nodes/kijai-ComfyUI-StableXWrapper
1
0
Fork 0
Code Issues Pull Requests Packages Projects Releases Wiki Activity

update reqs

Browse Source
This commit is contained in:
kijai
2025-01-31 02:14:37 +02:00
parent 1dcda3c9ce
commit 8cac710f0f
3 changed files with 2 additions and 6 deletions
Download Patch File Download Diff File Expand all files Collapse all files
requirements.txt
+2 -1
View File
@@ -1,2 +1,3 @@
accelerate accelerate
diffusers diffusers>=0.28.0
Pillow
stabledelight/controlnetvae.py
-1
View File
@@ -16,7 +16,6 @@ from typing import Any, Dict, List, Optional, Tuple, Union
import torch import torch
from diffusers.models.controlnet import ControlNetOutput from diffusers.models.controlnet import ControlNetOutput
from diffusers.models import ControlNetModel from diffusers.models import ControlNetModel
stabledelight/pipeline_yoso_delight.py
-4
View File
@@ -100,10 +100,6 @@ class YosoDelightPipeline():
Args: Args:
vae ([`AutoencoderKL`]): vae ([`AutoencoderKL`]):
Variational Auto-Encoder (VAE) model to encode and decode images to and from latent representations. Variational Auto-Encoder (VAE) model to encode and decode images to and from latent representations.
text_encoder ([`~transformers.CLIPTextModel`]):
Frozen text-encoder ([clip-vit-large-patch14](https://huggingface.co/openai/clip-vit-large-patch14)).
tokenizer ([`~transformers.CLIPTokenizer`]):
A `CLIPTokenizer` to tokenize text.
unet ([`UNet2DConditionModel`]): unet ([`UNet2DConditionModel`]):
A `UNet2DConditionModel` to denoise the encoded image latents. A `UNet2DConditionModel` to denoise the encoded image latents.
controlnet ([`ControlNetModel`] or `List[ControlNetModel]`): controlnet ([`ControlNetModel`] or `List[ControlNetModel]`):