Instructions to use TechCarbasa/MyModels with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- llama.cpp
How to use TechCarbasa/MyModels 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 TechCarbasa/MyModels:Q5_0 # Run inference directly in the terminal: llama cli -hf TechCarbasa/MyModels:Q5_0
Install from WinGet (Windows)
winget install llama.cpp # Start a local OpenAI-compatible server with a web UI: llama serve -hf TechCarbasa/MyModels:Q5_0 # Run inference directly in the terminal: llama cli -hf TechCarbasa/MyModels:Q5_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 TechCarbasa/MyModels:Q5_0 # Run inference directly in the terminal: ./llama-cli -hf TechCarbasa/MyModels:Q5_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 TechCarbasa/MyModels:Q5_0 # Run inference directly in the terminal: ./build/bin/llama-cli -hf TechCarbasa/MyModels:Q5_0
Use Docker
docker model run hf.co/TechCarbasa/MyModels:Q5_0
- LM Studio
- Jan
- Ollama
How to use TechCarbasa/MyModels with Ollama:
ollama run hf.co/TechCarbasa/MyModels:Q5_0
- Unsloth Desktop
- Pi
How to use TechCarbasa/MyModels with Pi:
Start the llama.cpp server
# Install llama.cpp: brew install llama.cpp # Start a local OpenAI-compatible server: llama serve -hf TechCarbasa/MyModels:Q5_0
Configure the model in Pi
# Install Pi: npm install -g @earendil-works/pi-coding-agent # Add to ~/.pi/agent/models.json: { "providers": { "llama-cpp": { "baseUrl": "http://localhost:8080/v1", "api": "openai-completions", "apiKey": "none", "models": [ { "id": "TechCarbasa/MyModels:Q5_0" } ] } } }Run Pi
# Start Pi in your project directory: pi
- Docker Model Runner
How to use TechCarbasa/MyModels with Docker Model Runner:
docker model run hf.co/TechCarbasa/MyModels:Q5_0
- Lemonade
How to use TechCarbasa/MyModels with Lemonade:
Pull the model
# Download Lemonade from https://lemonade-server.ai/ lemonade pull TechCarbasa/MyModels:Q5_0
Run and chat with the model
lemonade run user.MyModels-Q5_0
List all available models
lemonade list
- Hermes Agent
How to use TechCarbasa/MyModels with Hermes Agent:
Start the llama.cpp server
# Install llama.cpp: brew install llama.cpp # Start a local OpenAI-compatible server: llama serve -hf TechCarbasa/MyModels:Q5_0
Configure Hermes
# Install Hermes: curl -fsSL https://hermes-agent.nousresearch.com/install.sh | bash hermes setup # Point Hermes at the local server: hermes config set model.provider custom hermes config set model.base_url http://127.0.0.1:8080/v1 hermes config set model.default TechCarbasa/MyModels:Q5_0
Run Hermes
