Commit Graph

160 Commits

Author SHA1 Message Date
Lincoln Stein
916f5bfbb2 gracefully recover from failed model load 2022-10-13 12:27:04 -04:00
hipsterusername
7e33560010 Hires Addition
Updated ImageMetaDataViewer with correct values
Updated tooltip text
Add arguments for Hires & Seamless Metadata
2022-10-13 23:57:24 +13:00
CapableWeb
6c0dd9b5ef Add back old dream.py as legacy_api.py
This commit "reverts" the new API changes by extracting the old
functionality into new files.

The work is based on the commit `803a51d5adca7e6e28491fc414fd3937bee7cb79`

PngWriter regained PromptFormatter as old server used that.

`server_legacy.py` is the old server that `dream.py` used.

Finally `legacy_api.py` is what `dream.py` used to be at the mentioned
commit.

One manually run test has been added in order to be able to test
compatibility with the old API, currently just testing that the API
endpoint works the same way + the image hash is the same as it used to
be before.
2022-10-12 20:35:56 -04:00
Lincoln Stein
1c102c71fc final fixups to memory_cache
- fixed backwards calculation of minimum available memory
- only execute m.padding adjustment code once upon load
2022-10-12 15:56:06 -04:00
Lincoln Stein
aa6aa68753 proposed fix to work on mps systems 2022-10-12 11:08:27 -04:00
Lincoln Stein
b537e92789 move tokenizer into cpu cache as well 2022-10-12 03:03:29 -04:00
Lincoln Stein
488334710b enable fast switching between models in invoke.py
- This PR enables two new commands in the invoke.py script

 !models         -- list the available models and their cache status
 !switch <model> -- switch to the indicated model

Example:

 invoke> !models
   laion400m            not loaded  Latent Diffusion LAION400M model
   stable-diffusion-1.4     active  Stable Diffusion inference model version 1.4
   waifu-1.3                cached  Waifu anime model version 1.3
 invoke> !switch waifu-1.3
   >> Caching model stable-diffusion-1.4 in system RAM
   >> Retrieving model waifu-1.3 from system RAM cache

The name and descriptions of the models are taken from
`config/models.yaml`. A future enhancement to `model_cache.py` will be
to enable new model stanzas to be added to the file
programmatically. This will be useful for the WebGUI.

More details:

- Use fast switching algorithm described in PR #948
- Models are selected using their configuration stanza name
  given in models.yaml.
- To avoid filling up CPU RAM with cached models, this PR
  implements an LRU cache that monitors available CPU RAM.
- The caching code allows the minimum value of available RAM
  to be adjusted, but invoke.py does not currently have a
  command-line argument that allows you to set it. The
  minimum free RAM is arbitrarily set to 2 GB.
- Add optional description field to configs/models.yaml

Unrelated fixes:
- Added ">>" to CompViz model loading messages in order to make user experience
  more consistent.
- When generating an image greater than defaults, will only warn about possible
  VRAM filling the first time.
- Fixed bug that was causing help message to be printed twice. This involved
  moving the import line for the web backend into the section where it is
  called.

Coauthored by: @ArDiouscuros
2022-10-12 02:37:42 -04:00
Lincoln Stein
b9e910b5f4 add mostly functional model caching module 2022-10-11 17:24:10 -04:00
Lincoln Stein
4c026d9d92 enhance the in-line -h command help text
- the prompt argument comes before the optional arguments
- usage statement shows 'invoke>' rather than 'invoke.py'
- use pydoc pager to help display long help message
2022-10-08 13:53:56 -04:00
Lincoln Stein
2b1aaf4ee7 rename all modules from ldm.dream to ldm.invoke
- scripts and documentation updated to match
- ran preflight checks on both web and CLI and seems to be working
2022-10-08 11:37:23 -04:00