✅ this one → Minimalist T2I Workflow for WAN Video 2.2 (Hugging Face)
Laufzeitprofil
Quellenbeschreibung
✅ this one → Minimalist T2I Workflow for WAN Video 2.2 (Hugging Face)
✅ Minimalist First-Last Frame to Video Workflow for WAN Video 2.2 (Hugging Face)
🔜 Minimalist FMLF (First-Middle-Last Frame) + Multi Frame Ref To Video Workflow for WAN Video 2.2 (Coming Soon)
🔜 Join Videos (Snippets) – Track Operations, Python Scripting: Be a Storyteller - Seamless Narrative Chain (Coming Soon)
Minimalist T2I Workflow for Wan Video 2.2
A streamlined text-to-image workflow utilizing WAN Video 2.2's High and Low Noise models (14B fp8) for static image generation. This setup deliberately omits the Lighting LoRAs to focus on the base models' capabilities...
KI-generierter Kommentar
KI-generierte Erklärung auf Grundlage von Quellen- und Konfigurationsdetails. Vorschläge sind klar gekennzeichnet.
Minimalist T2I Workflow for WAN Video 2.2 is for generating static images from text prompts with WAN Video 2.2 high- and low-noise 14B FP8 models.
The listed components include PreviewImage and SaveImage for the described static-image output.
Input: a text prompt describing the image to generate.
Output: a static image, with PreviewImage and SaveImage listed among the components.
GegenDenTag publishes it on Civitai at https://civitai.com/models/2163207.
The page classifies it as Workflows and lists Wan Video 2.2 T2V-A14B as the base model.
The listed model files are umt5_xxl_fp8_e4m3fn_scaled.safetensors, wan_2.1_vae.safetensors, wan2.2_t2v_high_noise_14B_fp8_scaled.safetensors, and wan2.2_t2v_low_noise_14B_fp8_scaled.safetensors.
Core component names include CLIPLoader, CLIPTextEncode, EmptySD3LatentImage, GetNode, KSampler, ModelSamplingSD3, SetNode, and UNETLoader.
Additional component names are MarkdownNote, KSamplerAdvanced, PreviewImage, SaveImage, VAEDecode, and VAELoader.
The published setup omits Lighting LoRAs and additional conditioning through LoRAs and CNet.
It is described for evaluating how the base models represent artistic styles, techniques, and compositions.
Before using it, verify that your environment includes the named model files and components, including wan_2.1_vae.safetensors.
Vorschlag · nicht geprüft
No release version is provided for this workflow.
Muss das bearbeitet werden?
Melden Sie sich an, um eine Änderungsanfrage zu senden.
Quellen
1 QuelleQuellenauszüge
1 AuszugSource context: 197 downloads · Type Workflows · Base model Wan Video 2.2 T2V-A14B
Dare to click the image — opens fixed-size copy.
... Optimized for evaluating the ability to represent artistic styles, techniques, and compositions, without the complexity of additional conditioning through LoRAs and CNet.
Prompting, showcase of different art styles tested with this workflow
Dare to click — opens Civitai Collection .
Geschätzter VRAM Bedarf
Schätzung nicht verfügbar
Die Modell-Dateigrößen sind noch nicht vollständig genug, um diese Anforderung zu berechnen.
Anforderungen
18 AnforderungenCLIPLoader
MöglichText encoder · Unknown
umt5_xxl_fp8_e4m3fn_scaled.safetensors
Datei ungeprüftText encoder · Hugging Face · Comfy-Org/Wan_2.1_ComfyUI_repackaged · Comfy-Org/Wan_2.1_ComfyUI_repackaged · Hugging Face
VAEDecode
MöglichVAE · Unknown
VAELoader
MöglichVAE · Unknown
VAE · Hugging Face · Comfy-Org/Wan_2.2_ComfyUI_Repackaged
wan2.2_t2v_high_noise_14B_fp8_scaled.safetensors
Datei ungeprüftCheckpoint · Hugging Face · Comfy-Org/Wan_2.2_ComfyUI_Repackaged · Wan Video 2.2
wan2.2_t2v_low_noise_14B_fp8_scaled.safetensors
Datei ungeprüftCheckpoint · Hugging Face · Comfy-Org/Wan_2.2_ComfyUI_Repackaged · Wan Video 2.2
CLIPTextEncode
MöglichKnotenpaket · Unknown
EmptySD3LatentImage
Nicht aufgelöstKnotenpaket · Unknown
GetNode
Nicht aufgelöstKnotenpaket · Unknown
KSampler
Knotenpaket · Unknown
KSamplerAdvanced
MöglichKnotenpaket · Unknown
MarkdownNote
Nicht aufgelöstKnotenpaket · Unknown
ModelSamplingSD3
Nicht aufgelöstKnotenpaket · Unknown
PreviewImage
MöglichKnotenpaket · Unknown
SaveImage
MöglichKnotenpaket · Unknown
SetNode
Nicht aufgelöstKnotenpaket · Unknown
UNETLoader
MöglichKnotenpaket · Unknown