Instructions to use Remade-AI/Super-Saiyan with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Remade-AI/Super-Saiyan with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline from diffusers.utils import load_image, export_to_video # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("Wan-AI/Wan2.1-I2V-14B-480P,Wan-AI/Wan2.1-I2V-14B-480P-Diffusers", dtype=torch.bfloat16, device_map="cuda") pipe.load_lora_weights("Remade-AI/Super-Saiyan") prompt = "A man with short hair and a beard clenches his fists, staring forward. His hair brightens to glowing yellow, spiking up as gold energy surges around his body. The background pulses with yellow light, and sparks crackle in the air during his 5up3r super saiyan transformation, real life style." input_image = load_image("https://huggingface.co/datasets/huggingface/documentation-images/resolve/main/diffusers/guitar-man.png") image = pipe(image=input_image, prompt=prompt).frames[0] export_to_video(output, "output.mp4") - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
Lora training to adapt the fight scenes of dragonball
#1
by Bisre - opened
I am training Lora of wan2.1,14B I2V using 58 5 second clips from dragon ball brolly full movie, learning rate is 2e-5 and it has trained and overfit at around 50 epochs, I tried the best epoch lora model but the results are not satisfactory, what am I doing wrong, any advice on how to get the best result