Instructions to use Remade-AI/Classy with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Remade-AI/Classy 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/Classy") prompt = "The video starts with a man. The c1455y classy transformation occurs and the man is now wearing a light blue dress with spaghetti straps. He is holding a small white envelope and a flower in his hands. The man is smiling, and looking at the camera. His arm is resting on a wooden table, and the background is gold and brown. The man is seated." 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
- Draw Things
Update README.md
Browse files
README.md
CHANGED
|
@@ -99,7 +99,7 @@ widget:
|
|
| 99 |
<ul style="margin-bottom: 0;">
|
| 100 |
<li><b>Base Model:</b> Wan2.1 14B I2V 480p</li>
|
| 101 |
<li><b>Training Data:</b> Trained on 35 seconds of video comprised of 7 short clips (each clip captioned separately) of people transforming into a classy woman!</li>
|
| 102 |
-
<li><b>Epochs:</b>
|
| 103 |
</ul>
|
| 104 |
</div>
|
| 105 |
|
|
|
|
| 99 |
<ul style="margin-bottom: 0;">
|
| 100 |
<li><b>Base Model:</b> Wan2.1 14B I2V 480p</li>
|
| 101 |
<li><b>Training Data:</b> Trained on 35 seconds of video comprised of 7 short clips (each clip captioned separately) of people transforming into a classy woman!</li>
|
| 102 |
+
<li><b>Epochs:</b> 45</li>
|
| 103 |
</ul>
|
| 104 |
</div>
|
| 105 |
|