Merge pull request #2688 from ayancey/hugging-face-imagegen Hugging Face Inference API Image Generation

296a761247141daa7f79f99a98cbfa804ed34472

Cohee <18619528+Cohee1207@users.noreply.github.com>

Signed

Parents: e3f010782d958f8591fbe2ff85e592cc9a929cc7 a9700c0ff0764ed9fc8e1c93250e92f26df969cd

public/scripts/extensions/stable-diffusion/index.js+63 -1 Viewed

     pollinations: 'pollinations',
     stability: 'stability',
     blockentropy: 'blockentropy',
+    huggingface: 'huggingface',
 };
 const initiators = {

     $('#sd_command_visible').prop('checked', extension_settings.sd.command_visible);
     $('#sd_interactive_visible').prop('checked', extension_settings.sd.interactive_visible);
     $('#sd_stability_style_preset').val(extension_settings.sd.stability_style_preset);
+    $('#sd_huggingface_model_id').val(extension_settings.sd.huggingface_model_id);
     for (const style of extension_settings.sd.styles) {
         const option = document.createElement('option');

     saveSettingsDebounced();
+}
+function onHFModelInput() {
+    extension_settings.sd.huggingface_model_id = $('#sd_huggingface_model_id').val();
+    saveSettingsDebounced();
+}
 function onComfyWorkflowChange() {
     extension_settings.sd.comfy_workflow = $('#sd_comfy_workflow').find(':selected').val();
     saveSettingsDebounced();

     extension_settings.sd.model = $('#sd_model').find(':selected').val();
     saveSettingsDebounced();
-    const cloudSources = [sources.horde, sources.novel, sources.openai, sources.togetherai, sources.pollinations, sources.stability, sources.blockentropy];
+    const cloudSources = [
+        sources.horde,
+        sources.novel,
+        sources.openai,
+        sources.togetherai,
+        sources.pollinations,
+        sources.stability,
+        sources.blockentropy,
+        sources.huggingface,
+    ];
     if (cloudSources.includes(extension_settings.sd.source)) {
         return;

         case sources.blockentropy:
             samplers = ['N/A'];
             break;
+        case sources.huggingface:
+            samplers = ['N/A'];
+            break;
+    }
     for (const sampler of samplers) {

         case sources.blockentropy:
             models = await loadBlockEntropyModels();
             break;
+        case sources.huggingface:
+            models = [{ value: '', text: '<Enter Model ID above>' }];
+            break;
+    }
     for (const model of models) {

         case sources.blockentropy:
             schedulers = ['N/A'];
             break;
+        case sources.huggingface:
+            schedulers = ['N/A'];
+            break;
+    }
     for (const scheduler of schedulers) {

         case sources.blockentropy:
             vaes = ['N/A'];
             break;
+        case sources.huggingface:
+            vaes = ['N/A'];
+            break;
+    }
     for (const vae of vaes) {

             case sources.blockentropy:
                 result = await generateBlockEntropyImage(prefixedPrompt, negativePrompt, signal);
                 break;
+            case sources.huggingface:
+                result = await generateHuggingFaceImage(prefixedPrompt, signal);
+                break;
+        }
         if (!result.data) {

     return { format: 'png', data: await promptResult.text() };
+}
+/**
+ * Generates an image in Hugging Face Inference API using the provided prompt and configuration settings (model selected).
+ * @param {string} prompt - The main instruction used to guide the image generation.
+ * @param {AbortSignal} signal - An AbortSignal object that can be used to cancel the request.
+ * @returns {Promise<{format: string, data: string}>} - A promise that resolves when the image generation and processing are complete.
+ */
+async function generateHuggingFaceImage(prompt, signal) {
+    const result = await fetch('/api/sd/huggingface/generate', {
+        method: 'POST',
+        headers: getRequestHeaders(),
+        signal: signal,
+        body: JSON.stringify({
+            model: extension_settings.sd.huggingface_model_id,
+            prompt: prompt,
+        }),
+    });
+    if (result.ok) {
+        const data = await result.json();
+        return { format: 'jpg', data: data.image };
+    } else {
+        const text = await result.text();
+        throw new Error(text);
+    }
+}
 async function onComfyOpenWorkflowEditorClick() {
     let workflow = await (await fetch('/api/sd/comfy/workflow', {
         method: 'POST',

