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add support for loading VAE autoencoders

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To add a VAE autoencoder to an existing model:

1. Download the appropriate autoencoder and put it into
   models/ldm/stable-diffusion

   Note that you MUST use a VAE that was written for the
   original CompViz Stable Diffusion codebase. For v1.4,
   that would be the file named vae-ft-mse-840000-ema-pruned.ckpt
   that you can download from https://huggingface.co/stabilityai/sd-vae-ft-mse-original

2. Edit config/models.yaml to contain the following stanza, modifying `weights`
   and `vae` as required to match the weights and vae model file names. There is
   no requirement to rename the VAE file.

~~~
stable-diffusion-1.4:
  weights: models/ldm/stable-diffusion-v1/sd-v1-4.ckpt
  description: Stable Diffusion v1.4
  config: configs/stable-diffusion/v1-inference.yaml
  vae: models/ldm/stable-diffusion-v1/vae-ft-mse-840000-ema-pruned.ckpt
  width: 512
  height: 512
~~~

3. Alternatively from within the `invoke.py` CLI, you may use the command
   `!editmodel stable-diffusion-1.4` to bring up a simple editor that will
   allow you to add the path to the VAE.

4. If you are just installing InvokeAI for the first time, you can also
   use `!import_model models/ldm/stable-diffusion/sd-v1.4.ckpt` instead
   to create the configuration from scratch.

5. That's it!
This commit is contained in:
Lincoln Stein
2022-10-22 13:29:45 -04:00
parent 493eaa7389
commit f25c1f900f
3 changed files with 23 additions and 2 deletions
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14
scripts/invoke.py
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@ -493,6 +493,16 @@ def add_weights_to_config(model_path:str, gen, opt, completer):
new_config['config'] = input('Configuration file for this model: ')
done = os.path.exists(new_config['config'])
done = False
completer.complete_extensions(('.vae.pt','.vae','.ckpt'))
while not done:
vae = input('VAE autoencoder file for this model [None]: ')
if os.path.exists(vae):
new_config['vae'] = vae
done = True
else:
done = len(vae)==0
completer.complete_extensions(None)
for field in ('width','height'):
@ -537,8 +547,8 @@ def edit_config(model_name:str, gen, opt, completer):
conf = config[model_name]
new_config = {}
completer.complete_extensions(('.yaml','.yml','.ckpt','.vae'))
for field in ('description', 'weights', 'config', 'width','height'):
completer.complete_extensions(('.yaml','.yml','.ckpt','.vae.pt'))
for field in ('description', 'weights', 'vae', 'config', 'width','height'):
completer.linebuffer = str(conf[field]) if field in conf else ''
new_value = input(f'{field}: ')
new_config[field] = int(new_value) if field in ('width','height') else new_value