hermes
- Atomic Chat
- OpenClaw
How to use TechCarbasa/MyModels with OpenClaw:
Start the llama.cpp server
# Install llama.cpp: brew install llama.cpp # Start a local OpenAI-compatible server: llama serve -hf TechCarbasa/MyModels:Q5_0
Configure OpenClaw
# Install OpenClaw: npm install -g openclaw@latest # Register the local server and set it as the default model: openclaw onboard --non-interactive --mode local \ --auth-choice custom-api-key \ --custom-base-url http://127.0.0.1:8080/v1 \ --custom-model-id "TechCarbasa/MyModels:Q5_0" \ --custom-provider-id llama-cpp \ --custom-compatibility openai \ --custom-text-input \ --accept-risk \ --skip-health
Run OpenClaw
openclaw agent --local --agent main --message "Hello from Hugging Face"
Upload Wan2.2Sound2Vid_API.json
Browse files
workflows/Wan2.2Sound2Vid_API.json
ADDED
|
@@ -0,0 +1,269 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"3": {
|
| 3 |
+
"inputs": {
|
| 4 |
+
"seed": 330064159980720,
|
| 5 |
+
"steps": 4,
|
| 6 |
+
"cfg": 1,
|
| 7 |
+
"sampler_name": "uni_pc",
|
| 8 |
+
"scheduler": "simple",
|
| 9 |
+
"denoise": 1,
|
| 10 |
+
"model": [
|
| 11 |
+
"54",
|
| 12 |
+
0
|
| 13 |
+
],
|
| 14 |
+
"positive": [
|
| 15 |
+
"55",
|
| 16 |
+
0
|
| 17 |
+
],
|
| 18 |
+
"negative": [
|
| 19 |
+
"55",
|
| 20 |
+
1
|
| 21 |
+
],
|
| 22 |
+
"latent_image": [
|
| 23 |
+
"55",
|
| 24 |
+
2
|
| 25 |
+
]
|
| 26 |
+
},
|
| 27 |
+
"class_type": "KSampler",
|
| 28 |
+
"_meta": {
|
| 29 |
+
"title": "KSampler"
|
| 30 |
+
}
|
| 31 |
+
},
|
| 32 |
+
"6": {
|
| 33 |
+
"inputs": {
|
| 34 |
+
"text": "INPUTPROMPT",
|
| 35 |
+
"clip": [
|
| 36 |
+
"70",
|
| 37 |
+
1
|
| 38 |
+
]
|
| 39 |
+
},
|
| 40 |
+
"class_type": "CLIPTextEncode",
|
| 41 |
+
"_meta": {
|
| 42 |
+
"title": "CLIP Text Encode (Positive Prompt)"
|
| 43 |
+
}
|
| 44 |
+
},
|
| 45 |
+
"7": {
|
| 46 |
+
"inputs": {
|
| 47 |
+
"text": "色调艳丽,过曝,静态,细节模糊不清,字幕,风格,作品,画作,画面,静止,整体发灰,最差质量,低质量,JPEG压缩残留,丑陋的,残缺的,多余的手指,画得不好的手部,画得不好的脸部,畸形的,毁容的,形态畸形的肢体,手指融合,静止不动的画面,杂乱的背景,三条腿,背景人很多,倒着走",
|
| 48 |
+
"clip": [
|
| 49 |
+
"70",
|
| 50 |
+
1
|
| 51 |
+
]
|
| 52 |
+
},
|
| 53 |
+
"class_type": "CLIPTextEncode",
|
| 54 |
+
"_meta": {
|
| 55 |
+
"title": "CLIP Text Encode (Negative Prompt)"
|
| 56 |
+
}
|
| 57 |
+
},
|
| 58 |
+
"8": {
|
| 59 |
+
"inputs": {
|
| 60 |
+
"samples": [
|
| 61 |
+
"3",
|
| 62 |
+
0
|
| 63 |
+
],
|
| 64 |
+
"vae": [
|
| 65 |
+
"39",
|
| 66 |
+
0
|
| 67 |
+
]
|
| 68 |
+
},
|
| 69 |
+
"class_type": "VAEDecode",
