pip install -U diffusers transformers accelerate
import torch
from diffusers import DiffusionPipeline
# switch to "mps" for apple devices
pipe = DiffusionPipeline.from_pretrained("fill-in-base-model", dtype=torch.bfloat16, device_map="cuda")
pipe.load_lora_weights("Nesslovver/Wan_v-e")
prompt = "-"
image = pipe(prompt).images[0]YAML Metadata Error:"base_model" is not allowed to be empty
Wanv.e.
- Prompt
- -
- Prompt
- -
Model description
Character lora for t2v low noise. Epoch7
Trigger words
You should use Vane$$@ to trigger the image generation.
Download model
Download them in the Files & versions tab.
- Downloads last month
- -
# Gated model: Login with a HF token with gated access permission hf auth login