Text-to-Image
GGUF
English
wan 2.2
text to image
upscale
inpainting
controlnet
depth
canny
redux
comfyui
flux
krea
sdxl
kontext
nunchuka
Instructions to use MaxedOut/ComfyUI-Starter-Packs with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- llama-cpp-python
How to use MaxedOut/ComfyUI-Starter-Packs with llama-cpp-python:
# !pip install llama-cpp-python from llama_cpp import Llama llm = Llama.from_pretrained( repo_id="MaxedOut/ComfyUI-Starter-Packs", filename="Flux1/clip/GGUF/t5xxl_Q5_K_M.gguf", )
output = llm( "Once upon a time,", max_tokens=512, echo=True ) print(output)
- Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- llama.cpp
How to use MaxedOut/ComfyUI-Starter-Packs with llama.cpp:
Install from brew
brew install llama.cpp # Start a local OpenAI-compatible server with a web UI: llama-server -hf MaxedOut/ComfyUI-Starter-Packs:Q4_K_M # Run inference directly in the terminal: llama-cli -hf MaxedOut/ComfyUI-Starter-Packs:Q4_K_M
Install from WinGet (Windows)
winget install llama.cpp # Start a local OpenAI-compatible server with a web UI: llama-server -hf MaxedOut/ComfyUI-Starter-Packs:Q4_K_M # Run inference directly in the terminal: llama-cli -hf MaxedOut/ComfyUI-Starter-Packs:Q4_K_M
Use pre-built binary
# Download pre-built binary from: # https://github.com/ggerganov/llama.cpp/releases # Start a local OpenAI-compatible server with a web UI: ./llama-server -hf MaxedOut/ComfyUI-Starter-Packs:Q4_K_M # Run inference directly in the terminal: ./llama-cli -hf MaxedOut/ComfyUI-Starter-Packs:Q4_K_M
Build from source code
git clone https://github.com/ggerganov/llama.cpp.git cd llama.cpp cmake -B build cmake --build build -j --target llama-server llama-cli # Start a local OpenAI-compatible server with a web UI: ./build/bin/llama-server -hf MaxedOut/ComfyUI-Starter-Packs:Q4_K_M # Run inference directly in the terminal: ./build/bin/llama-cli -hf MaxedOut/ComfyUI-Starter-Packs:Q4_K_M
Use Docker
docker model run hf.co/MaxedOut/ComfyUI-Starter-Packs:Q4_K_M
- LM Studio
- Jan
- Ollama
How to use MaxedOut/ComfyUI-Starter-Packs with Ollama:
ollama run hf.co/MaxedOut/ComfyUI-Starter-Packs:Q4_K_M
- Unsloth Studio
How to use MaxedOut/ComfyUI-Starter-Packs with Unsloth Studio:
Install Unsloth Studio (macOS, Linux, WSL)
curl -fsSL https://unsloth.ai/install.sh | sh # Run unsloth studio unsloth studio -H 0.0.0.0 -p 8888 # Then open http://localhost:8888 in your browser # Search for MaxedOut/ComfyUI-Starter-Packs to start chatting
Install Unsloth Studio (Windows)
irm https://unsloth.ai/install.ps1 | iex # Run unsloth studio unsloth studio -H 0.0.0.0 -p 8888 # Then open http://localhost:8888 in your browser # Search for MaxedOut/ComfyUI-Starter-Packs to start chatting
Using HuggingFace Spaces for Unsloth
# No setup required # Open https://huggingface.co/spaces/unsloth/studio in your browser # Search for MaxedOut/ComfyUI-Starter-Packs to start chatting
- Docker Model Runner
How to use MaxedOut/ComfyUI-Starter-Packs with Docker Model Runner:
docker model run hf.co/MaxedOut/ComfyUI-Starter-Packs:Q4_K_M
- Lemonade
How to use MaxedOut/ComfyUI-Starter-Packs with Lemonade:
Pull the model
# Download Lemonade from https://lemonade-server.ai/ lemonade pull MaxedOut/ComfyUI-Starter-Packs:Q4_K_M
Run and chat with the model
lemonade run user.ComfyUI-Starter-Packs-Q4_K_M
List all available models
lemonade list
Update README.md
Browse files
README.md
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│ ├── RealESRGAN_x2plus.pth
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</details>
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##
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- UNETs: Dev, Schnell, Depth, Canny, Fill
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- GGUFs: Q3/Q5/Q6 + FP8
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- CLIP + T5XXL encoders
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- Checkpoints: Inpainting models, Hyper3d (Merged created by Maxed Out) and Sdxl Real Dream 6
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- ControlNets: Depth, Canny, OpenPose, etc.
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---
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## 👇 Showcase
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🧠 Depth:
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Flux Depth uses the depth map of an image, letting you prompt for what to fill it with. It's great for keeping the spatial layout while restyling the image however you want.
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✏️ Canny:
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Flux Canny uses an edge map and also lets you prompt freely. It’s especially good for repurposing parts of an image like the planet in the first example.
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🕺 OpenPose:
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Self-explanatory. It’s great when you don’t want Depth or Canny getting distracted by other elements in the original image.
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🫠 Pulid Face Transfer
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Pulid lets you use a face as a reference and prompt as usual. The result will keep a rough match of the reference face. It’s pretty solid without needing any training, though not perfect. As you can see, it struggled with Aloy’s hair.
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🔄 Redux
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│ ├── RealESRGAN_x2plus.pth
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</details>
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## New to ComfyUI or just want clean workflows?
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Flux:
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[Available on the Maxed Out Patreon (free, no paywall)](https://www.patreon.com/posts/flux-level-1-and-131945103?utm_medium=clipboard_copy&utm_source=copyLink&utm_campaign=postshare_creator&utm_content=join_link)
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SDXL:
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[Available on the Maxed Out Patreon (free, no paywall)](https://www.patreon.com/posts/sdxl-v1-5-just-129782694?utm_medium=clipboard_copy&utm_source=copyLink&utm_campaign=postshare_creator&utm_content=join_link)
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---
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## 👇 Showcase
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## 🧠 Depth:
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Flux Depth uses the depth map of an image, letting you prompt for what to fill it with. It's great for keeping the spatial layout while restyling the image however you want.
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## ✏️ Canny:
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Flux Canny uses an edge map and also lets you prompt freely. It’s especially good for repurposing parts of an image like the planet in the first example.
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##🕺 OpenPose:
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Self-explanatory. It’s great when you don’t want Depth or Canny getting distracted by other elements in the original image.
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## 🫠 Pulid Face Transfer
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Pulid lets you use a face as a reference and prompt as usual. The result will keep a rough match of the reference face. It’s pretty solid without needing any training, though not perfect. As you can see, it struggled with Aloy’s hair.
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## 🔄 Redux
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Use the style of one image to influence another.
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