Instructions to use Remade-AI/VIP with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Remade-AI/VIP 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/VIP") prompt = "The video begins with an image of purple Thanos from Marvel. Then the v1p red carpet transformation appears. Purple Thanos is shown wearing a black dress, with gold jewelry around his neck and ears. The image is again of purple Thanos looking straight at the camera against a more lighted gray background. The v1p red carpet transformation continues, purple Thanos is now on the red carpet with photographers taking pictures and other people behind a barricade to the sides. Purple Thanos is wearing the same black dress and jewelry, in focus at the center of the frame. " 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
| license: apache-2.0 | |
| language: | |
| - en | |
| base_model: | |
| - Wan-AI/Wan2.1-I2V-14B-480P | |
| - Wan-AI/Wan2.1-I2V-14B-480P-Diffusers | |
| pipeline_tag: image-to-video | |
| tags: | |
| - text-to-image | |
| - lora | |
| - diffusers | |
| - template:diffusion-lora | |
| - image-to-video | |
| widget: | |
| - text: >- | |
| The video begins with an image of purple Thanos from Marvel. Then the v1p red carpet transformation appears. Purple Thanos is shown wearing a black dress, with gold jewelry around his neck and ears. The image is again of purple Thanos looking straight at the camera against a more lighted gray background. The v1p red carpet transformation continues, purple Thanos is now on the red carpet with photographers taking pictures and other people behind a barricade to the sides. Purple Thanos is wearing the same black dress and jewelry, in focus at the center of the frame. | |
| output: | |
| url: example_videos/thanos_vip.mp4 | |
| - text: >- | |
| The video begins with an image of a man. Then the v1p red carpet transformation appears. He is shown wearing a black dress, with gold jewelry around his neck and ears. The image is again of him looking straight at the camera against a more lighted gray background. The v1p red carpet transformation continues, he is now on the red carpet with photographers taking pictures and other people behind a barricade to the sides. He is wearing the same black dress and jewelry, in focus at the center of the frame. | |
| output: | |
| url: example_videos/man_vip.mp4 | |
| <div style="background-color: #f8f9fa; padding: 20px; border-radius: 10px; margin-bottom: 20px;"> | |
| <h1 style="color: #24292e; margin-top: 0;">VIP Red Carpet Effect LoRA for Wan2.1 14B I2V 480p</h1> | |
| <div style="background-color: white; padding: 15px; border-radius: 8px; margin: 15px 0; box-shadow: 0 2px 4px rgba(0,0,0,0.1);"> | |
| <h2 style="color: #24292e; margin-top: 0;">Overview</h2> | |
| <p>This LoRA is trained on the Wan2.1 14B I2V 480p model and allows you to make any person/object in an image become a female VIP version of themselves!</p> | |
| </div> | |
| <div style="background-color: white; padding: 15px; border-radius: 8px; margin: 15px 0; box-shadow: 0 2px 4px rgba(0,0,0,0.1);"> | |
| <h2 style="color: #24292e; margin-top: 0;">Features</h2> | |
| <ul style="margin-bottom: 0;"> | |
| <li>Transform any image into a video of the subject as a female VIP version of themselves!</li> | |
| <li>Trained on the Wan2.1 14B 480p I2V base model</li> | |
| <li>Consistent results across different object types</li> | |
| <li>Simple prompt structure that's easy to adapt</li> | |
| </ul> | |
| </div> | |
| <div style="background-color: white; padding: 15px; border-radius: 8px; margin: 15px 0; box-shadow: 0 2px 4px rgba(0,0,0,0.1);"> | |
| <h2 style="color: #24292e; margin-top: 0;">Community</h2> | |
| <ul style="margin-bottom: 0;"> | |
| <li><b>Discord:</b> <a href="https://discord.com/invite/7tsKMCbNFC" style="color: #0366d6; text-decoration: none;">Join our community</a> to generate videos with this LoRA for free</li> | |
