update docker build

Signed-off-by: Vladimir Mandic <mandic00@live.com>

CHANGELOG.md

@@ -1,21 +1,28 @@
 # Change Log for SD.Next
 
-## Update for 2025-08-14
+## Update for 2025-08-15
 
-### Highlights for 2025-08-14
+### Highlights for 2025-08-15
 
-Several new models: [Qwen-Image](https://qwenlm.github.io/blog/qwen-image/) (plus *Lightning* variant) and [FLUX.1-Krea-Dev](https://www.krea.ai/blog/flux-krea-open-source-release)  
-Several updated models: [Chroma](https://huggingface.co/lodestones/Chroma), [SkyReels-V2](https://huggingface.co/Skywork/SkyReels-V2-DF-14B-720P-Diffusers), [Wan-VACE](https://huggingface.co/Wan-AI/Wan2.1-VACE-14B-diffusers), [HunyuanDiT](https://huggingface.co/Tencent-Hunyuan/HunyuanDiT-v1.2-Diffusers-Distilled)  
-Plus continuing with major **UI** work, we have new embedded **Docs/Wiki** search, redesigned real-time **hints**, **wildcards** UI selector, built-in **GPU monitor**, **CivitAI** integration and more!  
-On the compute side, new profiles for high-vram GPUs, offloading improvements, parallel-load for large models, support for new `torch` release and improved quality when using low-bit quantization!      
-And (*as always*) many bugfixes and improvements to existing features!  
+New release two weeks after the last one and its a big one with over 150 commits!
+- Several new models: [Qwen-Image](https://qwenlm.github.io/blog/qwen-image/) (plus *Lightning* variant) and [FLUX.1-Krea-Dev](https://www.krea.ai/blog/flux-krea-open-source-release)  
+- Several updated models: [Chroma](https://huggingface.co/lodestones/Chroma), [SkyReels-V2](https://huggingface.co/Skywork/SkyReels-V2-DF-14B-720P-Diffusers), [Wan-VACE](https://huggingface.co/Wan-AI/Wan2.1-VACE-14B-diffusers), [HunyuanDiT](https://huggingface.co/Tencent-Hunyuan/HunyuanDiT-v1.2-Diffusers-Distilled)  
+- Plus continuing with major **UI** work with new embedded **Docs/Wiki** search, redesigned real-time **hints**, **wildcards** UI selector, built-in **GPU monitor**, **CivitAI** integration and more!  
+- On the compute side, new profiles for high-vram GPUs, offloading improvements, parallel-load for large models, support for new `torch` release and improved quality when using low-bit quantization!      
+- And (*as always*) many bugfixes and improvements to existing features!  
+
+We're also announcing **SD.Next Model Samples Gallery**, a pre-generated image gallery with 60 models (45 base and 15 finetunes) and 40 different styles resulting in 2,400 high resolution images!  
+Gallery additionally includes model details such as typical load and inference times as well as sizes and types of each model component (*e.g. unet, transformer, text-encoder, vae*)  
+[Live page](https://vladmandic.github.io/sd-samples/compare.html) | [GitHub repo](https://github.com/vladmandic/sd-samples)
+
+![sd-samples](https://github.com/user-attachments/assets/3efc8603-0766-4e4e-a4cb-d8c9b13d1e1d)
 
 *Note*: Change-in-behavior - locations of downloaded HuggingFace models and components are changed to allow for de-duplication of common modules and switched from using system default cache folder to `models/huggingface`  
 SD.Next will warn on startup on unused cache entries that can be removed. Also, to take advantage of de-duplication, you'll need to delete models from your `models/Diffusers` folder and let SD.Next re-download them!  
 
 [ReadMe](https://github.com/vladmandic/automatic/blob/master/README.md) | [ChangeLog](https://github.com/vladmandic/automatic/blob/master/CHANGELOG.md) | [Docs](https://vladmandic.github.io/sdnext-docs/) | [WiKi](https://github.com/vladmandic/automatic/wiki) | [Discord](https://discord.com/invite/sd-next-federal-batch-inspectors-1101998836328697867)
 
-### Details for 2025-08-14
+### Details for 2025-08-15
 
 - **Models**  
   - [Qwen-Image](https://qwenlm.github.io/blog/qwen-image/)  
@@ -132,6 +139,9 @@ SD.Next will warn on startup on unused cache entries that can be removed. Also,
   - new unified pipeline component loader in `pipelines/generic`  
   - remove **LDSR**  
   - remove `api-only` cli option  
+- **Docker**  
+  - update cuda base image: `pytorch/pytorch:2.8.0-cuda12.8-cudnn9-runtime`  
+  - update official builds: <https://hub.docker.com/r/vladmandic/sdnext-cuda/tags>  
 - **Fixes**  
   - refactor legacy processing loop  
   - fix settings components mismatch  

