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<meta charset="utf-8" /><meta name="hf:doc:metadata" content="{&quot;title&quot;:&quot;Vagas na Hugging Face&quot;,&quot;local&quot;:&quot;hugging-face-jobs&quot;,&quot;sections&quot;:[{&quot;title&quot;:&quot;Treinar um LoRA em Jobs&quot;,&quot;local&quot;:&quot;train-a-lora-on-jobs&quot;,&quot;sections&quot;:[],&quot;depth&quot;:2},{&quot;title&quot;:&quot;Gerenciando um Job&quot;,&quot;local&quot;:&quot;managing-a-job&quot;,&quot;sections&quot;:[],&quot;depth&quot;:2},{&quot;title&quot;:&quot;Treine com suas próprias imagens&quot;,&quot;local&quot;:&quot;train-on-your-own-images&quot;,&quot;sections&quot;:[],&quot;depth&quot;:2},{&quot;title&quot;:&quot;Treinar em FP8&quot;,&quot;local&quot;:&quot;train-in-fp8&quot;,&quot;sections&quot;:[],&quot;depth&quot;:2},{&quot;title&quot;:&quot;Execute um script sem um cabeçalho de dependência&quot;,&quot;local&quot;:&quot;run-a-script-without-a-dependency-header&quot;,&quot;sections&quot;:[],&quot;depth&quot;:2},{&quot;title&quot;:&quot;Salvar checkpoints para execuções longas&quot;,&quot;local&quot;:&quot;save-checkpoints-for-long-runs&quot;,&quot;sections&quot;:[],&quot;depth&quot;:2},{&quot;title&quot;:&quot;Próximas etapas&quot;,&quot;local&quot;:&quot;next-steps&quot;,&quot;sections&quot;:[],&quot;depth&quot;:2}],&quot;depth&quot;:1}"/>
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		<!--1ffuigs--><meta name="hf:doc:metadata" content="{&quot;title&quot;:&quot;Hugging Face Jobs&quot;,&quot;local&quot;:&quot;hugging-face-jobs&quot;,&quot;sections&quot;:[{&quot;title&quot;:&quot;Train a LoRA on Jobs&quot;,&quot;local&quot;:&quot;train-a-lora-on-jobs&quot;,&quot;sections&quot;:[],&quot;depth&quot;:2},{&quot;title&quot;:&quot;Managing a Job&quot;,&quot;local&quot;:&quot;managing-a-job&quot;,&quot;sections&quot;:[],&quot;depth&quot;:2},{&quot;title&quot;:&quot;Train on your own images&quot;,&quot;local&quot;:&quot;train-on-your-own-images&quot;,&quot;sections&quot;:[],&quot;depth&quot;:2},{&quot;title&quot;:&quot;Train in FP8&quot;,&quot;local&quot;:&quot;train-in-fp8&quot;,&quot;sections&quot;:[],&quot;depth&quot;:2},{&quot;title&quot;:&quot;Run a script without a dependency header&quot;,&quot;local&quot;:&quot;run-a-script-without-a-dependency-header&quot;,&quot;sections&quot;:[],&quot;depth&quot;:2},{&quot;title&quot;:&quot;Save checkpoints for long runs&quot;,&quot;local&quot;:&quot;save-checkpoints-for-long-runs&quot;,&quot;sections&quot;:[],&quot;depth&quot;:2},{&quot;title&quot;:&quot;Next steps&quot;,&quot;local&quot;:&quot;next-steps&quot;,&quot;sections&quot;:[],&quot;depth&quot;:2}],&quot;depth&quot;:1}"/><!---->
		<link href="/docs/diffusers/main/en/_app/immutable/assets/0.tn0RQdqM.css" rel="modulepreload"> <!--[--><!--[0--><!--[--><!--[0--><!--[--><p></p> <div class="items-center shrink-0 min-w-[100px] max-sm:min-w-[50px] justify-end ml-auto flex" style="float: inline-end; margin-inline-start: 10px; display: inline-flex; position: relative; z-index: 10;"><div dir="ltr" class="inline-flex rounded-md max-sm:rounded-sm"><button class="inline-flex items-center gap-1 h-7 max-sm:h-7 px-2 max-sm:px-1.5 text-sm font-medium text-gray-800 border border-r-0 rounded-l-md max-sm:rounded-l-sm border-gray-200 bg-white hover:shadow-inner dark:border-gray-850 dark:bg-gray-950 dark:text-gray-200 dark:hover:bg-gray-800" aria-live="polite"><span class="inline-flex items-center justify-center rounded-md p-0.5 max-sm:p-0 hover:text-gray-800 dark:hover:text-gray-200"><svg class="sm:size-3.5 size-3" xmlns="http://www.w3.org/2000/svg" aria-hidden="true" fill="currentColor" focusable="false" role="img" width="1em" height="1em" preserveAspectRatio="xMidYMid meet" viewBox="0 0 32 32"><path d="M28,10V28H10V10H28m0-2H10a2,2,0,0,0-2,2V28a2,2,0,0,0,2,2H28a2,2,0,0,0,2-2V10a2,2,0,0,0-2-2Z" transform="translate(0)"></path><path d="M4,18H2V4A2,2,0,0,1,4,2H18V4H4Z" transform="translate(0)"></path><rect fill="none" width="32" height="32"></rect></svg><!