Instructions to use saik0s/comfy_backup with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- llama-cpp-python
How to use saik0s/comfy_backup with llama-cpp-python:
# !pip install llama-cpp-python from llama_cpp import Llama llm = Llama.from_pretrained( repo_id="saik0s/comfy_backup", filename="ComfyUI/models/text_encoders/gemma-3-12b-it-q2_k.gguf", )
llm.create_chat_completion( messages = "No input example has been defined for this model task." )
- Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- llama.cpp
How to use saik0s/comfy_backup 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 saik0s/comfy_backup:Q4_K_S # Run inference directly in the terminal: llama cli -hf saik0s/comfy_backup:Q4_K_S
Install from WinGet (Windows)
winget install llama.cpp # Start a local OpenAI-compatible server with a web UI: llama serve -hf saik0s/comfy_backup:Q4_K_S # Run inference directly in the terminal: llama cli -hf saik0s/comfy_backup:Q4_K_S
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 saik0s/comfy_backup:Q4_K_S # Run inference directly in the terminal: ./llama-cli -hf saik0s/comfy_backup:Q4_K_S
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 saik0s/comfy_backup:Q4_K_S # Run inference directly in the terminal: ./build/bin/llama-cli -hf saik0s/comfy_backup:Q4_K_S
Use Docker
docker model run hf.co/saik0s/comfy_backup:Q4_K_S
- LM Studio
- Jan
- Ollama
How to use saik0s/comfy_backup with Ollama:
ollama run hf.co/saik0s/comfy_backup:Q4_K_S
- Unsloth Studio
How to use saik0s/comfy_backup 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 saik0s/comfy_backup 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 saik0s/comfy_backup to start chatting
Using HuggingFace Spaces for Unsloth
# No setup required # Open https://huggingface.co/spaces/unsloth/studio in your browser # Search for saik0s/comfy_backup to start chatting
- Pi
How to use saik0s/comfy_backup with Pi:
Start the llama.cpp server
# Install llama.cpp: brew install llama.cpp # Start a local OpenAI-compatible server: llama serve -hf saik0s/comfy_backup:Q4_K_S
Configure the model in Pi
# Install Pi: npm install -g @mariozechner/pi-coding-agent # Add to ~/.pi/agent/models.json: { "providers": { "llama-cpp": { "baseUrl": "http://localhost:8080/v1", "api": "openai-completions", "apiKey": "none", "models": [ { "id": "saik0s/comfy_backup:Q4_K_S" } ] } } }Run Pi
# Start Pi in your project directory: pi
- Hermes Agent new
How to use saik0s/comfy_backup with Hermes Agent:
Start the llama.cpp server
# Install llama.cpp: brew install llama.cpp # Start a local OpenAI-compatible server: llama serve -hf saik0s/comfy_backup:Q4_K_S
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 saik0s/comfy_backup:Q4_K_S
Run Hermes
hermes
- Atomic Chat new
- OpenClaw new
How to use saik0s/comfy_backup with OpenClaw:
Start the llama.cpp server
# Install llama.cpp: brew install llama.cpp # Start a local OpenAI-compatible server: llama serve -hf saik0s/comfy_backup:Q4_K_S
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 "saik0s/comfy_backup:Q4_K_S" \ --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"
- Docker Model Runner
How to use saik0s/comfy_backup with Docker Model Runner:
docker model run hf.co/saik0s/comfy_backup:Q4_K_S
- Lemonade
How to use saik0s/comfy_backup with Lemonade:
Pull the model
# Download Lemonade from https://lemonade-server.ai/ lemonade pull saik0s/comfy_backup:Q4_K_S
Run and chat with the model
