Instructions to use aktrm123as/WAN_2.2_Loras with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

Notebooks
Google Colab
Kaggle
Local Apps Settings

How to use aktrm123as/WAN_2.2_Loras with llama.cpp:

Install (macOS, Linux)

curl -LsSf https://llama.app/install.sh | sh
# Start a local OpenAI-compatible server with a web UI:
llama serve -hf aktrm123as/WAN_2.2_Loras:Q8_0
# Run inference directly in the terminal:
llama cli -hf aktrm123as/WAN_2.2_Loras:Q8_0

Install from WinGet (Windows)

winget install llama.cpp
# Start a local OpenAI-compatible server with a web UI:
llama serve -hf aktrm123as/WAN_2.2_Loras:Q8_0
# Run inference directly in the terminal:
llama cli -hf aktrm123as/WAN_2.2_Loras:Q8_0

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 aktrm123as/WAN_2.2_Loras:Q8_0
# Run inference directly in the terminal:
./llama-cli -hf aktrm123as/WAN_2.2_Loras:Q8_0

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 aktrm123as/WAN_2.2_Loras:Q8_0
# Run inference directly in the terminal:
./build/bin/llama-cli -hf aktrm123as/WAN_2.2_Loras:Q8_0

Use Docker

docker model run hf.co/aktrm123as/WAN_2.2_Loras:Q8_0

LM Studio
Jan
Ollama
How to use aktrm123as/WAN_2.2_Loras with Ollama:
```
ollama run hf.co/aktrm123as/WAN_2.2_Loras:Q8_0
```

Unsloth Studio

How to use aktrm123as/WAN_2.2_Loras 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 aktrm123as/WAN_2.2_Loras 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 aktrm123as/WAN_2.2_Loras to start chatting

Using HuggingFace Spaces for Unsloth

# No setup required
# Open https://huggingface.co/spaces/unsloth/studio in your browser
# Search for aktrm123as/WAN_2.2_Loras to start chatting

Docker Model Runner
How to use aktrm123as/WAN_2.2_Loras with Docker Model Runner:
```
docker model run hf.co/aktrm123as/WAN_2.2_Loras:Q8_0
```

Lemonade

How to use aktrm123as/WAN_2.2_Loras with Lemonade:

Pull the model

# Download Lemonade from https://lemonade-server.ai/
lemonade pull aktrm123as/WAN_2.2_Loras:Q8_0

Run and chat with the model

lemonade run user.WAN_2.2_Loras-Q8_0

List all available models

lemonade list

Atomic Chat

aktrm123as commited on Nov 17, 2025

Commit

f97ed0b

verified ·

1 Parent(s): 5a17793

Upload 4 files

Browse files

Files changed (4) hide show

Licking Breasts_high_noise.safetensors +3 -0
Licking Breasts_low_noise.safetensors +3 -0
mql_massage_tits_wan22_i2v_v1_high_noise.safetensors +3 -0
mql_massage_tits_wan22_i2v_v1_low_noise.safetensors +3 -0

Licking Breasts_high_noise.safetensors ADDED Viewed

	@@ -0,0 +1,3 @@

+version https://git-lfs.github.com/spec/v1
+oid sha256:1f4af37d0c827542fe96612dc95970cc37d791ead89de4fb8aeca3e919b2a262
+size 306808368

Licking Breasts_low_noise.safetensors ADDED Viewed

	@@ -0,0 +1,3 @@

+version https://git-lfs.github.com/spec/v1
+oid sha256:e3b657678331d866f20b9fa7074236f6286661e5cce74da48c5e55c47de3fdbd
+size 306808368

mql_massage_tits_wan22_i2v_v1_high_noise.safetensors ADDED Viewed

	@@ -0,0 +1,3 @@

+version https://git-lfs.github.com/spec/v1
+oid sha256:8ad6b18be9a8333c5a312167aac8aa223a395ebf4a1493ed2f3213d17db2a58d
+size 306808408

mql_massage_tits_wan22_i2v_v1_low_noise.safetensors ADDED Viewed

	@@ -0,0 +1,3 @@

+version https://git-lfs.github.com/spec/v1
+oid sha256:b04aed102ffc4bbba7ec9d52eece2507d33b6574838684731bbc47842004a763
+size 306808408