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🛠️ Manual Download – Flux Level 1, 2, & Mega
🕑 Added 2025-06-18 22:30:25 +0000 UTCThis guide covers everything, whether you're a free user here for Level 1 & 2, or a Power User / Keyholder setting up Mega manually.
⚠️ Mega users: You get a One‑Click Installer that auto-detects RAM & VRAM and downloads exactly what you need. No manual setup needed.
But if you want to do it manually, this guide walks you through every required file.
How this works:
Free users → Go through everything up to the "⚡ Only for Mega Workflow" section.
Mega users → Everything, plus the Mega-only section.
Mega includes Level 1 & 2, so don’t skip ahead.
📥 Core Files
💾 Right-click any file link → choose "Save Link As..." → Save into the mentioned folder. All folders are in ComfyUI/models/. Workflow Level 2 needs everything from Level 1.
🎯 Always Download:
1️⃣ Bootcamp (Level 1):
navi_flux_v1.safetensors ➡️ loras (Test out my avatar Lora 🙂)
RealESRGAN_x2plus.pth ➡️ upscale_models
4x-UltraSharp.pth ➡️ upscale_models
ae.safetensors ➡️ vae
2️⃣ Advanced (Level 2):
sam_vit_b_01ec64.pth ➡️ sams
face_yolov8m.pt ➡️ ultralytics/bbox
hand_yolov8s.pt ➡️ ultralytics/bbox
📎 CLIP Models
💾 Save all into models/clip
🎯 Always Download:
🖱️ Choose One Tier:
🔶 Tier A (32GB+ RAM, not VRAM)
🔶 Tier B (16GB RAM, not VRAM)
🔶 Tier C (less than 16GB RAM, not VRAM)
🧠 Diffusion Models (Choose One Tier)
💾 Save these files into models/diffusion_models.
🔶 Tier A (16GB+ VRAM – fp8)
1️⃣ Bootcamp (Level 1):
2️⃣ Advanced (Level 2):
🔶 Tier B (12 GB VRAM – Q5 GGUF)
1️⃣ Bootcamp (Level 1):
2️⃣ Advanced (Level 2):
🔶 Tier C (Less than 12GB VRAM – Q3/Q4 GGUF)
1️⃣ Bootcamp (Level 1):
2️⃣ Advanced (Level 2):
⚡ Only for Mega Workflow (Level 3)
🎯 Always Download:
sigclip_vision_patch14_384.safetensors ➡️ clip_vision
flux_shakker_labs_union_pro-fp8.safetensors ➡️ controlnet
codeformer.pth ➡️ facerestore_models
GFPGANv1.4.pth ➡️ facerestore_models
pulid_flux_v0.9.1.safetensors ➡️ pulid
flux1-redux-dev.safetensors ➡️ style_models
🖱️ Choose One Tier:
🔶 Tier A (16GB+ VRAM – fp8)
flux1-canny-dev-fp8.safetensors ➡️ diffusion_models
flux1-depth-dev-fp8.safetensors ➡️ diffusion_models
🔶 Tier B (12 GB VRAM – Q5 GGUF)
flux1-canny-dev-Q5_0.gguf ➡️ diffusion_models
flux1-depth-dev-Q5_0.gguf ➡️ diffusion_models
🔶 Tier C (Less than 12GB VRAM – Q3/Q4 GGUF)
flux1-canny-dev-Q4_0.gguf ➡️ diffusion_models
flux1-depth-dev-Q4_0.gguf ➡️ diffusion_models
✅ Done!
📦 Extra Dependencies (Mega Only)
Some Mega-only nodes (Reactor, Pulid, etc.) need extra libraries.
Open your ComfyUI folder (where .venv is located).
Right-click in the folder → Open in Terminal.
Run these commands in order:
1. Activate venv:
.venv\Scripts\activate
2. Install facexlib:
python -m pip install facexlib
3. Install insightface (Windows wheel):
python -m pip install "https://huggingface.co/MaxedOut/ComfyUI-Starter-Packs/resolve/main/Misc/insightface-0.7.3-cp312-cp312-win_amd64.whl"
🔷 How to Use My LoRA (Avatar Test)
LoRA: navi_flux_v1.safetensors
Recommended Strength: 1.0
Trigger Words:
na'vi (apostrophe is crucial)
blue skin
male or female (each image was tagged with male or female. Use one.)
Example: na'vi female riding a bike, blue skin
LoRA guide coming soon, you ask? Perhaps. 🙂
Comments
Max
Unet and diffusion models are the same thing. I just mistakenly thought gguf must go into the unet folder. It definitely will still work tho. 🙂
Valentin ES-punkt
diffusion_models are only defined for the tier A?
