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Brett Kuprel 2022-07-05 17:25:09 -04:00
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README.md vendored
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@ -36,13 +36,14 @@ 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. 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. 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. Every image token is sampled from the $k$ most probably tokens.
```python ```python
image = model.generate_image( image = model.generate_image(
text='Nuclear explosion broccoli', text='Nuclear explosion broccoli',
seed=-1, seed=-1,
grid_size=4, grid_size=4,
log2_k=6,
log2_supercondition_factor=5, log2_supercondition_factor=5,
is_verbose=False is_verbose=False
) )
@ -61,6 +62,7 @@ image_stream = model.generate_image_stream(
seed=-1, seed=-1,
grid_size=3, grid_size=3,
log2_mid_count=3, log2_mid_count=3,
log2_k=6,
log2_supercondition_factor=3, log2_supercondition_factor=3,
is_verbose=False is_verbose=False
) )