Text-to-Video
Diffusers
Safetensors
WanDMDPipeline
diffusion
video-generation
turbodiffusion
wan2.1
8-bit precision
import torch
from diffusers import DiffusionPipeline
# switch to "mps" for apple devices
pipe = DiffusionPipeline.from_pretrained("IPostYellow/TurboWan2.1-T2V-14B-720P-INT8-Diffusers", dtype=torch.bfloat16, device_map="cuda")
prompt = "Astronaut in a jungle, cold color palette, muted colors, detailed, 8k"
image = pipe(prompt).images[0]convert TurboWan2.1-T2V-14B-720P quant (https://modelscope.cn/models/TurboDiffusion/TurboWan2.1-T2V-14B-720P) to TurboWan2.1-T2V-14B-720P-INT8-Diffusers
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Model tree for IPostYellow/TurboWan2.1-T2V-14B-720P-INT8-Diffusers
Base model
Wan-AI/Wan2.1-T2V-14B Finetuned
TurboDiffusion/TurboWan2.1-T2V-14B-720P