InvokeAI/configs/models.yaml.example

# This file describes the alternative machine learning models
# available to InvokeAI script.
#
# To add a new model, follow the examples below. Each
# model requires a model config file, a weights file,
# and the width and height of the images it
# was trained on.
stable-diffusion-1.5:
  description: The newest Stable Diffusion version 1.5 weight file (4.27 GB)
  weights: ./models/ldm/stable-diffusion-v1/v1-5-pruned-emaonly.ckpt
  config: ./configs/stable-diffusion/v1-inference.yaml
  width: 512
  height: 512
  vae: ./models/ldm/stable-diffusion-v1/vae-ft-mse-840000-ema-pruned.ckpt
  default: true
stable-diffusion-1.4:
  description: Stable Diffusion inference model version 1.4
  config: configs/stable-diffusion/v1-inference.yaml
  weights: models/ldm/stable-diffusion-v1/sd-v1-4.ckpt
  vae: models/ldm/stable-diffusion-v1/vae-ft-mse-840000-ema-pruned.ckpt
  width: 512
  height: 512
inpainting-1.5:
  weights: models/ldm/stable-diffusion-v1/sd-v1-5-inpainting.ckpt
  config: configs/stable-diffusion/v1-inpainting-inference.yaml
  vae: models/ldm/stable-diffusion-v1/vae-ft-mse-840000-ema-pruned.ckpt
  description: RunwayML SD 1.5 model optimized for inpainting
add ability to specify location of config file (models.yaml) 2022-09-03 15:36:04 +00:00			`# This file describes the alternative machine learning models`
preload_models.py script downloads the weight files - user can select which weight files to download using huggingface cache - user must log in to huggingface, generate an access token, and accept license terms the very first time this is run. After that, everything works automatically. - added placeholder for docs for installing models - also got rid of unused config files. hopefully they weren't needed for textual inversion, but I don't think so. 2022-10-29 05:02:45 +00:00			`# available to InvokeAI script.`
add ability to specify location of config file (models.yaml) 2022-09-03 15:36:04 +00:00			`#`
			`# To add a new model, follow the examples below. Each`
			`# model requires a model config file, a weights file,`
			`# and the width and height of the images it`
			`# was trained on.`
preload_models.py script downloads the weight files - user can select which weight files to download using huggingface cache - user must log in to huggingface, generate an access token, and accept license terms the very first time this is run. After that, everything works automatically. - added placeholder for docs for installing models - also got rid of unused config files. hopefully they weren't needed for textual inversion, but I don't think so. 2022-10-29 05:02:45 +00:00			`stable-diffusion-1.5:`
			`description: The newest Stable Diffusion version 1.5 weight file (4.27 GB)`
			`weights: ./models/ldm/stable-diffusion-v1/v1-5-pruned-emaonly.ckpt`
			`config: ./configs/stable-diffusion/v1-inference.yaml`
			`width: 512`
			`height: 512`
			`vae: ./models/ldm/stable-diffusion-v1/vae-ft-mse-840000-ema-pruned.ckpt`
minor cleanups - change default model back to 1.4 - remove --fnformat from canonicalized dream prompt arguments (not needed for image reproducibility) - add -tm to canonicalized dream prompt arguments (definitely needed for image reproducibility) 2022-10-26 12:29:56 +00:00			`default: true`
improve behavior of preload_models.py - NEVER overwrite user's existing models.yaml - Instead, merge its contents into new config file, and rename original to models.yaml.orig (with message) - models.yaml has been removed from repository and renamed models.yaml.example 2022-10-31 15:08:19 +00:00			`stable-diffusion-1.4:`
			`description: Stable Diffusion inference model version 1.4`
			`config: configs/stable-diffusion/v1-inference.yaml`
fix models example weights for sd-v1.4 2022-10-31 21:17:21 +00:00			`weights: models/ldm/stable-diffusion-v1/sd-v1-4.ckpt`
improve behavior of preload_models.py - NEVER overwrite user's existing models.yaml - Instead, merge its contents into new config file, and rename original to models.yaml.orig (with message) - models.yaml has been removed from repository and renamed models.yaml.example 2022-10-31 15:08:19 +00:00			`vae: models/ldm/stable-diffusion-v1/vae-ft-mse-840000-ema-pruned.ckpt`
			`width: 512`
			`height: 512`
			`inpainting-1.5:`
			`weights: models/ldm/stable-diffusion-v1/sd-v1-5-inpainting.ckpt`
			`config: configs/stable-diffusion/v1-inpainting-inference.yaml`
			`vae: models/ldm/stable-diffusion-v1/vae-ft-mse-840000-ema-pruned.ckpt`
			`description: RunwayML SD 1.5 model optimized for inpainting`