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 h-full w-full select-none flex-col overflow-hidden" | |
| @contextmenu.prevent="nonContextMenu" | |
| > | |
| <div class="flex w-full gap-4 overflow-hidden px-4 pb-4"> | |
| <div :class="['flex gap-4 overflow-hidden', showToolbar || 'flex-1']"> | |
| <div class="flex overflow-hidden"> | |
| <Button | |
| icon="pi pi-arrow-up" | |
| text | |
| rounded | |
| severity="secondary" | |
| :disabled="folderPaths.length < 2" | |
| @click="handleGoBackParentFolder" | |
| ></Button> | |
| </div> | |
| <ResponseBreadcrumb | |
| v-show="!showToolbar" | |
| class="h-10 flex-1" | |
| :items="folderPaths" | |
| ></ResponseBreadcrumb> | |
| </div> | |
| <div :class="['flex gap-4', showToolbar && 'flex-1']"> | |
| <ResponseInput | |
| v-model="searchContent" | |
| :placeholder="$t('searchModels')" | |
| ></ResponseInput> | |
| <div | |
| v-show="showToolbar" | |
| class="flex flex-1 items-center justify-end gap-2" | |
| > | |
| <ResponseSelect | |
| v-model="sortOrder" | |
| :items="sortOrderOptions" | |
| ></ResponseSelect> | |
| <ResponseSelect | |
| v-model="cardSizeFlag" | |
| :items="cardSizeOptions" | |
| ></ResponseSelect> | |
| </div> | |
| <Button | |
| :icon="`mdi mdi-menu-${showToolbar ? 'close' : 'open'}`" | |
| text | |
| severity="secondary" | |
| @click="toggleToolbar" | |
| ></Button> | |
| </div> | |
| </div> | |
| <div | |
| ref="contentContainer" | |
| class="relative flex-1 overflow-hidden px-2" | |
| @contextmenu.stop.prevent="" | |
| > | |
| <ResponseScroll :items="renderedList" :item-size="itemSize"> | |
| <template #item="{ item }"> | |
| <div | |
| class="grid h-full justify-center" | |
| :style="{ | |
| gridTemplateColumns: `repeat(auto-fit, ${cardSize.width}px)`, | |
| columnGap: `${gutter.x}px`, | |
| rowGap: `${gutter.y}px`, | |
| }" | |
| > | |
| <ModelCard | |
| v-for="rowItem in item.row" | |
| :model="rowItem" | |
| :key="genModelKey(rowItem)" | |
| :style="{ | |
| width: `${cardSize.width}px`, | |
| height: `${cardSize.height}px`, | |
| }" | |
| v-tooltip.top="{ | |
| value: getFullPath(rowItem), | |
| disabled: folderPaths.length < 2, | |
| autoHide: false, | |
| showDelay: 800, | |
| hideDelay: 300, | |
| pt: { root: { style: { zIndex: 2100, maxWidth: '32rem' } } }, | |
| }" | |
| @dblclick="openItem(rowItem, $event)" | |
| @contextmenu.stop.prevent="openItemContext(rowItem, $event)" | |
| ></ModelCard> | |
| <div class="col-span-full"></div> | |
| </div> | |
| </template> | |
| </ResponseScroll> | |
| </div> | |
| <div class="flex justify-between px-4 py-2 text-sm"> | |
| <div></div> | |
| <div></div> | |
| </div> | |
| <ContextMenu ref="menu" :model="contextItems"></ContextMenu> | |
| <ConfirmDialog group="confirm-name"> | |
| <template #container="{ acceptCallback: accept, rejectCallback: reject }"> | |
| <div class="flex w-90 flex-col items-end rounded px-4 pb-4 pt-8"> | |
| <InputText | |
| class="w-full" | |
| type="text" | |
| v-model="confirmName" | |
| v-focus | |
| @keyup.enter="accept" | |
| ></InputText> | |
| <div class="mt-6 flex items-center gap-2"> | |
| <Button :label="$t('cancel')" @click="reject" outlined></Button> | |
| <Button :label="$t('confirm')" @click="accept"></Button> | |
| </div> | |
| </div> | |
| </template> | |
| </ConfirmDialog> | |
| </div> | |
| </template> | |
| <script setup lang="ts"> | |
| import { useElementSize } from '@vueuse/core' | |
| import ModelCard from 'components/ModelCard.vue' | |
| import ResponseBreadcrumb from 'components/ResponseBreadcrumb.vue' | |
| import ResponseInput from 'components/ResponseInput.vue' | |
| import ResponseScroll from 'components/ResponseScroll.vue' | |
| import ResponseSelect from 'components/ResponseSelect.vue' | |
| import { useConfig } from 'hooks/config' | |
| import { type ModelTreeNode, useModelExplorer } from 'hooks/explorer' | |
| import { chunk } from 'lodash' | |
| import Button from 'primevue/button' | |
| import ConfirmDialog from 'primevue/confirmdialog' | |
| import ContextMenu from 'primevue/contextmenu' | |
| import InputText from 'primevue/inputtext' | |
| import type { MenuItem } from 'primevue/menuitem' | |
| import { genModelKey } from 'utils/model' | |
| import { computed, ref } from 'vue' | |
| import { useI18n } from 'vue-i18n' | |
| const { t } = useI18n() | |
| const gutter = { | |
| x: 4, | |
| y: 32, | |
| } | |
| const { | |
| dataTreeList, | |
| folderPaths, | |
| findFolder, | |
| openFolder, | |
| openModelDetail, | |
| getFullPath, | |
| } = useModelExplorer() | |