TODO.md

@@ -2,10 +2,6 @@
 
 Main ToDo list can be found at [GitHub projects](https://github.com/users/vladmandic/projects)
 
-## Current Candidates
-
-- `HF_ENABLE_PARALLEL_LOADING`
-
 ## Future Candidates
 
 - Remote TE
@@ -78,7 +74,6 @@ Main ToDo list can be found at [GitHub projects](https://github.com/users/vladma
 - control: support scripts via api
 - fc: autodetect distilled based on model
 - fc: autodetect tensor format based on model
-- flux: loader for civitai nf4 models
 - hypertile: vae breaks when using non-standard sizes
 - install: enable ROCm for windows when available
 - loader: load receipe
@@ -86,8 +81,6 @@ Main ToDo list can be found at [GitHub projects](https://github.com/users/vladma
 - lora: add other quantization types
 - lora: add t5 key support for sd35/f1
 - lora: maybe force imediate quantization
-- model load: add ChromaControlPipeline, ChromaInpaintPipeline
-- model load: cogview4 balanced offload does not work for GlmModel
 - model load: force-reloading entire model as loading transformers only leads to massive memory usage
 - model load: group offload
 - model load: implement model in-memory caching

configs/Dockerfile.cuda

@@ -2,7 +2,7 @@
 # docs: <https://github.com/vladmandic/sdnext/wiki/Docker>
 
 # base image
-FROM pytorch/pytorch:2.7.0-cuda12.8-cudnn9-runtime
+FROM pytorch/pytorch:2.8.0-cuda12.8-cudnn9-runtime
 
 # metadata
 LABEL org.opencontainers.image.vendor="SD.Next"
@@ -13,7 +13,7 @@ LABEL org.opencontainers.image.source="https://github.com/vladmandic/sdnext/"
 LABEL org.opencontainers.image.licenses="AGPL-3.0"
 LABEL org.opencontainers.image.title="SD.Next"
 LABEL org.opencontainers.image.description="SD.Next: Advanced Implementation of Stable Diffusion and other Diffusion-based generative image models"
-LABEL org.opencontainers.image.base.name="https://hub.docker.com/pytorch/pytorch:2.7.0-cuda12.8-cudnn9-runtime"
+LABEL org.opencontainers.image.base.name="https://hub.docker.com/pytorch/pytorch:2.8.0-cuda12.8-cudnn9-runtime"
 LABEL org.opencontainers.image.version="latest"
 
 # minimum install

modules/memstats.py

@@ -86,7 +86,7 @@ def gpu_stats():
         gpu['error'] = str(e)
         if not fail_once:
             shared.log.error(f'GPU stats: {e}')
-            errors.display(e, 'GPU stats')
+            # errors.display(e, 'GPU stats')
             fail_once = True
     return gpu
 

package.json

@@ -1,7 +1,7 @@
 {
   "name": "@vladmandic/sdnext",
   "version": "dev",
-  "description": "SD.Next: Opinionated implementation of Stable Diffusion",
+  "description": "SD.Next: All-in-one WebUI for AI generative image and video creation",
   "author": "Vladimir Mandic <mandic00@live.com>",
   "bugs": {
     "url": "https://github.com/vladmandic/sdnext/issues"
@@ -19,7 +19,7 @@
     "venv": ". venv/bin/activate",
     "start": ". venv/bin/activate; python launch.py --debug",
     "localize": "node cli/localize.js",
-    "packages": ". venv/bin/activate && pip install --upgrade transformers accelerate huggingface_hub safetensors tokenizers peft compel pytorch_lightning",
+    "packages": ". venv/bin/activate && pip install --upgrade transformers accelerate huggingface_hub safetensors tokenizers peft compel pytorch_lightning pylint ruff",
     "eslint": "eslint . javascript/ extensions-builtin/sdnext-modernui/javascript/",
     "ruff": ". venv/bin/activate && ruff check",
     "pylint": ". venv/bin/activate && pylint *.py modules/ pipelines/ scripts/ extensions-builtin/ | grep -v '^*'",

requirements.txt

@@ -47,7 +47,7 @@ einops==0.8.1
 huggingface_hub==0.34.4
 numexpr==2.11.0
 numpy==2.1.2
-pandas==2.3.0
+pandas==2.3.1
 numba==0.61.2
 protobuf==4.25.3
 pytorch_lightning==2.5.3