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MrXin LTX 2.3 I2V - Eros - 12GB VRAM & 32GB RAM - Workflow v5.0.txt
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| 1 |
+
MrXin LTX 2.3 I2V - Eros - 12GB VRAM & 32GB RAM - Workflow
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| 2 |
+
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| 3 |
+
Core Features
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| 4 |
+
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| 5 |
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Extremely strong, natural and consistent motion from First to Final Pass
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| 6 |
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Excellent anatomy, lighting, physics and NSFW detail
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| 8 |
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| 9 |
+
High-quality 24 FPS video with perfectly synced audio
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| 10 |
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Easy model switching between 10Eros V1 FP8 and Distilled 22B
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| 12 |
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Built-in Video Editor (RTX Super Resolution + nmkdSiaxCX upscaler + RIFE 48/60 FPS)
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Optimized for 16GB VRAM setups and 32GB RAM
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π₯ Required Models + Direct Download Links
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10Eros V1 FP8 (Main Checkpoint) β ltx2310eros_v1_FP8.safetensors
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Distilled Model β ltx-2.3-22b-distilled_transformer_only_fp8_input_scaled_v3.safetensors
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Text Encoder β gemma_3_12B_it_fp8_e4m3fn.safetensors
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Text Projection β ltx-2.3_text_projection_bf16.safetensors
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Video VAE β LTX23_video_vae_bf16.safetensors
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Audio VAE β LTX23_audio_vae_bf16.safetensors
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Preview VAE β taeltx2_3.safetensors
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Spatial Upscaler β ltx-2.3-spatial-upscaler-x2-1.0.safetensors
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Model Upscaler β nmkdSiaxCX_200k.safetensors
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Distilled LoRAs (First & Second Pass)
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π Folder Structure
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ComfyUI/
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ββββπ models/
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β ββββπ diffusion_models/
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| 44 |
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β β ββββ ltx2310eros_beta.safetensors
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β β ββββ ltx-2.3-22b-distilled_transformer_only_fp8_input_scaled_v3.safetensors
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β β
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β ββββπ text_encoders/
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β β ββββ gemma_3_12B_it_fp8_e4m3fn.safetensors
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β β
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β ββββπ clip/
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β β ββββ ltx-2.3_text_projection_bf16.safetensors
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β β
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β ββββπ VAE/
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β β ββββ LTX23_video_vae_bf16.safetensors
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β β ββββ LTX23_audio_vae_bf16.safetensors
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β β ββββ taeltx2_3.safetensors
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β β
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β ββββπ latent_upscale_models/
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β β ββββ ltx-2.3-spatial-upscaler-x2-1.1.safetensors
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β β
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β ββββπ upscale_models/
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β β ββββ nmkdSiaxCX_200k.safetensors
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β β
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β ββββπ Lora/
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β ββββ ltx-2.3-22b-distilled-lora-1.1_fro90_ceil72_condsafe.safetensors
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β ββββ ltx-2.3-22b-distilled-lora-384-1.1.safetensors
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Custom Nodes Overview β MrXin LTX 2.3 I2V EROS V6
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ComfyUI-KJNodes
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| 72 |
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rgthree-comfy
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ComfyUI-easy-use
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ComfyUI-mxToolkit
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| 78 |
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ComfyUI-VideoHelperSuite
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ComfyUI-LTXVideo
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controlaltai-nodes
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comfyui_nvidia_rtx_nodes
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GACLove/ComfyUI-VFI (voor RIFE)
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comfyui_memory_cleanup + comfyui-impact-pack
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Pro Tip: Use the new 10Eros V1 FP8 model with its recommended trigger words for the best results.
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β
Quick OOM Fix Guide
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If youβre getting Out of Memory errors or weird faces in the final pass, follow these steps in order:
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1. Update or Fresh Install ComfyUI + Install Missing Custom Nodes
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Download and run the Easy Installer: π https://github.com/Tavris1/ComfyUI-Easy-Install
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Or watch this short video: π https://www.youtube.com/watch?v=CgLL5aoEX-s&t=1041s
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After updating/installing:
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Open ComfyUI β go to Manager β click Install Missing Custom Nodes
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Restart ComfyUI completely.
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2. Add the Low VRAM Flags
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| 110 |
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| 111 |
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Go to your ComfyUI folder.
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Find the file ComfyUI.bat.
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Right-click β Edit (open with Notepad).
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Find the line that has ComfyUI\main.py .
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| 118 |
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Add the flags at the end so it looks like this:
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bat
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ComfyUI\main.py --lowvram --reserve-vram 6 --preview-method none --disable-xformers --disable-smart-memory
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Save and launch ComfyUI using this .bat file.
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3. Increase Windows Swap File (Virtual Memory) This helps when VRAM still spikes:
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| 128 |
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Right-click This PC β Properties β Advanced system settings.
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Click Settings under Performance β Advanced tab β Change (under Virtual memory).
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| 132 |
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| 133 |
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Uncheck βAutomatically manage paging file size for all drivesβ.
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| 134 |
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| 135 |
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Select your main drive (usually C:) β choose Custom size.
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| 136 |
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| 137 |
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Set:
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| 138 |
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| 139 |
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Initial size (MB): 49152
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| 140 |
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Maximum size (MB): 98304
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Click Set β OK β restart your PC.
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| 144 |
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| 145 |
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After doing all three steps, reload the workflow and test with Longer Side 1024 and Video Length 20 seconds first. This combination fixes OOM for almost everyone on 12GB cards
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MrXin LTX 2.3 I2V - Eros - 12GB VRAM & 32GB RAM - Workflow v5.0.zip
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
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| 2 |
+
oid sha256:1d0d93ec8e7794561008e6b8faba0b802b6d3127d03579e45cb0a90b84a7387e
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| 3 |
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size 26006
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