✅ this one → Minimalist T2I Workflow for WAN Video 2.2 (Hugging Face)
Perfil de execução
Descrição da fonte
✅ 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...
Comentário gerado por IA
Explicação gerada por IA com base nos detalhes da fonte e da configuração. As sugestões são claramente identificadas.
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.
Sugestão · não verificado
No release version is provided for this workflow.
Isso precisa ser editado?
Faça login para enviar uma solicitação de edição.
Fontes
1 fonteTrechos de fonte
1 trechoSource 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 .
Estimativa de requisito VRAM
Estimativa indisponível
Os tamanhos de arquivos do modelo ainda não estão completos o suficiente para calcular este requisito.
Requisitos
Requisitos 18CLIPLoader
PossívelText encoder · Unknown
umt5_xxl_fp8_e4m3fn_scaled.safetensors
Arquivo não verificadoText encoder · Hugging Face · Comfy-Org/Wan_2.1_ComfyUI_repackaged · Comfy-Org/Wan_2.1_ComfyUI_repackaged · Hugging Face
VAEDecode
PossívelVAE · Unknown
VAELoader
PossívelVAE · Unknown
VAE · Hugging Face · Comfy-Org/Wan_2.2_ComfyUI_Repackaged
wan2.2_t2v_high_noise_14B_fp8_scaled.safetensors
Arquivo não verificadoCheckpoint · Hugging Face · Comfy-Org/Wan_2.2_ComfyUI_Repackaged · Wan Video 2.2
wan2.2_t2v_low_noise_14B_fp8_scaled.safetensors
Arquivo não verificadoCheckpoint · Hugging Face · Comfy-Org/Wan_2.2_ComfyUI_Repackaged · Wan Video 2.2
CLIPTextEncode
PossívelPacote de nós · Unknown
EmptySD3LatentImage
Não resolvidoPacote de nós · Unknown
GetNode
Não resolvidoPacote de nós · Unknown
Pacote de nós · Unknown
KSamplerAdvanced
PossívelPacote de nós · Unknown
MarkdownNote
Não resolvidoPacote de nós · Unknown
ModelSamplingSD3
Não resolvidoPacote de nós · Unknown
PreviewImage
PossívelPacote de nós · Unknown
SaveImage
PossívelPacote de nós · Unknown
SetNode
Não resolvidoPacote de nós · Unknown
UNETLoader
PossívelPacote de nós · Unknown