nodes/city96-ComfyUI_ExtraModels
1
0
Fork 0
Code Issues Pull Requests Packages Projects Releases Wiki Activity

Update README.md

Browse Source
This commit is contained in:
City
2023-11-06 23:25:49 +01:00
committed by GitHub
parent b7a293cc27
commit 4fb1292c50
1 changed files with 17 additions and 0 deletions
Download Patch File Download Diff File Expand all files Collapse all files
README.md
+17
View File
@@ -31,6 +31,9 @@ Alternatively, use the manager, assuming it has an update function.
## DiT ## DiT
[Original Repo](https://github.com/facebookresearch/DiT)
### Model info / implementation ### Model info / implementation
- Uses class labels instead of prompts - Uses class labels instead of prompts
- Limited to 256x256 or 512x512 images - Limited to 256x256 or 512x512 images
@@ -52,6 +55,9 @@ ConditioningCombine nodes *should* work for combining multiple labels. The area
## PixArt ## PixArt
[Original Repo](https://github.com/PixArt-alpha/PixArt-alpha)
### Model info / implementation ### Model info / implementation
- Uses T5 text encoder instead of clip - Uses T5 text encoder instead of clip
- Available in 512 and 1024 versions, needs specific pre-defined resolutions to work correctly - Available in 512 and 1024 versions, needs specific pre-defined resolutions to work correctly
@@ -111,6 +117,17 @@ On windows, you may need a newer version of bitsandbytes for 4bit. Try `python -
A few custom VAE models are supported. The option to select a different dtype when loading is also possible, which can be useful for testing/comparisons. A few custom VAE models are supported. The option to select a different dtype when loading is also possible, which can be useful for testing/comparisons.
### Consistency Decoder
[Original Repo](https://github.com/openai/consistencydecoder)
Proof of concept until [the model definitions are released](https://github.com/openai/consistencydecoder/issues/1)
- Download the VAE from [the link in the OpenAI code](https://github.com/openai/consistencydecoder/blob/main/consistencydecoder/__init__.py#L79) / [Direct link](https://openaipublic.azureedge.net/diff-vae/c9cebd3132dd9c42936d803e33424145a748843c8f716c0814838bdc8a2fe7cb/decoder.pt)
- Put the file in your VAE folder
- Load it with the ExtraVAELoader
- Run out of VRAM
### AutoencoderKL / VQModel ### AutoencoderKL / VQModel
`kl-f4/8/16/32` from the [compvis/latent diffusion repo](https://github.com/CompVis/latent-diffusion/tree/main#pretrained-autoencoding-models). `kl-f4/8/16/32` from the [compvis/latent diffusion repo](https://github.com/CompVis/latent-diffusion/tree/main#pretrained-autoencoding-models).