@@ -3508,6 +3567,8 @@ function isValidState() {
3508	return secret_state[SECRET_KEYS.STABILITY];	3567	return secret_state[SECRET_KEYS.STABILITY];
3509	case sources.blockentropy:	3568	case sources.blockentropy:
3510	return secret_state[SECRET_KEYS.BLOCKENTROPY];	3569	return secret_state[SECRET_KEYS.BLOCKENTROPY];
		3570	case sources.huggingface:
		3571	return secret_state[SECRET_KEYS.HUGGINGFACE];
3511	}	3572	}
3512	}	3573	}
3513		3574

     $('#sd_swap_dimensions').on('click', onSwapDimensionsClick);
     $('#sd_stability_key').on('click', onStabilityKeyClick);
     $('#sd_stability_style_preset').on('change', onStabilityStylePresetChange);
+    $('#sd_huggingface_model_id').on('input', onHFModelInput);
     $('.sd_settings .inline-drawer-toggle').on('click', function () {
         initScrollHeight($('#sd_prompt_prefix'));

public/scripts/extensions/stable-diffusion/settings.html+6 -0 Viewed

                 <option value="comfy">ComfyUI</option>
                 <option value="drawthings">DrawThings HTTP API</option>
                 <option value="extras">Extras API (local / remote)</option>
+                <option value="huggingface">HuggingFace Inference API (serverless)</option>
                 <option value="novel">NovelAI Diffusion</option>
                 <option value="openai">OpenAI (DALL-E)</option>
                 <option value="pollinations">Pollinations</option>

                 <!-- (Original Text)<b>Important:</b> run DrawThings app with HTTP API switch enabled in the UI! The server must be accessible from the SillyTavern host machine. -->
                 <i><b data-i18n="Important:">Important:</b></i><i data-i18n="sd_drawthings_auth_txt"> run DrawThings app with HTTP API switch enabled in the UI! The server must be accessible from the SillyTavern host machine.</i>
             </div>
+            <div data-sd-source="huggingface">
+                <i>Hint: Save an API key in the Hugging Face (Text Completion) API settings to use it here.</i>
+                <label for="sd_huggingface_model_id" data-i18n="Model ID">Model ID</label>
+                <input id="sd_huggingface_model_id" type="text" class="text_pole"  data-i18n="[placeholder]e.g. black-forest-labs/FLUX.1-dev" placeholder="e.g. black-forest-labs/FLUX.1-dev" value="" />
+            </div>
             <div data-sd-source="vlad">
                 <label for="sd_vlad_url">SD.Next API URL</label>
                 <div class="flex-container flexnowrap">

src/endpoints/stable-diffusion.js+41 -0 Viewed

 });
+const huggingface = express.Router();
+huggingface.post('/generate', jsonParser, async (request, response) => {
+    try {
+        const key = readSecret(request.user.directories, SECRET_KEYS.HUGGINGFACE);
+        if (!key) {
+            console.log('Hugging Face key not found.');
+            return response.sendStatus(400);
+        }
+        console.log('Hugging Face request:', request.body);
+        const result = await fetch(`https://api-inference.huggingface.co/models/${request.body.model}`, {
+            method: 'POST',
+            body: JSON.stringify({
+                inputs: request.body.prompt,
+            }),
+            headers: {
+                'Content-Type': 'application/json',
+                'Authorization': `Bearer ${key}`,
+            },
+        });
+        if (!result.ok) {
+            console.log('Hugging Face returned an error.');
+            return response.sendStatus(500);
+        }
+        const buffer = await result.buffer();
+        return response.send({
+            image: buffer.toString('base64'),
+        });
+    } catch (error) {
+        console.log(error);
+        return response.sendStatus(500);
+    }
+});
 router.use('/comfy', comfy);
 router.use('/together', together);
 router.use('/drawthings', drawthings);
 router.use('/pollinations', pollinations);
 router.use('/stability', stability);
 router.use('/blockentropy', blockentropy);
+router.use('/huggingface', huggingface);
 module.exports = { router };