----></span> <span dir="auto">Copy page</span></button> <button class="inline-flex items-center justify-center w-6 max-sm:w-5 h-7 max-sm:h-7 disabled:pointer-events-none text-sm text-gray-500 hover:text-gray-700 dark:hover:text-white rounded-r-md max-sm:rounded-r-sm border border-l transition border-gray-200 bg-white hover:shadow-inner dark:border-gray-850 dark:bg-gray-950 dark:text-gray-200 dark:hover:bg-gray-800" aria-haspopup="menu" aria-expanded="false" aria-label="Open copy menu"><svg class="transition-transform text-gray-400 overflow-visible sm:size-3.5 size-3 rotate-0" width="1em" height="1em" viewBox="0 0 12 7" fill="none" xmlns="http://www.w3.org/2000/svg"><path d="M1 1L6 6L11 1" stroke="currentColor"></path></svg><!----></button></div> <!--[-1--><!--]--></div><!----> <!--[0--><h1 class="relative group"><a id="hugging-face-jobs" class="header-link block pr-1.5 text-lg no-hover:hidden with-hover:absolute with-hover:p-1.5 with-hover:opacity-0 with-hover:group-hover:opacity-100 with-hover:right-full" href="#hugging-face-jobs"><span><svg xmlns="http://www.w3.org/2000/svg" xmlns:xlink="http://www.w3.org/1999/xlink" aria-hidden="true" role="img" width="1em" height="1em" preserveAspectRatio="xMidYMid meet" viewBox="0 0 256 256"><path d="M167.594 88.393a8.001 8.001 0 0 1 0 11.314l-67.882 67.882a8 8 0 1 1-11.314-11.315l67.882-67.881a8.003 8.003 0 0 1 11.314 0zm-28.287 84.86l-28.284 28.284a40 40 0 0 1-56.567-56.567l28.284-28.284a8 8 0 0 0-11.315-11.315l-28.284 28.284a56 56 0 0 0 79.196 79.197l28.285-28.285a8 8 0 1 0-11.315-11.314zM212.852 43.14a56.002 56.002 0 0 0-79.196 0l-28.284 28.284a8 8 0 1 0 11.314 11.314l28.284-28.284a40 40 0 0 1 56.568 56.567l-28.285 28.285a8 8 0 0 0 11.315 11.314l28.284-28.284a56.065 56.065 0 0 0 0-79.196z" fill="currentColor"></path></svg><!----></span></a> <span><!---->Vagas na Hugging Face<!----></span></h1><!--]--><!----> <p><a href="https://huggingface.co/docs/hub/jobs" rel="nofollow">Hugging Face Jobs</a> roda em GPUs da Hugging Face, então você não precisa configurar uma máquina, e a execução continua mesmo se você fechar o terminal. Os scripts de treinamento do Diffusers rodam nos Jobs diretamente da URL do GitHub, sem a necessidade de clonar o repositório ou instalar algo localmente.</p> <p>Antes de começar, siga o <a href="https://huggingface.co/docs/hub/jobs-quickstart" rel="nofollow">Jobs quickstart</a> para instalar o CLI <code>hf</code>, fazer login e adicionar créditos à sua conta.</p> <!--[1--><h2 class="relative group"><a id="train-a-lora-on-jobs" class="header-link block pr-1.5 text-lg no-hover:hidden with-hover:absolute with-hover:p-1.5 with-hover:opacity-0 with-hover:group-hover:opacity-100 with-hover:right-full" href="#train-a-lora-on-jobs"><span><svg xmlns="http://www.w3.org/2000/svg" xmlns:xlink="http://www.w3.org/1999/xlink" aria-hidden="true" role="img" width="1em" height="1em" preserveAspectRatio="xMidYMid meet" viewBox="0 0 256 256"><path d="M167.594 88.393a8.001 8.001 0 0 1 0 11.314l-67.882 67.882a8 8 0 1 1-11.314-11.315l67.882-67.881a8.003 8.003 0 0 1 11.314 0zm-28.287 84.86l-28.284 28.284a40 40 0 0 1-56.567-56.567l28.284-28.284a8 8 0 0 0-11.315-11.315l-28.284 28.284a56 56 0 0 0 79.196 79.197l28.285-28.285a8 8 0 1 0-11.315-11.314zM212.852 43.14a56.002 56.002 0 0 0-79.196 0l-28.284 28.284a8 8 0 1 0 11.314 11.314l28.284-28.284a40 40 0 0 1 56.568 56.567l-28.285 28.285a8 8 0 0 0 11.315 11.314l28.284-28.284a56.065 56.065 0 0 0 0-79.196z" fill="currentColor"></path></svg><!----></span></a> <span><!---->Treinar um LoRA em Jobs<!----></span></h2><!--]--><!----> <p>O comando abaixo treina um LoRA para <a href="https://huggingface.co/black-forest-labs/FLUX.2-klein-4B" rel="nofollow">FLUX.2-klein-4B</a> com as cinco fotos de cachorro em <a href="https://huggingface.co/datasets/diffusers/dog-example" rel="nofollow">diffusers/dog-example</a>. Ele roda em um único A10G e envia o LoRA para o seu namespace no Hub.