| <li><b>Request LoRAs:</b> We're training and open-sourcing Wan2.1 LoRAs for free - join our Discord to make requests!</li> | |
| </ul> | |
| </div> | |
| </div> | |
| <Gallery /> | |
| # Model File and Inference Workflow | |
| ## 📥 Download Links: | |
| - [vip_50_epochs.safetensors](./vip_50_epochs.safetensors) - LoRA Model File | |
| - [wan_I2V_LoRA_workflow.json](./wan_I2V_LoRA_workflow.json) - Wan I2V with LoRA Workflow for ComfyUI | |
| --- | |
| <div style="background-color: #f8f9fa; padding: 20px; border-radius: 10px; margin-bottom: 20px;"> | |
| <div style="background-color: white; padding: 15px; border-radius: 8px; margin: 15px 0; box-shadow: 0 2px 4px rgba(0,0,0,0.1);"> | |
| <h2 style="color: #24292e; margin-top: 0;">Recommended Settings</h2> | |
| <ul style="margin-bottom: 0;"> | |
| <li><b>LoRA Strength:</b> 1.0</li> | |
| <li><b>Embedded Guidance Scale:</b> 6.0</li> | |
| <li><b>Flow Shift:</b> 5.0</li> | |
| </ul> | |
| </div> | |
| <div style="background-color: white; padding: 15px; border-radius: 8px; margin: 15px 0; box-shadow: 0 2px 4px rgba(0,0,0,0.1);"> | |
| <h2 style="color: #24292e; margin-top: 0;">Trigger Words</h2> | |
| <p>The key trigger phrase is: <code style="background-color: #f0f0f0; padding: 3px 6px; border-radius: 4px;"> v1p red carpet transformation</code></p> | |
| </div> | |
| <div style="background-color: white; padding: 15px; border-radius: 8px; margin: 15px 0; box-shadow: 0 2px 4px rgba(0,0,0,0.1);"> | |
| <h2 style="color: #24292e; margin-top: 0;">Prompt Template</h2> | |
| <p>For best results, try following the structure of the prompt examples above. These worked well for me.</p> | |
| </div> | |
| <div style="background-color: white; padding: 15px; border-radius: 8px; margin: 15px 0; box-shadow: 0 2px 4px rgba(0,0,0,0.1);"> | |
| <h2 style="color: #24292e; margin-top: 0;">ComfyUI Workflow</h2> | |
| <p>This LoRA works with a modified version of <a href="https://github.com/kijai/ComfyUI-WanVideoWrapper/blob/main/example_workflows/wanvideo_480p_I2V_example_02.json" style="color: #0366d6; text-decoration: none;">Kijai's Wan Video Wrapper workflow</a>. The main modification is adding a Wan LoRA node connected to the base model.</p> | |
| <p>See the Downloads section above for the modified workflow.</p> | |
| </div> | |
| </div> | |
| <div style="background-color: #f8f9fa; padding: 20px; border-radius: 10px; margin-bottom: 20px;"> | |
| <div style="background-color: white; padding: 15px; border-radius: 8px; margin: 15px 0; box-shadow: 0 2px 4px rgba(0,0,0,0.1);"> | |
| <h2 style="color: #24292e; margin-top: 0;">Model Information</h2> | |
| <p>The model weights are available in Safetensors format. See the Downloads section above.</p> | |
| </div> | |
| <div style="background-color: white; padding: 15px; border-radius: 8px; margin: 15px 0; box-shadow: 0 2px 4px rgba(0,0,0,0.1);"> | |
| <h2 style="color: #24292e; margin-top: 0;">Training Details</h2> | |
| <ul style="margin-bottom: 0;"> | |
| <li><b>Base Model:</b> Wan2.1 14B I2V 480p</li> | |
| <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 female VIP version of themselves!</li> | |
| <li><b>Epochs:</b> 50</li> | |
| </ul> | |
| </div> | |
| <div style="background-color: white; padding: 15px; border-radius: 8px; margin: 15px 0; box-shadow: 0 2px 4px rgba(0,0,0,0.1);"> | |
| <h2 style="color: #24292e; margin-top: 0;">Additional Information</h2> | |
| <p>Training was done using <a href="https://github.com/tdrussell/diffusion-pipe" style="color: #0366d6; text-decoration: none;">Diffusion Pipe for Training</a></p> | |
| </div> | |
| <div style="background-color: white; padding: 15px; border-radius: 8px; margin: 15px 0; box-shadow: 0 2px 4px rgba(0,0,0,0.1);"> | |
| <h2 style="color: #24292e; margin-top: 0;">Acknowledgments</h2> | |
| <p style="margin-bottom: 0;">Special thanks to Kijai for the ComfyUI Wan Video Wrapper and tdrussell for the training scripts!</p> | |
| </div> | |
| </div> |