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SDXL
Laufzeitprofil
Quellenbeschreibung
What this workflow does
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In an advanced scientific laboratory, a groundbreaking workflow has been developed, one that transcends the traditional boundaries of genetic engineering. This workflow, a marvel of biotechnology, seamlessly integrates the DNA of two distinct individuals to create a unique clone, a synthesis of both genetic profiles.
The entire process is meticulously documented on video. The initial phase involves capturing the fusion of the DNA strands, a captivating dance of genetic material that unfolds in real-time. In the subsequent phase, this video is meticulously compiled, providing a visual narrative of the genetic fusion from start to finish.
A fascinating optional feature of this workflow is the ability to incorporate additional DNA sequences into the fusion process using prompts. This opens up a realm of possibilities, including the injection of rare, extraterrestrial DNA, pushing the boundaries of genetic science into the realm of the unknown.
KI-generierter Kommentar
KI-generierte Erklärung auf Grundlage von Quellen- und Konfigurationsdetails. Vorschläge sind klar gekennzeichnet.
This SDXL 1.0 ComfyUI workflow is for creating a visual DNA-fusion/clone sequence from two people’s photos; it takes one photo for each person, a Controlnet_depth map, an age setting, optional prompt text, and Save and Load folders, then produces a fusion result and a video ofthe
Run Generate once to start the fusion process; after it finishes, run Generate again to create the process video.
Inputs include one picture for each person and a Controlnet_depth map loaded into the appropriate loaders.
Outputs include the generated fusion result and a video documenting the process; the example video is presented as a YouTube Short.
Use it in ComfyUI with the SDXL 1.0 base model; the listed release is v1.0.
This is a workflow rather than a Pipe, so Pipe-version details do not apply.
The listed required model files are: depth-zoe-xl-v1.0-controlnet.safetensors; GFPGANv1.4.pth; inswapper_128.onnx; ip-adapter-plus-face_sdxl_vit-h.safetensors; juggernautXL_version5.safetensors; model (1).safetensors; rife46.pth; and sdxl_vae.safetensors.
The workflow also lists these required node names: AlphaChanelRemove; CheckpointLoaderSimple; CLIPSetLastLayer; CLIPTextEncodeSDXL; CLIPVisionLoader; ControlNetApply; ControlNetLoader; CR Apply LoRA Stack; CR Checker Pattern; CR Color Bars; CR LoRA Stack; CR Overlay Text; CR SDXL
The remaining required node names are: CR Aspect Ratio; CR Starburst Colors; Cut By Mask; EmptyImage; EmptyLatentImage; Image Rembg (Remove Background); Image scale to side; Image To Mask; ImpactSwitch; InvertMask; IPAdapterApplyEncoded; IPAdapterEncoder; IPAdapterModelLoader; K
Set the age of the clone to be generated.
An optional prompt can add additional DNA sequences to the fusion process.
Adjust the video speed with the framerate settings.
The process is described as a simplification and raises ethical and philosophical questions about life and identity.
No license is specified for this workflow, so verify usage rights before reuse.
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Quellen
1 QuelleQuellenauszüge
1 AuszugSource context: 386 downloads · Type Workflows · Base model SDXL 1.0
The fusion process operates in a sequence of steps, elegantly choreographed to ensure the seamless integration of the DNA strands:
Hybridizing: The journey begins with hybridization, where two disparate DNA sequences are masterfully combined to forge a new, unprecedented genetic sequence.
Splicing: Following hybridization, the art of splicing takes center stage. This delicate process involves the precise editing of the DNA, removing or rearranging specific segments to sculpt the desired genetic traits of the amalgamated DNA.
Fusing: In this critical phase, the hybridized and spliced DNA strands are permanently fused. This fusion creates a robust, unified DNA strand, a harmonious blend of the individual genetic codes.
Integrating: The grand finale of the process is the integration of this newly minted DNA. The integrated DNA may be inserted into a living organism or a specialized genetic system, symbolizing the convergence of biology and technology.