</p> <div class="code-block relative "><div class="absolute top-2.5 right-4"><button class="inline-flex items-center relative text-sm focus:text-green-500 cursor-pointer focus:outline-none transition duration-200 ease-in-out opacity-0 mx-0.5   text-gray-600  " title="code excerpt" type="button"><svg xmlns="http://www.w3.org/2000/svg" aria-hidden="true" fill="currentColor" focusable="false" role="img" width="1em" height="1em" preserveAspectRatio="xMidYMid meet" viewBox="0 0 32 32"><path d="M28,10V28H10V10H28m0-2H10a2,2,0,0,0-2,2V28a2,2,0,0,0,2,2H28a2,2,0,0,0,2-2V10a2,2,0,0,0-2-2Z" transform="translate(0)"></path><path d="M4,18H2V4A2,2,0,0,1,4,2H18V4H4Z" transform="translate(0)"></path><rect fill="none" width="32" height="32"></rect></svg><!----> <div class=" absolute pointer-events-none transition-opacity bg-black text-white py-1 px-2 leading-tight rounded font-normal shadow left-1/2 top-full transform -translate-x-1/2 translate-y-2 opacity-0 "><div class="absolute bottom-full left-1/2 transform -translate-x-1/2 w-0 h-0 border-black border-4 border-t-0" style="border-left-color: transparent; border-right-color: transparent;"></div> Copiado</div><!----></button><!----></div> <pre class="language-bash "><!----><span class="hljs-comment"># 20 steps is a test run. For a real run, raise --max_train_steps</span>
<span class="hljs-comment"># (the FLUX.2 README uses 500) and --timeout to match.</span>
hf <span class="hljs-built_in">jobs</span> uv run --flavor a10g-small --<span class="hljs-built_in">timeout</span> 30m -s HF_TOKEN -- \
  https://raw.githubusercontent.com/huggingface/diffusers/main/examples/dreambooth/train_dreambooth_lora_flux2_klein.py \
  --pretrained_model_name_or_path black-forest-labs/FLUX.2-klein-4B \
  --dataset_name diffusers/dog-example \
  --instance_prompt <span class="hljs-string">&quot;a photo of sks dog&quot;</span> \
  --resolution 512 --mixed_precision bf16 --guidance_scale 1 \
  --gradient_checkpointing --cache_latents \
  --optimizer adamW --use_8bit_adam --learning_rate 1e-4 \
  --max_train_steps 20 --seed 0 \
  --output_dir /tmp/out \
  --push_to_hub --hub_model_id your-username/klein-dog-lora<!----></pre></div><!----> <p><code>uv</code> instala as dependências listadas no cabeçalho <code># /// script</code> do script, incluindo o Diffusers a partir do <code>main</code>. Os Jobs não recebem um token do Hugging Face por padrão, portanto <code>-s HF_TOKEN</code> encaminha o seu para permitir que o script faça o push do LoRA. O disco do Job é descartado quando o Job termina, e qualquer coisa que você não fizer push será perdida. Os guias de <a href="./dreambooth">DreamBooth</a> e <a href="./lora">LoRA</a> explicam os argumentos de treinamento.</p> <!--[1--><h2 class="relative group"><a id="managing-a-job" class="header-link block pr-1.5 text-lg no-hover:hidden with-hover:absolute with-hover:p-1.5 with-hover:opacity-0 with-hover:group-hover:opacity-100 with-hover:right-full" href="#managing-a-job"><span><svg xmlns="http://www.w3.org/2000/svg" xmlns:xlink="http://www.w3.org/1999/xlink" aria-hidden="true" role="img" width="1em" height="1em" preserveAspectRatio="xMidYMid meet" viewBox="0 0 256 256"><path d="M167.594 88.393a8.001 8.001 0 0 1 0 11.314l-67.882 67.882a8 8 0 1 1-11.314-11.315l67.882-67.881a8.003 8.003 0 0 1 11.314 0zm-28.287 84.86l-28.284 28.284a40 40 0 0 1-56.567-56.567l28.284-28.284a8 8 0 0 0-11.315-11.315l-28.284 28.284a56 56 0 0 0 79.196 79.197l28.285-28.285a8 8 0 1 0-11.315-11.314zM212.852 43.14a56.002 56.002 0 0 0-79.196 0l-28.284 28.284a8 8 0 1 0 11.314 11.314l28.284-28.284a40 40 0 0 1 56.568 56.567l-28.285 28.285a8 8 0 0 0 11.315 11.314l28.284-28.284a56.065 56.065 0 0 0 0-79.196z" fill="currentColor"></path></svg><!----></span></a> <span><!---->Gerenciando um Job<!----></span></h2><!--]--><!