It now includes two workflows:
Runtime profile
Source description
It now includes two workflows:
---Wan2.1_Vace_T2I_inpainting_outpainting_gguf_LowVram_easy_V1.json
---Wan2.1_Vace_T2I_inpainting_outpainting_gguf_LowVram_easy_V1 (add_Nag).json
Yeah, it definitely takes time to create, test, and optimize this workflow.
Now we can use Wan2.1_Vace for single-image inpainting and outpainting, and It works well.
Forget about messing with complicated image segmentation and video frame extraction – we can just mask whatever we want, wherever we want, in a single picture.
Heads up:
AI-generated commentary
AI-generated explanation based on source and configuration details. Suggestions are clearly labeled.
Use Wan2.1 Vace T2I_Inpainting&out_gguf_8g_LowVram_feet&hand_fix_easy for single-image inpainting and outpainting: provide one picture and a mask, then save the edited image.
It includes two workflow files: Wan2.1_Vace_T2I_inpainting_outpainting_gguf_LowVram_easy_V1.json and Wan2.1_Vace_T2I_inpainting_outpainting_gguf_LowVram_easy_V1 (add_Nag).json.
Named input components include LoadImage and MaskToImage.
Named image stages include MaskPreview+, Image Comparer (rgthree), and SaveImage.
The listing identifies this as a Workflows item from SamLiu and names Wan Video 14B i2v 480p as its base model.
The named model files are umt5_xxl_fp8_e4m3fn_scaled.safetensors, wan_2.1_vae.safetensors, and Wan2.1_14B_VACE-Q4_0.gguf.
Image and mask handling names include LoadImage, ImagePadForOutpaint, ImageCompositeMasked, MaskToImage, ImageResizeKJv2, ImageGenResolutionFromImage, MaskPreview+, ResizeMask, INPAINT_MaskedFill, VAELoader, VAEDecode, and SaveImage.
Other named components include Power Lora Loader (rgthree), CLIPLoader, CFGZeroStar, CLIPTextEncode, SkipLayerGuidanceDiT, Image Comparer (rgthree), ModelSamplingSD3, KSamplerWithNAG, MarkdownNote, UnetLoaderGGUF, UNetTemporalAttentionMultiply, and WanVaceToVideo.
Both width and height need to be divisible by 32; other values are described as causing an error.
For generation steps, try 4 for a preview, 8 or 12 for “Barely,” and at least 16 for “Basically the best it can do.”
Suggestion · not verified
Before use, verify that your setup includes the named model files and components.
Suggestion · not verified
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Sources
1 sourceSource excerpts
1 excerptSource context: 620 downloads · Type Workflows · Base model Wan Video 14B i2v 480p
Both the width and height need to be divisible by 32 , otherwise you're gonna get an error.
Recommended gen steps:
Preview experiment 4
Barely 8, 12
Basically the best it can do >=16
Hardware and download-size estimates are not available yet.
Requirements
CLIPLoader
PossibleText encoder · Unknown
umt5_xxl_fp8_e4m3fn_scaled.safetensors
File unverifiedText encoder · Unknown
VAEDecode
PossibleVAE · Unknown
VAELoader
PossibleVAE · Unknown
wan_2.1_vae.safetensors
File unverifiedVAE · Unknown
Wan2.1_14B_VACE-Q4_0.gguf
Not resolvedCheckpoint · Unknown
CFGZeroStar
Not resolvedNode pack · Unknown
CLIPTextEncode
PossibleNode pack · Unknown
Image Comparer (rgthree)
Not resolvedNode pack · Unknown
ImageCompositeMasked
PossibleNode pack · Unknown
Node pack · Unknown
ImagePadForOutpaint
PossibleNode pack · Unknown
ImageResizeKJv2
PossibleNode pack · Unknown
Node pack · Unknown
KSamplerWithNAG
PossibleNode pack · Unknown
LoadImage
PossibleNode pack · Unknown
MarkdownNote
Not resolvedNode pack · Unknown
Node pack · Unknown
MaskToImage
PossibleNode pack · Unknown
ModelSamplingSD3
FoundNode pack · Unknown
Power Lora Loader (rgthree)
Not resolvedNode pack · Unknown
Node pack · Unknown
SaveImage
PossibleNode pack · Unknown
SkipLayerGuidanceDiT
Not resolvedNode pack · Unknown
UnetLoaderGGUF
PossibleNode pack · Unknown
UNetTemporalAttentionMultiply
Not resolvedNode pack · Unknown
WanVaceToVideo
Not resolvedNode pack · Unknown