lemonade run user.comfy_backup-Q4_K_S
List all available models
lemonade list
| <template> | |
| <div class="flex flex-col gap-4"> | |
| <div v-if="editable" class="flex flex-col gap-4"> | |
| <ResponseSelect v-if="!baseInfo.type" v-model="type" :items="typeOptions"> | |
| <template #prefix> | |
| <span>{{ $t('modelType') }}</span> | |
| </template> | |
| </ResponseSelect> | |
| <div class="flex gap-2 overflow-hidden"> | |
| <div class="flex-1 overflow-hidden rounded bg-gray-500/30"> | |
| <div class="flex h-full items-center justify-end"> | |
| <span class="overflow-hidden text-ellipsis whitespace-nowrap px-2"> | |
| {{ renderedModelFolder }} | |
| </span> | |
| </div> | |
| </div> | |
| <Button | |
| icon="pi pi-folder" | |
| :disabled="!type" | |
| @click="handleSelectFolder" | |
| ></Button> | |
| <Dialog | |
| v-model:visible="folderSelectVisible" | |
| :header="$t('folder')" | |
| :auto-z-index="false" | |
| :pt:mask:style="{ zIndex }" | |
| :pt:root:style="{ height: '50vh', maxWidth: '50vw' }" | |
| pt:content:class="flex-1" | |
| > | |
| <div class="flex h-full flex-col overflow-hidden"> | |
| <div class="flex-1 overflow-hidden"> | |
| <ResponseScroll> | |
| <Tree | |
| class="h-full" | |
| v-model:selection-keys="modelFolder" | |
| :value="pathOptions" | |
| selectionMode="single" | |
| :pt:nodeLabel:class="'text-ellipsis overflow-hidden'" | |
| ></Tree> | |
| </ResponseScroll> | |
| </div> | |
| <div class="flex justify-end gap-2"> | |
| <Button | |
| :label="$t('cancel')" | |
| severity="secondary" | |
| @click="handleCancelSelectFolder" | |
| ></Button> | |
| <Button | |
| :label="$t('select')" | |
| @click="handleConfirmSelectFolder" | |
| ></Button> | |
| </div> | |
| </div> | |
| </Dialog> | |
| </div> | |
| <ResponseInput | |
| v-model.trim.valid="basename" | |
| class="-mr-2 text-right" | |
| update-trigger="blur" | |
| :validate="validateBasename" | |
| > | |
| <template #suffix> | |
| <span class="text-base opacity-60"> | |
| {{ extension }} | |
| </span> | |
| </template> | |
| </ResponseInput> | |
| </div> | |
| <table class="w-full table-fixed border-collapse border"> | |
| <colgroup> | |
| <col class="w-32" /> | |
| <col /> | |
| </colgroup> | |
| <tbody> | |
| <tr | |
| v-for="item in information" | |
| :key="item.key" | |
| class="h-8 whitespace-nowrap border-b" | |
| > | |
| <td class="border-r bg-gray-300 px-4 dark:bg-gray-800"> | |
| {{ $t(`info.${item.key}`) }} | |
| </td> | |
| <td | |
| class="overflow-hidden text-ellipsis break-all px-4" | |
| v-tooltip.top="{ | |
| value: item.display, | |
| disabled: !['pathIndex', 'basename'].includes(item.key), | |
| autoHide: false, | |
| showDelay: 800, | |
| hideDelay: 300, | |
| pt: { root: { style: { zIndex: 2100, maxWidth: '32rem' } } }, | |
| }" | |
| > | |
| {{ item.display }} | |
| </td> | |
| </tr> | |
| </tbody> | |
| </table> | |
| </div> | |
| </template> | |
| <script setup lang="ts"> | |
| import ResponseInput from 'components/ResponseInput.vue' | |
| import ResponseScroll from 'components/ResponseScroll.vue' | |
| import ResponseSelect from 'components/ResponseSelect.vue' | |
| import { useDialog } from 'hooks/dialog' | |
| import { useModelBaseInfo, useModelFolder } from 'hooks/model' | |
| import { useToast } from 'hooks/toast' | |
| import Button from 'primevue/button' | |
| import { usePrimeVue } from 'primevue/config' | |
