Instructions to use Soul25r/rosto-raiva with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Soul25r/rosto-raiva 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", torch_dtype=torch.bfloat16, device_map="cuda") pipe.load_lora_weights("Soul25r/rosto-raiva") prompt = "The man begins with a neutral expression. His expression changes to 4ngr23 angry face, and he starts yelling. He then throws his arms up while making the 4ngr23 angry face." 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 man begins with a neutral expression. His expression changes to 4ngr23 angry face, and he starts yelling. He then throws his arms up while making the 4ngr23 angry face. | |
| output: | |
| url: example_videos/1.mp4 | |
| - text: >- | |
| The video starts with a man looking at the camera with a neutral face. Then his facial expression changes to 4ngr23 angry face, and he begins to yell with clenched fists. | |
| output: | |
| url: example_videos/2.mp4 | |
| - text: >- | |
| The video starts with a man looking forward with a neutral expression. Then his facial expression turns to 4ngr23 angry face, clenching his fists. The man then begins yelling and making the 4ngr23 angry face. | |
| output: | |
| url: example_videos/3.mp4 | |
| <div style="background-color: #f8f9fa; padding: 20px; border-radius: 10px; margin-bottom: 20px;"> | |
| <h1 style="color: #24292e; margin-top: 0;">Angry Face 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 yourself or your friends angry!</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>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://remade.ai/join-discord?utm_source=Huggingface&utm_medium=Social&utm_campaign=model_release&utm_content=angry_face" 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: | |
| - [angry_face_5_epochs.safetensors](./angry_face_5_epochs.safetensors) - LoRA Model File | |
| - [wan_img2vid_lora_workflow.json](./workflow_I2V/wan_img2vid_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;">4ngr23 angry face</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 prompting, check out the example prompts; this way of prompting seems to work very well.</p> | |
| <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> | |
| <img src="./workflow_I2V/workflow_screenshot.png" style="width: 100%; border-radius: 8px; margin: 15px 0; box-shadow: 0 4px 8px rgba(0,0,0,0.1);"> | |
| <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 50 seconds of video comprised of 11 short clips (each clip captioned separately) of people being angry.</li> | |
| <li><b> Epochs:</b> 5</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> |