----> <p>Os logs de treinamento são exibidos no seu terminal enquanto o Job está em execução. Fechar o terminal ou pressionar <code>Ctrl+C</code> não interrompe o treinamento, pois o Job é executado nos servidores da Hugging Face. Para iniciar uma execução longa sem ocupar seu terminal, adicione <code>-d</code> antes de <code>--</code>. O comando exibe o ID do Job e retorna.</p> <p>Use o ID do Job para se reconectar aos logs, verificar a memória e a utilização da GPU durante o treinamento do modelo, ou interromper uma execução.</p> <div class="code-block relative "><div class="absolute top-2.5 right-4"><button class="inline-flex items-center relative text-sm focus:text-green-500 cursor-pointer focus:outline-none transition duration-200 ease-in-out opacity-0 mx-0.5   text-gray-600  " title="code excerpt" type="button"><svg xmlns="http://www.w3.org/2000/svg" aria-hidden="true" fill="currentColor" focusable="false" role="img" width="1em" height="1em" preserveAspectRatio="xMidYMid meet" viewBox="0 0 32 32"><path d="M28,10V28H10V10H28m0-2H10a2,2,0,0,0-2,2V28a2,2,0,0,0,2,2H28a2,2,0,0,0,2-2V10a2,2,0,0,0-2-2Z" transform="translate(0)"></path><path d="M4,18H2V4A2,2,0,0,1,4,2H18V4H4Z" transform="translate(0)"></path><rect fill="none" width="32" height="32"></rect></svg><!----> <div class=" absolute pointer-events-none transition-opacity bg-black text-white py-1 px-2 leading-tight rounded font-normal shadow left-1/2 top-full transform -translate-x-1/2 translate-y-2 opacity-0 "><div class="absolute bottom-full left-1/2 transform -translate-x-1/2 w-0 h-0 border-black border-4 border-t-0" style="border-left-color: transparent; border-right-color: transparent;"></div> Copiado</div><!----></button><!----></div> <pre class="language-bash "><!---->hf <span class="hljs-built_in">jobs</span> logs -f &lt;job_id&gt;
hf <span class="hljs-built_in">jobs</span> stats &lt;job_id&gt;
hf <span class="hljs-built_in">jobs</span> cancel &lt;job_id&gt;<!----></pre></div><!----> <p>Se a execução falhar, <code>hf jobs inspect &lt;job_id></code> exibe a mensagem de erro. Consulte <a href="https://huggingface.co/docs/hub/jobs-manage" rel="nofollow">Gerenciar Jobs</a> para os outros comandos.</p> <!--[1--><h2 class="relative group"><a id="train-on-your-own-images" class="header-link block pr-1.5 text-lg no-hover:hidden with-hover:absolute with-hover:p-1.5 with-hover:opacity-0 with-hover:group-hover:opacity-100 with-hover:right-full" href="#train-on-your-own-images"><span><svg xmlns="http://www.w3.org/2000/svg" xmlns:xlink="http://www.w3.org/1999/xlink" aria-hidden="true" role="img" width="1em" height="1em" preserveAspectRatio="xMidYMid meet" viewBox="0 0 256 256"><path d="M167.594 88.393a8.001 8.001 0 0 1 0 11.314l-67.882 67.882a8 8 0 1 1-11.314-11.315l67.882-67.881a8.003 8.003 0 0 1 11.314 0zm-28.287 84.86l-28.284 28.284a40 40 0 0 1-56.567-56.567l28.284-28.284a8 8 0 0 0-11.315-11.315l-28.284 28.284a56 56 0 0 0 79.196 79.197l28.285-28.285a8 8 0 1 0-11.315-11.314zM212.852 43.14a56.002 56.002 0 0 0-79.196 0l-28.284 28.284a8 8 0 1 0 11.314 11.314l28.284-28.284a40 40 0 0 1 56.568 56.567l-28.285 28.285a8 8 0 0 0 11.315 11.314l28.284-28.284a56.065 56.065 0 0 0 0-79.196z" fill="currentColor"></path></svg><!----></span></a> <span><!---->Treine com suas próprias imagens<!----></span></h2><!--]--><!----> <p>Para treinar com suas imagens, monte a pasta delas no Job com <code>-v</code> e passe o caminho de montagem para <code>--instance_data_dir</code> em vez de <code>--dataset_name</code>. O Jobs faz o upload da pasta para um bucket privado antes de o Job iniciar e a monta somente para leitura. Fazer o upload da mesma pasta novamente envia apenas arquivos novos ou alterados.