| import Dialog from 'primevue/dialog' | |
| import Tree from 'primevue/tree' | |
| import { computed, ref, watch } from 'vue' | |
| const editable = defineModel<boolean>('editable') | |
| const { toast } = useToast() | |
| const { | |
| baseInfo, | |
| pathIndex, | |
| subFolder, | |
| basename, | |
| extension, | |
| type, | |
| modelFolders, | |
| } = useModelBaseInfo() | |
| watch(type, () => { | |
| subFolder.value = '' | |
| }) | |
| const typeOptions = computed(() => { | |
| return Object.keys(modelFolders.value).map((curr) => { | |
| return { | |
| value: curr, | |
| label: curr, | |
| command: () => { | |
| type.value = curr | |
| pathIndex.value = 0 | |
| }, | |
| } | |
| }) | |
| }) | |
| const information = computed(() => { | |
| return Object.values(baseInfo.value).filter((row) => { | |
| if (editable.value) { | |
| const hiddenKeys = ['basename', 'pathIndex'] | |
| return !hiddenKeys.includes(row.key) | |
| } | |
| return true | |
| }) | |
| }) | |
| const validateBasename = (val: string | undefined) => { | |
| if (!val) { | |
| toast.add({ | |
| severity: 'error', | |
| detail: 'basename is required', | |
| life: 3000, | |
| }) | |
| return false | |
| } | |
| const invalidChart = /[\\/:*?"<>|]/ | |
| if (invalidChart.test(val)) { | |
| toast.add({ | |
| severity: 'error', | |
| detail: 'basename is invalid, \\/:*?"<>|', | |
| life: 3000, | |
| }) | |
| return false | |
| } | |
| return true | |
| } | |
| const folderSelectVisible = ref(false) | |
| const { stack } = useDialog() | |
| const { config } = usePrimeVue() | |
| const zIndex = computed(() => { | |
| const baseZIndex = config.zIndex?.modal ?? 1100 | |
| return baseZIndex + stack.value.length + 1 | |
| }) | |
| const handleSelectFolder = () => { | |
| if (!type.value) { | |
| toast.add({ | |
| severity: 'error', | |
| summary: 'Error', | |
| detail: 'Please select model type first', | |
| life: 5000, | |
| }) | |
| return | |
| } | |
| folderSelectVisible.value = true | |
| } | |
| const { pathOptions } = useModelFolder({ type }) | |
| const selectedModelFolder = ref<string>() | |
| const modelFolder = computed({ | |
| get: () => { | |
| const folderPath = baseInfo.value.pathIndex.display | |
| const selectedKey = selectedModelFolder.value ?? folderPath | |
| return { [selectedKey]: true } | |
| }, | |
| set: (val) => { | |
| const folderPath = Object.keys(val)[0] | |
| selectedModelFolder.value = folderPath | |
| }, | |
| }) | |
| const renderedModelFolder = computed(() => { | |
| return baseInfo.value.pathIndex?.display | |
| }) | |
| const handleCancelSelectFolder = () => { | |
| selectedModelFolder.value = undefined | |
| folderSelectVisible.value = false | |
| } | |
| const handleConfirmSelectFolder = () => { | |
| const folderPath = Object.keys(modelFolder.value)[0] | |
| const folders = modelFolders.value[type.value] | |
| pathIndex.value = folders.findIndex((item) => folderPath.includes(item)) | |
| if (pathIndex.value < 0) { | |
| toast.add({ | |
| severity: 'error', | |
| detail: 'Folder not found', | |
| life: 3000, | |
| }) | |
| return | |
| } | |
| const prefixPath = folders[pathIndex.value] | |
| subFolder.value = folderPath.replace(prefixPath, '') | |
| if (subFolder.value.startsWith('/')) { | |
| subFolder.value = subFolder.value.replace('/', '') | |
| } | |
| selectedModelFolder.value = undefined | |
| folderSelectVisible.value = false | |
| } | |
| </script> | |