Instructions to use Remade-AI/Cats with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Remade-AI/Cats with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline from diffusers.utils import export_to_video # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("Wan-AI/Wan2.1-T2V-14B", dtype=torch.bfloat16, device_map="cuda") pipe.load_lora_weights("Remade-AI/Cats") prompt = "cat video A short-haired tabby cat sits on a wooden fence, watching a butterfly flutter in front of it. The cat's ears twitch as it slowly lifts a paw, trying to swipe at the insect. The butterfly lands on its nose for a moment before flying away, leaving the cat slightly confused." output = pipe(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-T2V-14B | |
| pipeline_tag: text-to-video | |
| tags: | |
| - text-to-video | |
| - text-to-image | |
| - lora | |
| - diffusers | |
| - template:diffusion-lora | |
| widget: | |
| - text: >- | |
| cat video A short-haired tabby cat sits on a wooden fence, watching a butterfly flutter in front of it. The cat's ears twitch as it slowly lifts a paw, trying to swipe at the insect. The butterfly lands on its nose for a moment before flying away, leaving the cat slightly confused. | |
| output: | |
| url: example_videos/cat1.mp4 | |
| - text: >- | |
| cat video A small orange kitten is jumping up at a dangling toy feather. Each time it leaps, it barely misses, but it keeps trying with determination. Its tail wiggles slightly before each jump, preparing for the next attempt. | |
| output: | |
| url: example_videos/cat2.mp4 | |
| - text: >- | |
| ca45t cat video The video features a grey Scottish Fold cat lying on a couch and licking its paw. The cat is lying on its side with its head turned towards the camera. It has a collar on. It is using its front paw to clean its ear. | |
| output: | |
| url: example_videos/cat3.mp4 | |
| - text: >- | |
| ca45t cat video A small, white, fluffy, kitten with blue eyes, that looks like a British shorthair, is walking on a grey couch with a white wall behind it. It walks a few steps, and stops to look at something off-camera to its right. Then it resumes walking. The kitten's tail is sticking straight up into the air as it walks. | |
| output: | |
| url: example_videos/cat4.mp4 | |
| <div style="background-color: #f8f9fa; padding: 20px; border-radius: 10px; margin-bottom: 20px;"> | |
| <h1 style="color: #24292e; margin-top: 0;">Cat LoRA for Wan2.1 14B T2V</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 T2V model and allows you to generate awesome videos of cats!</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 T2V 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: | |
| - [cats_10_epochs.safetensors](./cats_10_epochs.safetensors) - LoRA Model File | |
| - [wan_txt2vid_lora_workflow.json](./workflow/wan_txt2vid_lora_workflow.json) - Wan T2V 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;">ca45t cat video</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_T2V_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/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 T2V</li> | |
| <li><b>Training Data:</b> Trained on 2 minutes of video comprised of 27 short clips (each clip captioned separately) of cats.</li> | |
| <li><b> Epochs:</b> 10</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> |