NVIDIA RTX 3090 / RTX 4090 (24GB VRAM) Note: You will likely need to use aggressive offloading to system RAM, or utilize optimized UI wrappers like ComfyUI to fit the generation pipeline into 24GB.
On a single A100, generating a 4-second 720p video at 24fps (96 frames) takes approximately 12-18 minutes using typical DDIM samplers. On dual 4090s, expect 25-30 minutes.
I can provide a tailored installation guide or optimization strategy! Share public link
# Load your source anchor image init_image = load_image("path_to_your_input_image.png") # Define prompt directing the motion prompt = "Cinematic slow motion, waves crashing against the rocks, detailed water droplets, dramatic lighting, 8k resolution" negative_prompt = "static, low quality, distorted anatomy, fast cuts, text, watermark" # Generate video frames video_frames = pipeline( prompt=prompt, negative_prompt=negative_prompt, image=init_image, num_frames=81, # Standard length for Wan2.1 video clips height=720, width=1280, guidance_scale=6.0, num_inference_steps=50, generator=torch.manual_seed(42) ).frames Use code with caution. Optimization Strategies for Peak Quality wan2.1 i2v 720p 14b fp16.safetensors
: Defines the output resolution, offering high-definition video (1280 × 720).
A high-end GPU is essential. Users often report utilizing 32GB+ VRAM for comfortable generation with full FP16 precision.
huggingface-cli download Comfy-Org/Wan_2.1_ComfyUI_repackaged split_files/text_encoders/umt5_xxl_fp8_e4m3fn_scaled.safetensors --local-dir ./ComfyUI/models/text_encoders/ NVIDIA RTX 3090 / RTX 4090 (24GB VRAM)
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: Generally exceeds the capacity of standard consumer GPUs (like the RTX 4090/5090) when used alongside high-resolution text encoders and VAEs in a single workflow. Recommendation : Many users opt for FP8 or GGUF (quantized) versions to fit the model into 24GB VRAM. Performance
🎯 Likely the authors found FP16 necessary for temporal coherence in 14B i2v. I can provide a tailored installation guide or
Demystifying Wan2.1-I2V-720P-14B-FP16.safetensors: The Next Frontier in Image-to-Video AI Generation
wan2.1 i2v 720p 14b fp16.safetensors is a technical masterpiece and a logistical hurdle. It is designed for three specific user profiles: