PlagueKind - LTX2.3 Workflow - I2V - NVFP4 | MXFP8 | Ease of use ## V2 Notes- Upscale and 2x fps have added tiled sampler to improve speed. if you don't like the output, experiment with cfg pp sampler, or add 0.715 to sigma. Current sigma are done on purpose to retain identity and quality of first pass. ## V1 Notes- Focused Mainly on Speed and ease of usability while retaining single pass quality and likeness.- First pass is more or less optimized.- Identity Retention is pretty good.- First pass balanced for speed and quality.- Upscale and 2x fps work but will be optimized later.- I would avoid using RTX VSR with the whole chain active unless you have like 96gb ram.- Nvfp4 models are only for Blackwell, using them will not save you speed if you don't have Blackwell, but they should still work.- Default settings of the first pass should produce good quality and sharp. I personally like to use this for a single pass and just render straight at 1280.- Bumped FPS to 30 because it looks way bettwen imo, quality seems clearer overall and it gets rid of that ltx base fps look.---## Memory Chunk Note- This saves vram and speeds up it/s especially on longer videos- With 16gb of VRAM 3 chunks seems optimal for me- If you get triton errors, enter the model loader subgraph and disable use triton kernels---## Requirements- [ComfyUI-PlagueKind-Nodes](<a target="_blank" rel="ugc" href="https://github.com/PlagueKind/Comfyui-PlagueKind-Nodes">https://github.com/PlagueKind/Comfyui-PlagueKind-Nodes</a>)- [ComfyUI-KJNodes](<a target="_blank" rel="ugc" href="https://github.com/kijai/ComfyUI-KJNodes">https://github.com/kijai/ComfyUI-KJNodes</a>)- [Rgthree-comfy](<a target="_blank" rel="ugc" href="https://github.com/rgthree/rgthree-comfy">https://github.com/rgthree/rgthree-comfy</a>)- [Nvidia_RTX_Nodes_ComfyUI](<a target="_blank" rel="ugc" href="https://github.com/Comfy-Org/Nvidia_RTX_Nodes_ComfyUI">https://github.com/Comfy-Org/Nvidia_RTX_Nodes_ComfyUI</a>)- [Sage Attention](<a target="_blank" rel="ugc" href="https://github.com/thu-ml/SageAttention">https://github.com/thu-ml/SageAttention</a>) (optional)---### Model Choices[ltx-2.3-22b-dev-nvfp4.safetensors](<a target="_blank" rel="ugc" href="https://huggingface.co/Lightricks/LTX-2.3-nvfp4/resolve/main/ltx-2.3-22b-dev-nvfp4.safetensors?download=true">https://huggingface.co/Lightricks/LTX-2.3-nvfp4/resolve/main/ltx-2.3-22b-dev-nvfp4.safetensors?download=true</a>)[ltx-2.3-22b-dev_transformer_only_mxfp8_block32.safetensors](<a target="_blank" rel="ugc" href="https://huggingface.co/Kijai/LTX2.3_comfy/resolve/main/diffusion_models/ltx-2.3-22b-dev_transformer_only_mxfp8_block32.safetensors?download=true">https://huggingface.co/Kijai/LTX2.3_comfy/resolve/main/diffusion_models/ltx-2.3-22b-dev_transformer_only_mxfp8_block32.safetensors?download=true</a>)### Latent Upscalers[ltx-2.3-spatial-upscaler-x2-1.1.safetensors](<a target="_blank" rel="ugc" href="https://huggingface.co/Lightricks/LTX-2.3/resolve/main/ltx-2.3-spatial-upscaler-x2-1.1.safetensors?download=true">https://huggingface.co/Lightricks/LTX-2.3/resolve/main/ltx-2.3-spatial-upscaler-x2-1.1.safetensors?download=true</a>)[ltx-2.3-temporal-upscaler-x2-1.0.safetensors](<a target="_blank" rel="ugc" href="https://huggingface.co/Lightricks/LTX-2.3/resolve/main/ltx-2.3-temporal-upscaler-x2-1.0.safetensors?download=true">https://huggingface.co/Lightricks/LTX-2.3/resolve/main/ltx-2.3-temporal-upscaler-x2-1.0.safetensors?download=true</a>)### VAE[LTX23_audio_vae_bf16.safetensors](<a target="_blank" rel="ugc" href="https://huggingface.co/Kijai/LTX2.3_comfy/resolve/main/vae/LTX23_audio_vae_bf16.safetensors?download=true">https://huggingface.co/Kijai/LTX2.3_comfy/resolve/main/vae/LTX23_audio_vae_bf16.safetensors?download=true</a>)[LTX23_video_vae_bf16.safetensors](<a