</p> <div class="code-block relative "><div class="absolute top-2.5 right-4"><button class="inline-flex items-center relative text-sm focus:text-green-500 cursor-pointer focus:outline-none transition duration-200 ease-in-out opacity-0 mx-0.5   text-gray-600  " title="code excerpt" type="button"><svg xmlns="http://www.w3.org/2000/svg" aria-hidden="true" fill="currentColor" focusable="false" role="img" width="1em" height="1em" preserveAspectRatio="xMidYMid meet" viewBox="0 0 32 32"><path d="M28,10V28H10V10H28m0-2H10a2,2,0,0,0-2,2V28a2,2,0,0,0,2,2H28a2,2,0,0,0,2-2V10a2,2,0,0,0-2-2Z" transform="translate(0)"></path><path d="M4,18H2V4A2,2,0,0,1,4,2H18V4H4Z" transform="translate(0)"></path><rect fill="none" width="32" height="32"></rect></svg><!----> <div class=" absolute pointer-events-none transition-opacity bg-black text-white py-1 px-2 leading-tight rounded font-normal shadow left-1/2 top-full transform -translate-x-1/2 translate-y-2 opacity-0 "><div class="absolute bottom-full left-1/2 transform -translate-x-1/2 w-0 h-0 border-black border-4 border-t-0" style="border-left-color: transparent; border-right-color: transparent;"></div> Copiado</div><!----></button><!----></div> <pre class="language-bash "><!---->hf <span class="hljs-built_in">jobs</span> uv run --flavor a10g-small --<span class="hljs-built_in">timeout</span> 30m -s HF_TOKEN \
  -v ./my-dog:/data -- \
  https://raw.githubusercontent.com/huggingface/diffusers/main/examples/dreambooth/train_dreambooth_lora_flux2_klein.py \
  --pretrained_model_name_or_path black-forest-labs/FLUX.2-klein-4B \
  --instance_data_dir /data \
  --instance_prompt <span class="hljs-string">&quot;a photo of sks dog&quot;</span> \
  --resolution 512 --mixed_precision bf16 --guidance_scale 1 \
  --gradient_checkpointing --cache_latents \
  --optimizer adamW --use_8bit_adam --learning_rate 1e-4 \
  --max_train_steps 20 --seed 0 \
  --output_dir /tmp/out \
  --push_to_hub --hub_model_id your-username/klein-dog-lora<!----></pre></div><!----> <p>O script abre todos os arquivos em <code>--instance_data_dir</code> como imagens, portanto, mantenha apenas imagens na pasta. Um arquivo oculto, como <code>.DS_Store</code>, faz a execução falhar. Consulte <a href="https://huggingface.co/docs/hub/jobs-configuration#local-directories" rel="nofollow">Local directories</a> para mais informações sobre o montamento de uma pasta.</p> <p>Com <code>--with_prior_preservation</code>, o script gera as imagens de classe em <code>--class_data_dir</code> antes do início do treinamento. Aponte-o para um caminho em que o Job possa gravar. Para reutilizar as imagens de classe em execuções posteriores, coloque-as em um bucket montado com leitura e gravação, como o de <a href="#save-checkpoints-for-long-runs">Salvar checkpoints para execuções longas</a>.</p> <!--[1--><h2 class="relative group"><a id="train-in-fp8" class="header-link block pr-1.5 text-lg no-hover:hidden with-hover:absolute with-hover:p-1.5 with-hover:opacity-0 with-hover:group-hover:opacity-100 with-hover:right-full" href="#train-in-fp8"><span><svg xmlns="http://www.w3.org/2000/svg" xmlns:xlink="http://www.w3.org/1999/xlink" aria-hidden="true" role="img" width="1em" height="1em" preserveAspectRatio="xMidYMid meet" viewBox="0 0 256 256"><path d="M167.594 88.393a8.001 8.001 0 0 1 0 11.314l-67.882 67.882a8 8 0 1 1-11.314-11.315l67.882-67.881a8.003 8.003 0 0 1 11.314 0zm-28.287 84.86l-28.284 28.284a40 40 0 0 1-56.567-56.567l28.284-28.284a8 8 0 0 0-11.315-11.315l-28.284 28.284a56 56 0 0 0 79.196 79.197l28.285-28.285a8 8 0 1 0-11.315-11.314zM212.852 43.14a56.002 56.002 0 0 0-79.196 0l-28.284 28.284a8 8 0 1 0 11.314 11.314l28.284-28.284a40 40 0 0 1 56.568 56.567l-28.285 28.285a8 8 0 0 0 11.315 11.314l28.284-28.284a56.065 56.065 0 0 0 0-79.196z" fill="currentColor"></path></svg><!----></span></a> <span><!---->Treinar em FP8<!----></span></h2><!--]--><!----> <p>Os scripts de DreamBooth LoRA para FLUX.2, Z-Image, Ideogram 4 e Krea 2 aceitam <code>--do_fp8_training</code> para treinar em FP8 com <a href="https://github.com/pytorch/ao" rel="nofollow">torchao</a>, o que reduz o uso de memória. Nenhum cabeçalho de script inclui o torchao, portanto, adicione <code>--with torchao</code> antes de <code>--</code>. O FP8 também requer uma GPU com capacidade de computação 8.9 ou superior, como uma L4 (<code>l4x1</code>) ou L40S (<code>l40sx1</code>). As A10G (8.6) e A100 (8.0) não oferecem suporte a isso.