docs: update README to include new MultiGPU loaders and clarify workflow steps
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@@ -18,7 +18,7 @@ Currently supported nodes (automatically detected if available):
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- Standard ComfyUI loaders:
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- CheckpointLoaderSimpleMultiGPU
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- CLIPLoaderMultiGPU
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- ControlNetLoaderMultiGPU
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- ControlNetLoaderMultiGPU
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- DualCLIPLoaderMultiGPU
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- TripleCLIPLoaderMultiGPU
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- UNETLoaderMultiGPU
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@@ -26,13 +26,20 @@ Currently supported nodes (automatically detected if available):
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- GGUF loaders (requires [ComfyUI-GGUF](https://github.com/city96/ComfyUI-GGUF)):
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- UnetLoaderGGUFMultiGPU (supports quantized models like [flux1-dev-gguf](https://huggingface.co/city96/FLUX.1-dev-gguf))
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- UnetLoaderGGUFAdvancedMultiGPU
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- UnetLoaderGGUFAdvancedMultiGPU
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- CLIPLoaderGGUFMultiGPU
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- DualCLIPLoaderGGUFMultiGPU
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- TripleCLIPLoaderGGUFMultiGPU
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- Additional supported nodes:
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- LoadFluxControlNet (requires [x-flux-comfy](https://github.com/XLabAI/x-flux-comfyui))
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- XLabAI FLUX ControlNet:
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- LoadFluxControlNetMultiGPU (requires [x-flux-comfy](https://github.com/XLabAI/x-flux-comfyui))
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- Florence2:
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- Florence2ModelLoaderMultiGPU (requires [ComfyUI-Florence2](https://github.com/kijai/ComfyUI-Florence2))
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- DownloadAndLoadFlorence2ModelMultiGPU
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- LTX Video Custom Checkpoint Loader:
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- LTXVLoaderMultiGPU (requires [ComfyUI-LTXVideo](https://github.com/Lightricks/ComfyUI-LTXVideo))
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All MultiGPU nodes can be found in the "multigpu" category in the node menu.
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@@ -73,9 +80,9 @@ These workflows combine multiple features and non-core loaders types and may req
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- [Download](examples/florence2_flux1dev_ltxv_2gpu_GGUF.json)
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This workflow creates an img2txt2img2vid video generation pipeline by:
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1. Taking a starting image for analysis by Florence2
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1. Providing a starting image for analysis by Florence2
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2. Using the Florence2 data for a FLUX.1 Dev image prompt
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3. Taking the FLUX.1 image prompt and providing it as the starting image for LTX Video
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3. Taking the resulting FLUX.1 image and provide it as the starting image for an LTX Video image-to-video generation
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4. Generate a 5 second video based on the provided image
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All models are distributed across available GPUs with no reloading on dual 3090s
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