` -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. +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. 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. ```python image = model.generate_image( @@ -49,8 +49,6 @@ 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. Setting `log2_mid_count` to 3 results in a total of `2 ** 3 = 8` generated images. The only valid values for `log2_mid_count` are 0, 1, 2, 3, 4. ```python