</p> <!--[1--><h2 class="relative group"><a id="run-a-script-without-a-dependency-header" class="header-link block pr-1.5 text-lg no-hover:hidden with-hover:absolute with-hover:p-1.5 with-hover:opacity-0 with-hover:group-hover:opacity-100 with-hover:right-full" href="#run-a-script-without-a-dependency-header"><span><svg xmlns="http://www.w3.org/2000/svg" xmlns:xlink="http://www.w3.org/1999/xlink" aria-hidden="true" role="img" width="1em" height="1em" preserveAspectRatio="xMidYMid meet" viewBox="0 0 256 256"><path d="M167.594 88.393a8.001 8.001 0 0 1 0 11.314l-67.882 67.882a8 8 0 1 1-11.314-11.315l67.882-67.881a8.003 8.003 0 0 1 11.314 0zm-28.287 84.86l-28.284 28.284a40 40 0 0 1-56.567-56.567l28.284-28.284a8 8 0 0 0-11.315-11.315l-28.284 28.284a56 56 0 0 0 79.196 79.197l28.285-28.285a8 8 0 1 0-11.315-11.314zM212.852 43.14a56.002 56.002 0 0 0-79.196 0l-28.284 28.284a8 8 0 1 0 11.314 11.314l28.284-28.284a40 40 0 0 1 56.568 56.567l-28.285 28.285a8 8 0 0 0 11.315 11.314l28.284-28.284a56.065 56.065 0 0 0 0-79.196z" fill="currentColor"></path></svg><!----></span></a> <span><!---->Execute um script sem um cabeçalho de dependência<!----></span></h2><!--]--><!----> <p>Apenas os scripts em <a href="https://github.com/huggingface/diffusers/tree/main/examples/dreambooth" rel="nofollow">examples/dreambooth</a> e <a href="https://github.com/huggingface/diffusers/tree/main/examples/advanced_diffusion_training" rel="nofollow">examples/advanced_diffusion_training</a> declaram suas dependências em um bloco <code># /// script</code> no topo do arquivo. Alguns scripts nessas pastas, como <code>train_dreambooth_lora_sdxl.py</code>, não possuem um.</p> <p>Para um script sem cabeçalho, passe cada dependência com <code>--with</code>. Instale o Diffusers a partir do código-fonte, pois os scripts de treinamento exigem a versão de desenvolvimento. As outras dependências vêm do arquivo <code>requirements.txt</code> do script e de seus imports.</p> <div class="code-block relative "><div class="absolute top-2.5 right-4"><button class="inline-flex items-center relative text-sm focus:text-green-500 cursor-pointer focus:outline-none transition duration-200 ease-in-out opacity-0 mx-0.5   text-gray-600  " title="code excerpt" type="button"><svg xmlns="http://www.w3.org/2000/svg" aria-hidden="true" fill="currentColor" focusable="false" role="img" width="1em" height="1em" preserveAspectRatio="xMidYMid meet" viewBox="0 0 32 32"><path d="M28,10V28H10V10H28m0-2H10a2,2,0,0,0-2,2V28a2,2,0,0,0,2,2H28a2,2,0,0,0,2-2V10a2,2,0,0,0-2-2Z" transform="translate(0)"></path><path d="M4,18H2V4A2,2,0,0,1,4,2H18V4H4Z" transform="translate(0)"></path><rect fill="none" width="32" height="32"></rect></svg><!----> <div class=" absolute pointer-events-none transition-opacity bg-black text-white py-1 px-2 leading-tight rounded font-normal shadow left-1/2 top-full transform -translate-x-1/2 translate-y-2 opacity-0 "><div class="absolute bottom-full left-1/2 transform -translate-x-1/2 w-0 h-0 border-black border-4 border-t-0" style="border-left-color: transparent; border-right-color: transparent;"></div> Copiado</div><!----></button><!----></div> <pre class="language-bash "><!---->hf <span class="hljs-built_in">jobs</span> uv run --flavor a10g-small --<span class="hljs-built_in">timeout</span> 30m -s HF_TOKEN \
  --with <span class="hljs-string">&quot;diffusers @ git+https://github.com/huggingface/diffusers.git&quot;</span> \
  --with torch --with torchvision --with accelerate --with transformers \
  --with peft --with datasets --with bitsandbytes \
  --with ftfy --with tensorboard --with Jinja2 -- \
  https://raw.githubusercontent.com/huggingface/diffusers/main/examples/dreambooth/train_dreambooth_lora_sdxl.py \
