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2024-04-26 22:42:49 +02:00
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@@ -72,9 +72,9 @@ Limitations:
### PixArt Sigma
The Sigma models work just like the normal ones. Out of the released checkpoints, the 512 and 1024 one are supported.
The Sigma models work just like the normal ones. Out of the released checkpoints, the 512, 1024 and 2K one are supported.
You can find the [1024 checkpoint here](https://huggingface.co/PixArt-alpha/PixArt-Sigma/blob/main/PixArt-Sigma-XL-2-1024-MS.pth). Place it in your models folder and select the appropriate type in the model loader / resolution selection node.
You can find the [1024 checkpoint here](https://huggingface.co/PixArt-alpha/PixArt-Sigma/blob/main/PixArt-Sigma-XL-2-1024-MS.pth). Place it in your models folder and **select the appropriate type in the model loader / resolution selection node.**
> [!IMPORTANT]
> Make sure to select an SDXL VAE for PixArt Sigma!
@@ -132,6 +132,10 @@ You will need to download the following 4 files:
Place them in your `ComfyUI/models/t5` folder. You can put them in a subfolder called "t5-v1.1-xxl" though it doesn't matter. There are int8 safetensor files in the other DeepFloyd repo, thought they didn't work for me.
For faster loading/smaller file sizes, you may pick one of the following alternative downloads:
- [FP16 converted version](https://huggingface.co/theunlikely/t5-v1_1-xxl-fp16/tree/main) - Same layout as the original, download both safetensor files as well as the `*.index.json` and `config.json` files.
- [BF16 converter version](https://huggingface.co/city96/t5-v1_1-xxl-encoder-bf16/tree/main) - Merged into a single safetensor, only `model.safetensors` (+`config.json` for folder mode) are reqired.
### Usage
Loaded onto the CPU, it'll use about 22GBs of system RAM. Depending on which weights you use, it might use slightly more during loading.