Sampler: LCM
Steps: 4-8
CFG: 1
Sigma-Shift 5
Original Model from Lightx2v converted to FP8 quantisation.
8 GB VRAM, 32 GB RAM
Sample times: <2 minutes for 81 frames, 4 steps on RTX 4070 Ti Super.
Compatible with 14B LoRAs.
If needed:
Clip/T5-Encoder: umt5_xxl_fp8_e4m3fn_scaled.safetensors
Wan 2.1 Lightspeed is a highly specialized Image generation AI Model of type Safetensors / Checkpoint AI Model created by AI community user darksidewalker. Derived from the powerful Stable Diffusion (Wan Video 14B t2v) model, Wan 2.1 Lightspeed has undergone an extensive fine-tuning process, leveraging the power of a dataset consisting of images generated by other AI models or user-contributed data. This fine-tuning process ensures that Wan 2.1 Lightspeed is capable of generating images that are highly relevant to the specific use-cases it was designed for, such as base model.
With a rating of 0 and over 0 ratings, Wan 2.1 Lightspeed is a popular choice among users for generating high-quality images from text prompts.
Yes! You can download the latest version of Wan 2.1 Lightspeed from here.
To use Wan 2.1 Lightspeed, download the model checkpoint file and set up an UI for running Stable Diffusion models (for example, AUTOMATIC1111). Then, provide the model with a detailed text prompt to generate an image. Experiment with different prompts and settings to achieve the desired results. If this sounds a bit complicated, check out our initial guide to Stable Diffusion – it might be of help. And if you really want to dive deep into AI image generation and understand how set up AUTOMATIC1111 to use Safetensors / Checkpoint AI Models like Wan 2.1 Lightspeed, check out our crash course in AI image generation.
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