  --pretrained_model_name_or_path stabilityai/stable-diffusion-xl-base-1.0 \
  --pretrained_vae_model_name_or_path madebyollin/sdxl-vae-fp16-fix \
  --dataset_name diffusers/dog-example \
  --instance_prompt <span class="hljs-string">&quot;a photo of sks dog&quot;</span> \
  --resolution 1024 --mixed_precision fp16 \
  --gradient_checkpointing --use_8bit_adam --learning_rate 1e-4 \
  --max_train_steps 20 --seed 0 \
  --output_dir /tmp/out \
  --push_to_hub --hub_model_id your-username/sdxl-dog-lora<!----></pre></div><!----> <!--[1--><h2 class="relative group"><a id="save-checkpoints-for-long-runs" class="header-link block pr-1.5 text-lg no-hover:hidden with-hover:absolute with-hover:p-1.5 with-hover:opacity-0 with-hover:group-hover:opacity-100 with-hover:right-full" href="#save-checkpoints-for-long-runs"><span><svg xmlns="http://www.w3.org/2000/svg" xmlns:xlink="http://www.w3.org/1999/xlink" aria-hidden="true" role="img" width="1em" height="1em" preserveAspectRatio="xMidYMid meet" viewBox="0 0 256 256"><path d="M167.594 88.393a8.001 8.001 0 0 1 0 11.314l-67.882 67.882a8 8 0 1 1-11.314-11.315l67.882-67.881a8.003 8.003 0 0 1 11.314 0zm-28.287 84.86l-28.284 28.284a40 40 0 0 1-56.567-56.567l28.284-28.284a8 8 0 0 0-11.315-11.315l-28.284 28.284a56 56 0 0 0 79.196 79.197l28.285-28.285a8 8 0 1 0-11.315-11.314zM212.852 43.14a56.002 56.002 0 0 0-79.196 0l-28.284 28.284a8 8 0 1 0 11.314 11.314l28.284-28.284a40 40 0 0 1 56.568 56.567l-28.285 28.285a8 8 0 0 0 11.315 11.314l28.284-28.284a56.065 56.065 0 0 0 0-79.196z" fill="currentColor"></path></svg><!----></span></a> <span><!---->Salvar checkpoints para execuções longas<!----></span></h2><!--]--><!----> <p>Uma execução que leva horas pode expirar ou falhar antes de terminar. Para preservar o progresso, monte um <a href="https://huggingface.co/docs/hub/storage-buckets" rel="nofollow">Storage Bucket</a> no Job com <code>-v</code> e aponte <code>--output_dir</code> para ele. Crie o bucket primeiro com <code>hf buckets create</code>.</p> <p>O script salva uma pasta <code>checkpoint-&lt;step></code> em <code>--output_dir</code> a cada <code>--checkpointing_steps</code> passos (500 por padrão), de modo que os checkpoints são enviados para o bucket conforme o treinamento avança. <code>--checkpoints_total_limit</code> limita a quantidade mantida. <code>--resume_from_checkpoint latest</code> retoma a partir do checkpoint mais recente em <code>--output_dir</code> e começa do zero se não houver nenhum, de modo que o mesmo comando funciona para a primeira execução e para cada reinício.</p> <div class="code-block relative "><div class="absolute top-2.5 right-4"><button class="inline-flex items-center relative text-sm focus:text-green-500 cursor-pointer focus:outline-none transition duration-200 ease-in-out opacity-0 mx-0.5   text-gray-600  " title="code excerpt" type="button"><svg xmlns="http://www.w3.org/2000/svg" aria-hidden="true" fill="currentColor" focusable="false" role="img" width="1em" height="1em" preserveAspectRatio="xMidYMid meet" viewBox="0 0 32 32"><path d="M28,10V28H10V10H28m0-2H10a2,2,0,0,0-2,2V28a2,2,0,0,0,2,2H28a2,2,0,0,0,2-2V10a2,2,0,0,0-2-2Z" transform="translate(0)"></path><path d="M4,18H2V4A2,2,0,0,1,4,2H18V4H4Z" transform="translate(0)"></path><rect fill="none" width="32" height="32"></rect></svg><!----> <div class=" absolute pointer-events-none transition-opacity bg-black text-white py-1 px-2 leading-tight rounded font-normal shadow left-1/2 top-full transform -translate-x-1/2 translate-y-2 opacity-0 "><div class="absolute bottom-full left-1/2 transform -translate-x-1/2 w-0 h-0 border-black border-4 border-t-0" style="border-left-color: transparent; border-right-color: transparent;"></div> Copiado</div><!----></button><!----></div> <pre class="language-bash "><!---->hf <span class="hljs-built_in">jobs</span> uv run --flavor a10g-small --<span class="hljs-built_in">timeout</span> 8h -s HF_TOKEN \