It is essential to note that this depiction simplifies an inherently complex and nuanced process. Each step demands a high level of precision, skill, and deep understanding of molecular biology and genetics. This workflow not only represents a technical achievement but also poses profound ethical and philosophical questions about the nature of life and identity in the age of advanced genetic engineering.
Here is an output of the workflow as a YouTube Short video.
How to use this workflow
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-To fuse the DNA from two individuals, upload a picture of each person to be fused into the respective loader.
-Additionally, you must load the Controlnet_depth Map into the appropriate loader.
(You can download the depth map from the gallery)
-Next, set the age of the clone to be generated.
-Now, you need to specify the Save and Load folders.
Start the fusion process by clicking on generate.
Once the process is complete, click on generate again to create a video of the process.
Tips about this workflow
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You can adjust the speed of the video through the framerate settings.
Geschätzter VRAM Bedarf
Schätzung nicht verfügbar
8,97 GB über 4 von 8 Modell-Dateien. Gesamtmodell-Dateien + 25% Ladeaufwand + 2 GB Ausführungs-Puffer, aufgerundet.
Anforderungen
50 AnforderungenControlNet · 4.66 GB · Hugging Face · SargeZT/controlnet-sd-xl-1.0-depth-16bit-zoe
GFPGANv1.4.pth
Nicht aufgelöstCheckpoint · Unknown
inswapper_128.onnx
Nicht aufgelöstCheckpoint · Unknown
LoRA · 808 MB · Hugging Face · h94/IP-Adapter
juggernautXL_version5.safetensors
Nicht aufgelöstCheckpoint · Unknown
Vision model · 3.20 GB · Hugging Face · Ananthusajeev190/Venomoussaversai
rife46.pth
Nicht aufgelöstCheckpoint · Unknown
VAE · 319 MB · Hugging Face · stabilityai/sdxl-vae
Knotenpaket · Unknown
CheckpointLoaderSimple
MöglichKnotenpaket · Unknown
CLIPSetLastLayer
MöglichKnotenpaket · Unknown
CLIPTextEncodeSDXL
MöglichKnotenpaket · Unknown
CLIPVisionLoader
MöglichKnotenpaket · Unknown
ControlNetApply
MöglichKnotenpaket · Unknown
ControlNetLoader
MöglichKnotenpaket · Unknown
Knotenpaket · Unknown
Knotenpaket · Unknown
Knotenpaket · Unknown
Knotenpaket · Unknown
Knotenpaket · Unknown
Knotenpaket · Unknown
Knotenpaket · Unknown
Knotenpaket · Unknown
EmptyImage
MöglichKnotenpaket · Unknown
EmptyLatentImage
MöglichKnotenpaket · Unknown
Image Rembg (Remove Background)
GefundenKnotenpaket · Unknown
Image scale to side
Nicht aufgelöstKnotenpaket · Unknown
Image To Mask
MöglichKnotenpaket · Unknown
Knotenpaket · Unknown
InvertMask
MöglichKnotenpaket · Unknown
IPAdapterApplyEncoded
Nicht aufgelöstKnotenpaket · Unknown
IPAdapterEncoder
MöglichKnotenpaket · Unknown
IPAdapterModelLoader
MöglichKnotenpaket · Unknown
KSampler (Efficient)
MöglichKnotenpaket · Unknown
LoadImage
MöglichKnotenpaket · Unknown
Knotenpaket · Unknown
MaskToImage
MöglichKnotenpaket · Unknown
Knotenpaket · Unknown
Knotenpaket · Unknown
PrepImageForClipVision
MöglichKnotenpaket · Unknown
PreviewImage
MöglichKnotenpaket · Unknown
Knotenpaket · Unknown
RIFE VFI
MöglichKnotenpaket · Unknown
Knotenpaket · Unknown
Seed Generator
MöglichKnotenpaket · Unknown
Knotenpaket · Unknown
Knotenpaket · Unknown
VAELoader
MöglichKnotenpaket · Unknown
VHS_LoadImagesPath
MöglichKnotenpaket · Unknown
VHS_VideoCombine
MöglichKnotenpaket · Unknown
