WAN Video 2.1 Text To Image Low VRAM(6GB)
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Description
I've put together a custom workflow that allows everyone to generate high-resolution 1024 × 1024 images in under 30 seconds on just 6 GB VRAM using the WAN 2.1 video generation model.
If you want a full walkthrough of the workflow and installation process—including manual setup, recommended
settings, and tips for both local and cloud deployment—check out my YouTube tutorial linked below:
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Versions (1)
- latest (2 months ago)
Node Details
Primitive Nodes (15)
CLIPLoaderGGUF (1)
EmptyHunyuanLatentVideo (1)
FastFilmGrain (1)
Label (rgthree) (3)
MarkdownNote (1)
ModelPatchTorchSettings (1)
ModelSamplingSD3 (1)
Note (2)
PathchSageAttentionKJ (1)
SkipLayerGuidanceDiT (1)
UnetLoaderGGUF (1)
WanVideoNAG (1)
Custom Nodes (17)
ComfyUI
- BasicGuider (1)
- RandomNoise (1)
- VAEDecode (1)
- ImageUpscaleWithModel (1)
- KSamplerSelect (1)
- BasicScheduler (1)
- UpscaleModelLoader (1)
- SamplerCustomAdvanced (1)
- VAELoader (1)
- LoraLoader (3)
- CLIPTextEncode (1)
- UNETLoader (1)
- SaveImage (1)
- easy cleanGpuUsed (1)
- easy clearCacheAll (1)
Model Details
Checkpoints (0)
LoRAs (3)
Wan2.1_T2V_14B_FusionX_LoRA.safetensors
Wan21_T2V_14B_lightx2v_cfg_step_distill_lora_rank32.safetensors
detailz-wan.safetensors