Comfy-agent workflow_wan_2_2_t2i_14b_gguf_4_step_lora_upscale_2k_landscape
name: workflow_wan_2_2_t2i_14b_gguf_4_step_lora_upscale_2k_landscape
git clone https://github.com/steliosot/comfy-agent
skills/workflows/video_t2v_i2v_avatar/workflow_wan_2_2_t2i_14b_gguf_4_step_lora_upscale_2k_landscape/skill.yamlname: workflow_wan_2_2_t2i_14b_gguf_4_step_lora_upscale_2k_landscape description: Workflow wrapper for Wan 2.2 T2I 14b GGUF + 4 Step Lora + Upscale 2K Landscape.json inputs: prompt: type: string required: false negative_prompt: type: string required: false width: type: integer required: false height: type: integer required: false seed: type: integer required: false steps: type: integer required: false cfg: type: number required: false sampler_name: type: string required: false scheduler: type: string required: false denoise: type: number required: false server: type: string required: false headers: type: object required: false api_prefix: type: string required: false outputs: status: type: string prompt_id: type: string output_images: type: array requirements: models:
- type: diffusion_model name: Wan2.2-T2V-A14B-LowNoise-Q8_0.gguf target_folder: models/diffusion_models
- type: vae name: wan_2.1_vae.safetensors target_folder: models/vae
- type: clip name: umt5_xxl_fp8_e4m3fn_scaled.safetensors target_folder: models/clip
- type: upscale_model name: 4x_NMKD-Siax_200k.pth target_folder: models/upscale_models custom_nodes:
- ComfyUI-GGUF
- comfyui-easy-use
- comfyui-kjnodes
- rgthree-comfy links:
- https://discord.com/invite/gggpkVgBf3
- https://huggingface.co/Akumetsu971/SD_Anime_Futuristic_Armor/resolve/main/4x_NMKD-Siax_200k.pth?download=true
- https://huggingface.co/Comfy-Org/Wan_2.1_ComfyUI_repackaged/resolve/main/split_files/text_encoders/umt5_xxl_fp8_e4m3fn_scaled.safetensors?download=true
- https://huggingface.co/Comfy-Org/Wan_2.1_ComfyUI_repackaged/resolve/main/split_files/vae/wan_2.1_vae.safetensors?download=true
- https://huggingface.co/QuantStack/Wan2.2-T2V-A14B-GGUF/resolve/main/LowNoise/Wan2.2-T2V-A14B-LowNoise-Q8_0.gguf?download=true
- https://huggingface.co/QuantStack/Wan2.2-T2V-A14B-GGUF/tree/main/LowNoise
- https://huggingface.co/lightx2v/Wan2.2-Lightning/resolve/main/Wan2.2-T2V-A14B-4steps-lora-rank64-Seko-V1.1/low_noise_model.safetensors?download=true
- https://huggingface.co/lightx2v/Wan2.2-Lightning/tree/main/Wan2.2-T2V-A14B-4steps-lora-rank64-Seko-V1.1
- https://www.youtube.com/@pixaroma
- https://www.youtube.com/watch?v=CgLL5aoEX-s input_modalities:
- text_prompt output_modalities:
- image/png model_families:
- sd3
- wan node_count: 29 node_types:
- CLIPLoader
- CLIPTextEncode
- EmptyHunyuanLatentVideo
- Fast Groups Muter (rgthree)
- ImageScale
- ImageScaleBy
- ImageUpscaleWithModel
- KSampler
- Label (rgthree)
- MarkdownNote
- ModelSamplingSD3
- Power Lora Loader (rgthree)
- SaveImage
- UnetLoaderGGUF
- UpscaleModelLoader
- VAEDecode
- VAEEncode
- VAELoader
- WanVideoNAG
- easy cleanGpuUsed
- easy clearCacheAll selection_metadata: family: video_t2v_i2v_avatar resource_profile: very_high complexity_score: 9 estimated_runtime: heavy (can exceed 6 min; best on high-VRAM GPU) warnings:
- Large model(s) detected; ensure enough VRAM and disk space.
- Multiple custom nodes required; verify node installation/version compatibility.
- 'Video workflow: usually slower and VRAM-intensive than still-image workflows.' max_width: 1024 max_height: 576 max_steps: 8