target="_blank" rel="ugc" href="https://huggingface.co/Kijai/LTX2.3_comfy/resolve/main/vae/LTX23_video_vae_bf16.safetensors?download=true">https://huggingface.co/Kijai/LTX2.3_comfy/resolve/main/vae/LTX23_video_vae_bf16.safetensors?download=true</a>)### Dual CLIP (Encoder and Projection) Choices[gemma_3_12B_it_fp4_mixed.safetensors](<a target="_blank" rel="ugc" href="https://huggingface.co/Comfy-Org/ltx-2/resolve/main/split_files/text_encoders/gemma_3_12B_it_fp4_mixed.safetensors?download=true">https://huggingface.co/Comfy-Org/ltx-2/resolve/main/split_files/text_encoders/gemma_3_12B_it_fp4_mixed.safetensors?download=true</a>)[gemma_3_12B_it_fp8_scaled.safetensors](<a target="_blank" rel="ugc" href="https://huggingface.co/Comfy-Org/ltx-2/resolve/main/split_files/text_encoders/gemma_3_12B_it_fp8_scaled.safetensors?download=true">https://huggingface.co/Comfy-Org/ltx-2/resolve/main/split_files/text_encoders/gemma_3_12B_it_fp8_scaled.safetensors?download=true</a>)[ltx-2.3_text_projection_fp8.safetensors](<a target="_blank" rel="ugc" href="https://huggingface.co/Winnougan/LTX-2.3-INT8/resolve/main/ltx-2.3_text_projection_fp8.safetensors?download=true">https://huggingface.co/Winnougan/LTX-2.3-INT8/resolve/main/ltx-2.3_text_projection_fp8.safetensors?download=true</a>)[ltx-2.3_text_projection_bf16.safetensors](<a target="_blank" rel="ugc" href="https://huggingface.co/Kijai/LTX2.3_comfy/resolve/main/text_encoders/ltx-2.3_text_projection_bf16.safetensors?download=true">https://huggingface.co/Kijai/LTX2.3_comfy/resolve/main/text_encoders/ltx-2.3_text_projection_bf16.safetensors?download=true</a>)### Distilled LoRA[ltx-2.3-22b-distilled-lora-1.1_fro90_ceil72_condsafe.safetensors](<a target="_blank" rel="ugc" href="https://huggingface.co/TenStrip/LTX2.3_Distilled_Lora_1.1_Experiments/resolve/main/ltx-2.3-22b-distilled-lora-1.1_fro90_ceil72_condsafe.safetensors?download=true">https://huggingface.co/TenStrip/LTX2.3_Distilled_Lora_1.1_Experiments/resolve/main/ltx-2.3-22b-distilled-lora-1.1_fro90_ceil72_condsafe.safetensors?download=true</a>)--- ### Optional LoRA[LTX-2.3-OmniNFT-RL-Lora_bf16.safetensors](<a target="_blank" rel="ugc" href="https://huggingface.co/Kijai/LTX2.3_comfy/resolve/main/loras/LTX-2.3-OmniNFT-RL-Lora_bf16.safetensors?download=true">https://huggingface.co/Kijai/LTX2.3_comfy/resolve/main/loras/LTX-2.3-OmniNFT-RL-Lora_bf16.safetensors?download=true</a>)[LTX_SulphurEXP_LoRA_fro99-avgrank105.safetensors](<a target="_blank" rel="ugc" href="https://huggingface.co/maximsobolev275/LTX-SulphurExperimental-LoRA-Optimized/resolve/main/LTX_SulphurEXP_LoRA_fro99-avgrank105.safetensors?download=true">https://huggingface.co/maximsobolev275/LTX-SulphurExperimental-LoRA-Optimized/resolve/main/LTX_SulphurEXP_LoRA_fro99-avgrank105.safetensors?download=true</a>)[LTX_10Eros_LoRA_fro99-avgrank77.safetensors](<a target="_blank" rel="ugc" href="https://huggingface.co/maximsobolev275/LTX-10Eros-LoRA-r768/resolve/main/LTX_10Eros_LoRA_fro99-avgrank77.safetensors?download=true">https://huggingface.co/maximsobolev275/LTX-10Eros-LoRA-r768/resolve/main/LTX_10Eros_LoRA_fro99-avgrank77.safetensors?download=true</a>)### Optional Model converted by me[10Eros_v1_experimental_nvfp4.safetensors](<a target="_blank" rel="ugc" href="https://huggingface.co/Plaguekind/10Eros_v1_experimental_nvfp4/resolve/main/10Eros_v1_experimental_nvfp4.safetensors?download=true">https://huggingface.co/Plaguekind/10Eros_v1_experimental_nvfp4/resolve/main/10Eros_v1_experimental_nvfp4.safetensors?download=true</a>)

PlagueKind - LTX2.3 Workflow - I2V - NVFP4 | MXFP8 | Ease of use - Eros | Sulphur Compatible

- Upscale and 2x fps have added tiled sampler to improve speed. if you don't like the output, experiment with cfg pp sampler, or add 0.715 to sigma. Current sigma are done on purpose to retain identity and quality of first pass.

Files with SHA256: 048fdb87efb4f0acf56f14d6a8c9007337dda024f40c7a126820de7b6b4cb01d