|
| 70 |
+
"_meta": {
|
| 71 |
+
"title": "VAE Decode"
|
| 72 |
+
}
|
| 73 |
+
},
|
| 74 |
+
"37": {
|
| 75 |
+
"inputs": {
|
| 76 |
+
"unet_name": "split_files/diffusion_models/wan2.2_s2v_14B_bf16.safetensors",
|
| 77 |
+
"weight_dtype": "default"
|
| 78 |
+
},
|
| 79 |
+
"class_type": "UNETLoader",
|
| 80 |
+
"_meta": {
|
| 81 |
+
"title": "Load Diffusion Model"
|
| 82 |
+
}
|
| 83 |
+
},
|
| 84 |
+
"38": {
|
| 85 |
+
"inputs": {
|
| 86 |
+
"clip_name": "split_files/text_encoders/umt5_xxl_fp16.safetensors",
|
| 87 |
+
"type": "wan",
|
| 88 |
+
"device": "default"
|
| 89 |
+
},
|
| 90 |
+
"class_type": "CLIPLoader",
|
| 91 |
+
"_meta": {
|
| 92 |
+
"title": "Load CLIP"
|
| 93 |
+
}
|
| 94 |
+
},
|
| 95 |
+
"39": {
|
| 96 |
+
"inputs": {
|
| 97 |
+
"vae_name": "split_files/vae/wan_2.1_vae.safetensors"
|
| 98 |
+
},
|
| 99 |
+
"class_type": "VAELoader",
|
| 100 |
+
"_meta": {
|
| 101 |
+
"title": "Load VAE"
|
| 102 |
+
}
|
| 103 |
+
},
|
| 104 |
+
"52": {
|
| 105 |
+
"inputs": {
|
| 106 |
+
"image": "STARTIMAGE"
|
| 107 |
+
},
|
| 108 |
+
"class_type": "LoadImage",
|
| 109 |
+
"_meta": {
|
| 110 |
+
"title": "Load Image"
|
| 111 |
+
}
|
| 112 |
+
},
|
| 113 |
+
"54": {
|
| 114 |
+
"inputs": {
|
| 115 |
+
"shift": 8,
|
| 116 |
+
"model": [
|
| 117 |
+
"70",
|
| 118 |
+
0
|
| 119 |
+
]
|
| 120 |
+
},
|
| 121 |
+
"class_type": "ModelSamplingSD3",
|
| 122 |
+
"_meta": {
|
| 123 |
+
"title": "ModelSamplingSD3"
|
| 124 |
+
}
|
| 125 |
+
},
|
| 126 |
+
"55": {
|
| 127 |
+
"inputs": {
|
| 128 |
+
"width": "INPUTWIDTH",
|
| 129 |
+
"height": "INPUTHEIGHT",
|
| 130 |
+
"length": "INPUTLENGTH",
|
| 131 |
+
"batch_size": 1,
|
| 132 |
+
"positive": [
|
| 133 |
+
"6",
|
| 134 |
+
0
|
| 135 |
+
],
|
| 136 |
+
"negative": [
|
| 137 |
+
"7",
|
| 138 |
+
0
|
| 139 |
+
],
|
| 140 |
+
"vae": [
|
| 141 |
+
"39",
|
| 142 |
+
0
|
| 143 |
+
],
|
| 144 |
+
"audio_encoder_output": [
|
| 145 |
+
"56",
|
| 146 |
+
0
|
| 147 |
+
],
|
| 148 |
+
"ref_image": [
|
| 149 |
+
"52",
|
| 150 |
+
0
|
| 151 |
+
]
|
| 152 |
+
},
|
| 153 |
+
"class_type": "WanSoundImageToVideo",
|
| 154 |
+
"_meta": {
|
| 155 |
+
"title": "WanSoundImageToVideo"
|
| 156 |
+
}
|
| 157 |
+
},
|
| 158 |
+
"56": {
|
| 159 |
+
"inputs": {
|
| 160 |
+
"audio_encoder": [
|
| 161 |
+
"57",
|
| 162 |
+
0
|
| 163 |
+
],
|
| 164 |
+
"audio": [
|
| 165 |
+
"72",
|
| 166 |
+
0
|
| 167 |
+
]
|
| 168 |
+
},
|
| 169 |
+
"class_type": "AudioEncoderEncode",
|
| 170 |
+
"_meta": {
|
| 171 |
+
"title": "AudioEncoderEncode"
|
| 172 |