| const { cardSize, cardSizeMap, cardSizeFlag, dialog: settings } = useConfig() | |
| const showToolbar = ref(false) | |
| const toggleToolbar = () => { | |
| showToolbar.value = !showToolbar.value | |
| } | |
| const contentContainer = ref<HTMLElement | null>(null) | |
| const contentSize = useElementSize(contentContainer) | |
| const itemSize = computed(() => { | |
| return cardSize.value.height + gutter.y | |
| }) | |
| const cols = computed(() => { | |
| const containerWidth = contentSize.width.value + gutter.x | |
| const itemWidth = cardSize.value.width + gutter.x | |
| return Math.floor(containerWidth / itemWidth) | |
| }) | |
| const searchContent = ref<string>() | |
| const sortOrder = ref('name') | |
| const sortOrderOptions = ref( | |
| ['name', 'size', 'created', 'modified'].map((key) => { | |
| return { | |
| label: t(`sort.${key}`), | |
| value: key, | |
| icon: key === 'name' ? 'pi pi-sort-alpha-down' : 'pi pi-sort-amount-down', | |
| command: () => { | |
| sortOrder.value = key | |
| }, | |
| } | |
| }), | |
| ) | |
| const currentDataList = computed(() => { | |
| let renderedList = dataTreeList.value | |
| for (const folderItem of folderPaths.value) { | |
| const found = findFolder(renderedList, { | |
| basename: folderItem.name, | |
| pathIndex: folderItem.pathIndex, | |
| }) | |
| renderedList = found?.children || [] | |
| } | |
| const filter = searchContent.value?.toLowerCase().trim() ?? '' | |
| if (filter) { | |
| const filterItems: ModelTreeNode[] = [] | |
| const searchList = [...renderedList] | |
| while (searchList.length) { | |
| const item = searchList.pop()! | |
| const children = (item as any).children ?? [] | |
| searchList.push(...children) | |
| const matchSubFolder = `${item.subFolder}/`.toLowerCase().includes(filter) | |
| const matchName = item.basename.toLowerCase().includes(filter) | |
| if (matchSubFolder || matchName) { | |
| filterItems.push(item) | |
| } | |
| } | |
| renderedList = filterItems | |
| } | |
| if (folderPaths.value.length > 1) { | |
| const folderItems: ModelTreeNode[] = [] | |
| const modelItems: ModelTreeNode[] = [] | |
| for (const item of renderedList) { | |
| if (item.isFolder) { | |
| folderItems.push(item) | |
| } else { | |
| modelItems.push(item) | |
| } | |
| } | |
| folderItems.sort((a, b) => { | |
| return a.basename.localeCompare(b.basename) | |
| }) | |
| modelItems.sort((a, b) => { | |
| const sortFieldMap = { | |
| name: 'basename', | |
| size: 'sizeBytes', | |
| created: 'createdAt', | |
| modified: 'updatedAt', | |
| } | |
| const sortField = sortFieldMap[sortOrder.value] | |
| const aValue = a[sortField] | |
| const bValue = b[sortField] | |
| const result = | |
| typeof aValue === 'string' | |
| ? aValue.localeCompare(bValue) | |
| : aValue - bValue | |
| return result | |
| }) | |
| renderedList = [...folderItems, ...modelItems] | |
| } | |
| return renderedList | |
| }) | |
| const renderedList = computed(() => { | |
| return chunk(currentDataList.value, cols.value).map((row) => { | |
| return { key: row.map((o) => o.basename).join('#'), row } | |
| }) | |
| }) | |
| const cardSizeOptions = computed(() => { | |
| const customSize = 'size.custom' | |
| const customOptionMap = { | |
| ...cardSizeMap.value, | |
| [customSize]: 'custom', | |
| } | |
| return Object.keys(customOptionMap).map((key) => { | |
| return { | |
| label: t(key), | |
| value: key, | |
| command: () => { | |
| if (key === customSize) { | |
| settings.showCardSizeSetting() | |
| } else { | |
| cardSizeFlag.value = key | |
| } | |
| }, | |
| } | |
| }) | |
| }) | |
| const menu = ref() | |
| const contextItems = ref<MenuItem[]>([]) | |
| const confirmName = ref('') | |
| const openItem = (item: ModelTreeNode, e: Event) => { | |
| menu.value.hide(e) | |
| if (item.isFolder) { | |
| searchContent.value = undefined | |
| openFolder(item) | |
| } else { | |
| openModelDetail(item) | |
| } | |
| } | |
| const openItemContext = (item: ModelTreeNode, e: Event) => { | |
| if (folderPaths.value.length < 2) { | |
| return | |
| } | |
| contextItems.value = [ | |
| { | |
| label: t('open'), | |
| icon: 'pi pi-folder-open', | |
| command: () => { | |
| openItem(item, e) | |
| }, | |
| }, | |
| ] | |
| menu.value?.show(e) | |
| } | |
| const nonContextMenu = (e: Event) => { | |
| menu.value.hide(e) | |
| } | |
| const vFocus = { | |
| mounted: (el: HTMLInputElement) => el.focus(), | |
| } | |
| const handleGoBackParentFolder = () => { | |
| folderPaths.value.pop() | |
| } | |
| </script> | |