ComfyUI Models & Workflows Repository
This repository hosts a curated collection of ComfyUI workflows, Flux Kontext foundation models, GGUF quants, SDXL checkpoints, and LoRAs.
- Source Volume:
comfyui(vo-JkzAbsxlXNZocsQDRIOIbY) - Total Assets: 125 files (~119.87 GB)
- Updated at: 2026-09-17 09:19:07 UTC
π Repository Contents
1. Foundation Models & Checkpoints
| File Path | Size | Description |
|---|---|---|
models/diffusion_models/flux1-kontext-dev.safetensors |
22.17 GB | Full precision Flux Kontext Dev |
models/diffusion_models/flux1-dev-kontext_fp8_scaled.safetensors |
11.09 GB | Scaled FP8 Flux Kontext Dev |
models/gguf/flux1-kontext-dev-Q8_0.gguf |
11.84 GB | Q8_0 GGUF Quantized |
models/gguf/flux1-kontext-dev-Q6_K.gguf |
9.17 GB | Q6_K GGUF Quantized |
models/gguf/flux1-kontext-dev-Q5_K_M.gguf |
7.84 GB | Q5_K_M GGUF Quantized |
models/gguf/flux1-kontext-dev-Q4_K_M.gguf |
6.46 GB | Q4_K_M GGUF Quantized |
models/clip/t5xxl_fp8_e4m3fn_scaled.safetensors |
4.80 GB | T5XXL Text Encoder (Scaled) |
models/clip/clip_l.safetensors |
234.7 MB | CLIP-L Text Encoder |
models/vae/ae.safetensors |
319.8 MB | Flux Autoencoder (VAE) |
2. Workflows (19 Workflows)
- Found under
workflows/:workflows/Flux_kontext/(Kontext 3D scene, character migration, relighting, etc.)workflows/TY/(Background + model workflows)
3. LoRAs (92 LoRA Models)
- Found under
models/loras/:- Style LoRAs: Ghibli, Synthwave, Pixel, Paper cut, Oil painting, Retro manga.
- Functional LoRAs: Relighting, Pose control, Deblur, High-res fix, Background replacement.
π How to Use in ComfyUI
- Download the required model to your local or cloud ComfyUI directory:
# Example: Download via huggingface-cli
huggingface-cli download zAura-xec/comfyui models/diffusion_models/flux1-dev-kontext_fp8_scaled.safetensors --local-dir /path/to/ComfyUI/models/diffusion_models --local-dir-use-symlinks False
- Load any workflow JSON from
workflows/directly in ComfyUI by dragging and dropping the file into the canvas.
- Downloads last month
- 436
Hardware compatibility
Log In to add your hardware
2-bit
3-bit
4-bit
5-bit
6-bit
8-bit