+
}
|
| 173 |
+
},
|
| 174 |
+
"57": {
|
| 175 |
+
"inputs": {
|
| 176 |
+
"audio_encoder_name": "split_files/audio_encoders/wav2vec2_large_english_fp16.safetensors"
|
| 177 |
+
},
|
| 178 |
+
"class_type": "AudioEncoderLoader",
|
| 179 |
+
"_meta": {
|
| 180 |
+
"title": "Load Audio Encoder"
|
| 181 |
+
}
|
| 182 |
+
},
|
| 183 |
+
"58": {
|
| 184 |
+
"inputs": {
|
| 185 |
+
"audio": "INPUTAUDIO"
|
| 186 |
+
},
|
| 187 |
+
"class_type": "LoadAudio",
|
| 188 |
+
"_meta": {
|
| 189 |
+
"title": "Load Audio"
|
| 190 |
+
}
|
| 191 |
+
},
|
| 192 |
+
"70": {
|
| 193 |
+
"inputs": {
|
| 194 |
+
"PowerLoraLoaderHeaderWidget": {
|
| 195 |
+
"type": "PowerLoraLoaderHeaderWidget"
|
| 196 |
+
},
|
| 197 |
+
"lora_1": {
|
| 198 |
+
"on": true,
|
| 199 |
+
"lora": "Wan21_I2V_14B_lightx2v_cfg_step_distill_lora_rank64.safetensors",
|
| 200 |
+
"strength": 1
|
| 201 |
+
},
|
| 202 |
+
"➕ Add Lora": "",
|
| 203 |
+
"model": [
|
| 204 |
+
"37",
|
| 205 |
+
0
|
| 206 |
+
],
|
| 207 |
+
"clip": [
|
| 208 |
+
"38",
|
| 209 |
+
0
|
| 210 |
+
]
|
| 211 |
+
},
|
| 212 |
+
"class_type": "Power Lora Loader (rgthree)",
|
| 213 |
+
"_meta": {
|
| 214 |
+
"title": "Power Lora Loader (rgthree)"
|
| 215 |
+
}
|
| 216 |
+
},
|
| 217 |
+
"72": {
|
| 218 |
+
"inputs": {
|
| 219 |
+
"start_time": "0:00",
|
| 220 |
+
"end_time": "INPUTSECONDS",
|
| 221 |
+
"audio": [
|
| 222 |
+
"58",
|
| 223 |
+
0
|
| 224 |
+
]
|
| 225 |
+
},
|
| 226 |
+
"class_type": "AudioCrop",
|
| 227 |
+
"_meta": {
|
| 228 |
+
"title": "AudioCrop"
|
| 229 |
+
}
|
| 230 |
+
},
|
| 231 |
+
"94": {
|
| 232 |
+
"inputs": {
|
| 233 |
+
"value": "INPUTFPS"
|
| 234 |
+
},
|
| 235 |
+
"class_type": "FloatConstant",
|
| 236 |
+
"_meta": {
|
| 237 |
+
"title": "FPS"
|
| 238 |
+
}
|
| 239 |
+
},
|
| 240 |
+
"100": {
|
| 241 |
+
"inputs": {
|
| 242 |
+
"frame_rate": [
|
| 243 |
+
"94",
|
| 244 |
+
0
|
| 245 |
+
],
|
| 246 |
+
"loop_count": 0,
|
| 247 |
+
"filename_prefix": "content_gen/wan_s2v",
|
| 248 |
+
"format": "video/h264-mp4",
|
| 249 |
+
"pix_fmt": "yuv420p",
|
| 250 |
+
"crf": 19,
|
| 251 |
+
"save_metadata": true,
|
| 252 |
+
"trim_to_audio": true,
|
| 253 |
+
"pingpong": false,
|
| 254 |
+
"save_output": true,
|
| 255 |
+
"images": [
|
| 256 |
+
"8",
|
| 257 |
+
0
|
| 258 |
+
],
|
| 259 |
+
"audio": [
|
| 260 |
+
"72",
|
| 261 |
+
0
|
| 262 |
+
]
|
| 263 |
+
},
|
| 264 |
+
"class_type": "VHS_VideoCombine",
|
| 265 |
+
"_meta": {
|
| 266 |
+
"title": "Video Combine 🎥🅥🅗🅢"
|
| 267 |
+
}
|
| 268 |
+
}
|
| 269 |
+
}
|