  -v hf://buckets/your-username/checkpoints:/ckpt -- \
  https://raw.githubusercontent.com/huggingface/diffusers/main/examples/dreambooth/train_dreambooth_lora_flux2_klein.py \
  --pretrained_model_name_or_path black-forest-labs/FLUX.2-klein-4B \
  --dataset_name diffusers/dog-example \
  --instance_prompt <span class="hljs-string">&quot;a photo of sks dog&quot;</span> \
  --resolution 1024 --mixed_precision bf16 --guidance_scale 1 \
  --gradient_checkpointing --cache_latents \
  --optimizer adamW --use_8bit_adam --learning_rate 1e-4 \
  --max_train_steps 5000 --seed 0 \
  --checkpointing_steps 500 --checkpoints_total_limit 3 \
  --resume_from_checkpoint latest \
  --output_dir /ckpt/klein-dog<!----></pre></div><!----> <p>Quando o treinamento termina, o LoRA é salvo no bucket como <code>pytorch_lora_weights.safetensors</code>. Consulte <a href="https://huggingface.co/docs/hub/jobs-configuration#volumes" rel="nofollow">Volumes</a> para as opções de montagem.</p> <blockquote class="note"><p>Não adicione <code>--push_to_hub</code> quando <code>--output_dir</code> contiver checkpoints. O upload ignora apenas as pastas <code>step_*</code> e <code>epoch_*</code>, de modo que as pastas <code>checkpoint-&lt;step></code> são enviadas para o repositório do modelo junto com o LoRA. Envie o <code>pytorch_lora_weights.safetensors</code> para um repositório de modelo por sua conta.</p></blockquote> <!--[1--><h2 class="relative group"><a id="next-steps" class="header-link block pr-1.5 text-lg no-hover:hidden with-hover:absolute with-hover:p-1.5 with-hover:opacity-0 with-hover:group-hover:opacity-100 with-hover:right-full" href="#next-steps"><span><svg xmlns="http://www.w3.org/2000/svg" xmlns:xlink="http://www.w3.org/1999/xlink" aria-hidden="true" role="img" width="1em" height="1em" preserveAspectRatio="xMidYMid meet" viewBox="0 0 256 256"><path d="M167.594 88.393a8.001 8.001 0 0 1 0 11.314l-67.882 67.882a8 8 0 1 1-11.314-11.315l67.882-67.881a8.003 8.003 0 0 1 11.314 0zm-28.287 84.86l-28.284 28.284a40 40 0 0 1-56.567-56.567l28.284-28.284a8 8 0 0 0-11.315-11.315l-28.284 28.284a56 56 0 0 0 79.196 79.197l28.285-28.285a8 8 0 1 0-11.315-11.314zM212.852 43.14a56.002 56.002 0 0 0-79.196 0l-28.284 28.284a8 8 0 1 0 11.314 11.314l28.284-28.284a40 40 0 0 1 56.568 56.567l-28.285 28.285a8 8 0 0 0 11.315 11.314l28.284-28.284a56.065 56.065 0 0 0 0-79.196z" fill="currentColor"></path></svg><!----></span></a> <span><!---->Próximas etapas<!----></span></h2><!--]--><!----> <ul><li>Leia <a href="https://huggingface.co/docs/hub/jobs-training" rel="nofollow">Train Models on Jobs</a> na documentação do Hub para saber quais verificações executar antes de um trabalho longo e como ler um trabalho que falhou.</li> <li>Carregue seu LoRA treinado para inferência com o guia <a href="../tutorials/using_peft_for_inference">LoRA</a>.</li> <li>Consulte os <a href="https://github.com/huggingface/diffusers/tree/main/examples/dreambooth" rel="nofollow">arquivos README do DreamBooth</a> para obter comandos e opções de memória específicos do modelo.</li></ul> <a class="!text-gray-400 !no-underline text-sm flex items-center not-prose mt-4" href="https://github.com/huggingface/diffusers/blob/main/docs/source/en/training/jobs.md" target="_blank"><svg class="mr-1" xmlns="http://www.w3.org/2000/svg" aria-hidden="true" fill="currentColor" focusable="false" role="img" width="1em" height="1em" preserveAspectRatio="xMidYMid meet" viewBox="0 0 32 32"><path d="M31,16l-7,7l-1.41-1.41L28.17,16l-5.58-5.59L24,9l7,7z"></path><path d="M1,16l7-7l1.41,1.41L3.83,16l5.58,5.59L8,23l-7-7z"></path><path d="M12.419,25.484L17.639,6.552l1.932,0.518L14.351,26.002z"></path></svg><!----> <span><span class="underline">Update</span> on GitHub</span></a><!----> <p></p><!--]--><!----><!--]--><!--]--><!--]--> <!--[-1--><!--]--><!--]-->
			
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