Minor docs reformat

CHANGELOG.md

@@ -49,6 +49,7 @@ All pre-V3 context, latent, and FLUX2 workflow nodes moved to Deprecated/ catego
 ## v1.4.7 (2026-02-25)
 
 ### New Nodes
+
 - **TT KSampler (Guided)** — guided diffusion sampling with external guider, sigmas, and sampler
 - **TT Guider Image Reference** — encodes reference image into latent space and injects it into Guider conditioning
 - **TT Image Preview / Upscale / Save** — all-in-one preview, upscale, and save node
@@ -58,11 +59,13 @@ All pre-V3 context, latent, and FLUX2 workflow nodes moved to Deprecated/ catego
 - **TT Context Set Guider** — injects guider into TT_CONTEXT object
 
 ### Improvements
+
 - Added `BasicGuider` and `CommonTypes` to shared lib (`lib/common.py`)
 - Fixed missing f-strings in all error print statements across node imports
 - Fixed workflow settings module filenames (typo: `workfow` → `workflow`)
 
 ### Docs
+
 - Added docs for all new nodes
 - Updated NODES.md with descriptions for all new nodes
 - Updated Latent Factory description

README.md

@@ -101,7 +101,16 @@ Great thanks and appreciation for your excellent work!
 
 > [!TIP]  
 > You can download Flux.2-dev along with additional models (CLIP, VAE) via the link below:  
-> [Comfy-Org/flux2-dev](https://huggingface.co/Comfy-Org/flux2-dev/tree/main/split_files)
+> [Comfy-Org/flux2-dev](https://huggingface.co/Comfy-Org/flux2-dev/tree/main/split_files)  
+
+> [!TIP]  
+> **Pre-quantized models by City96:**  
+>  
+> [FLUX1.D GGUF](https://huggingface.co/city96/FLUX.1-dev-gguf)  
+> [FLUX1 Schnell GGUF](https://huggingface.co/city96/FLUX.1-schnell-gguf)  
+> [Stable Diffusion-3.5 Large GGUF](https://huggingface.co/city96/FLUX.1-dev-gguf)  
+> [Stable Diffusion-3.5 Large Turbo GGUF](https://huggingface.co/city96/stable-diffusion-3.5-large-turbo-gguf)  
+> [T5_XXL v1.1 GGUF](https://huggingface.co/city96/t5-v1_1-xxl-encoder-gguf)  
 
 ---
 

nodes_image.py

@@ -13,11 +13,11 @@ from PIL import Image, ImageOps, ImageSequence
 from spandrel import ModelLoader, ImageModelDescriptor
 
 import folder_paths
-from comfy import model_management, utils, samplers
+from comfy import model_management, utils
 from comfy_api.latest import ComfyExtension, io, ui
 from node_helpers import conditioning_set_values, pillow
-from .nodes_vae import vae_encode
 from .nodes_text_encoder import SingleCondCFGGuider
+from .nodes_vae import vae_encode
 
 CATEGORY = "TenserTensor/Image"
 RESIZE_METHODS = ["nearest-exact", "bilinear", "area", "bicubic", "bislerp"]
@@ -26,8 +26,6 @@ FORMAT_EXT = {"PNG": ".png", "JPEG": ".jpg", "WEBP": ".webp", }
 MEGAPIXELS = ["0.25 MP", "0.5 MP", "1 MP", "2 MP", "4 MP", "8 MP"]
 
 
-
-
 def align_to_step(size, scale_factor, dimension_step):
     return round(size * scale_factor / dimension_step) * dimension_step