metadata
tags:
- image-to-video
- lora
- diffusers
- template:sd-lora
- ai-toolkit
base_model: Wan-AI/Wan2.1-T2V-14B-Diffusers
license: creativeml-openrail-m
inference:
parameters:
width: 1024
height: 1024
instance_prompt: SCROAD64
MB_FOREST_ROAD_wan-2-1-lora
Model trained with AI Toolkit by Ostris
Trigger words
You should use SCROAD64 to trigger the image generation.
Download model and use it with ComfyUI, AUTOMATIC1111, SD.Next, Invoke AI, etc.
Weights for this model are available in Safetensors format.
Download them in the Files & versions tab.
Use it with the 🧨 diffusers library
from diffusers import AutoPipelineForText2Image
import torch
pipeline = AutoPipelineForText2Image.from_pretrained('Wan-AI/Wan2.1-T2V-14B-Diffusers', torch_dtype=torch.float16).to('cuda')
pipeline.load_lora_weights('Crowbar-Dub/MB_FOREST_ROAD_wan-2-1-lora', weight_name='MB_FOREST_ROAD_wan-2-1_000002000.safetensors')
image = pipeline('SCROAD64').images[0]
image.save("my_image.png")
For more details, including weighting, merging and fusing LoRAs, check the documentation on loading LoRAs in diffusers