Instructions to use bbbboiwow/cocccck with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use bbbboiwow/cocccck with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("bbbboiwow/cocccck", dtype=torch.bfloat16, device_map="cuda") prompt = "Astronaut in a jungle, cold color palette, muted colors, detailed, 8k" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
| # ComfyUI Roop Custom Nodes | |
| Custom nodes for ComfyUI to enable face swapping using the Roop library. | |
| Features | |
| - Face swap between two images | |
| - Optional face enhancement | |
| - Batch image folder processing | |
| - Face swap for videos | |
| - Webhook sender for images (tensor) or file paths | |
| - Auto-increment filenames to prevent overwriting | |
| ## Node Descriptions | |
| RoopFaceSwap | |
| - Basic face swap using source and target image tensors | |
| - Returns a single swapped image tensor | |
| RoopFaceSwapWithEnhancer | |
| - Like RoopFaceSwap but also runs a face enhancer after swapping | |
| - Useful for improving visual quality | |
| RoopBatchFaceSwap | |
| - Takes a source image and a folder of input images | |
| - Applies face swap to each and saves results to an output folder | |
| - Supports enhancement and multi-face mode | |
| RoopFaceSwapVideo | |
| - Swaps a face from an image into a video file | |
| - Keeps original FPS and frames | |
| - Saves a new video file | |
| RoopSendWebhookImage | |
| - Sends an image tensor to a webhook URL | |
| - Accepts optional secret for HMAC verification | |
| - Ideal for live image results | |
| RoopSendWebhookFile | |
| - Sends a file path (e.g. video or saved image) to a webhook | |
| - Supports HMAC-secured sending | |
| - Useful for post-processing delivery | |
| ## Requirements | |
| - Python 3.8+ | |
| - torch | |
| - torchvision | |
| - Pillow (PIL) | |
| - requests | |
| - roop (clone from GitHub) | |
| ## Installation | |
| 1. Clone this repo into your ComfyUI custom nodes folder: | |
| git clone https://github.com/glitchinthemetrix16/ComfyUI-Roop | |
| 2. Install required Python packages: | |
| pip install torch torchvision pillow requests | |
| 3. Clone the roop repo for Google Colab Environment: | |
| git clone https://github.com/FurkanGozukara/roop /content/roop | |
| 4. Ensure that run.py exists in /content/roop | |
| ## Installation For Google Colab With T4 GPU (Tested and working) | |
| ``` | |
| %cd /content/ | |
| !git clone https://github.com/FurkanGozukara/roop | |
| %cd roop | |
| #Tested and updated 23 August 2023 commit | |
| #!git checkout da1ef285f1d43bd0cc8b9cdb9a0f80f7ae793a97 | |
| !pip install onnxruntime-gpu && pip install -r requirements.txt | |
| !pip install onnxruntime-gpu --upgrade | |
| !apt-get update --yes | |
| !apt install nvidia-cuda-toolkit --yes | |
| !pip install opennsfw2 keras --upgrade | |
| !pip install numpy==1.26.4 | |
| ``` | |
| Usage Notes | |
| - All temporary files are saved inside roop_dir/temp_io | |
| - File overwrites are avoided via auto-renaming | |
| - Video swapping works best with shorter clips due to performance | |
| - Webhook nodes allow sending output to remote servers or APIs |