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https://github.com/SillyTavern/SillyTavern.git
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Merge pull request #3088 from ceruleandeep/feature/comfyGgufModels
Feature/comfy gguf models
This commit is contained in:
137
default/content/Char_Avatar_Comfy_Workflow.json
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137
default/content/Char_Avatar_Comfy_Workflow.json
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{
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"3": {
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"inputs": {
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"seed": "%seed%",
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"steps": "%steps%",
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"cfg": "%scale%",
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"sampler_name": "%sampler%",
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"scheduler": "%scheduler%",
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"denoise": "%denoise%",
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"model": [
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"4",
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0
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],
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"positive": [
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"6",
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0
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],
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"negative": [
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"7",
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0
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],
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"latent_image": [
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"12",
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0
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]
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},
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"class_type": "KSampler",
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"_meta": {
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"title": "KSampler"
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}
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},
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"4": {
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"inputs": {
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"ckpt_name": "%model%"
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},
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"class_type": "CheckpointLoaderSimple",
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"_meta": {
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"title": "Load Checkpoint"
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}
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},
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"6": {
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"inputs": {
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"text": "%prompt%",
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"clip": [
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"4",
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1
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]
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},
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"class_type": "CLIPTextEncode",
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"_meta": {
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"title": "CLIP Text Encode (Prompt)"
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}
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},
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"7": {
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"inputs": {
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"text": "%negative_prompt%",
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"clip": [
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"4",
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1
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]
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},
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"class_type": "CLIPTextEncode",
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"_meta": {
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"title": "CLIP Text Encode (Negative Prompt)"
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}
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},
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"8": {
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"inputs": {
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"samples": [
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"3",
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0
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],
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"vae": [
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"4",
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2
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]
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},
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"class_type": "VAEDecode",
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"_meta": {
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"title": "VAE Decode"
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}
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},
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"9": {
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"inputs": {
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"filename_prefix": "SillyTavern",
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"images": [
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"8",
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0
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]
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},
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"class_type": "SaveImage",
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"_meta": {
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"title": "Save Image"
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}
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},
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"10": {
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"inputs": {
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"image": "%char_avatar%"
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},
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"class_type": "ETN_LoadImageBase64",
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"_meta": {
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"title": "Load Image (Base64) [https://github.com/Acly/comfyui-tooling-nodes]"
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}
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},
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"12": {
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"inputs": {
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"pixels": [
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"13",
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0
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],
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"vae": [
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"4",
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2
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]
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},
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"class_type": "VAEEncode",
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"_meta": {
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"title": "VAE Encode"
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}
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},
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"13": {
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"inputs": {
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"upscale_method": "bicubic",
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"width": "%width%",
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"height": "%height%",
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"crop": "center",
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"image": [
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"10",
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0
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]
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},
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"class_type": "ImageScale",
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"_meta": {
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"title": "Upscale Image"
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}
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}
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}
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@@ -135,6 +135,10 @@
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"filename": "Default_Comfy_Workflow.json",
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"type": "workflow"
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},
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{
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"filename": "Char_Avatar_Comfy_Workflow.json",
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"type": "workflow"
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},
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{
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"filename": "presets/kobold/Ace of Spades.json",
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"type": "kobold_preset"
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@@ -17,6 +17,7 @@
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<li data-placeholder="scheduler" class="sd_comfy_workflow_editor_not_found">"%scheduler%"</li>
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<li data-placeholder="steps" class="sd_comfy_workflow_editor_not_found">"%steps%"</li>
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<li data-placeholder="scale" class="sd_comfy_workflow_editor_not_found">"%scale%"</li>
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<li data-placeholder="denoise" class="sd_comfy_workflow_editor_not_found">"%denoise%"</li>
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<li data-placeholder="clip_skip" class="sd_comfy_workflow_editor_not_found">"%clip_skip%"</li>
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<li data-placeholder="width" class="sd_comfy_workflow_editor_not_found">"%width%"</li>
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<li data-placeholder="height" class="sd_comfy_workflow_editor_not_found">"%height%"</li>
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@@ -3269,6 +3269,10 @@ async function generateComfyImage(prompt, negativePrompt, signal) {
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const seed = extension_settings.sd.seed >= 0 ? extension_settings.sd.seed : Math.round(Math.random() * Number.MAX_SAFE_INTEGER);
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workflow = workflow.replaceAll('"%seed%"', JSON.stringify(seed));
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const denoising_strength = extension_settings.sd.denoising_strength === undefined ? 1.0 : extension_settings.sd.denoising_strength;
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workflow = workflow.replaceAll('"%denoise%"', JSON.stringify(denoising_strength));
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placeholders.forEach(ph => {
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workflow = workflow.replaceAll(`"%${ph}%"`, JSON.stringify(extension_settings.sd[ph]));
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});
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@@ -3279,7 +3283,8 @@ async function generateComfyImage(prompt, negativePrompt, signal) {
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const response = await fetch(getUserAvatarUrl());
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if (response.ok) {
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const avatarBlob = await response.blob();
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const avatarBase64 = await getBase64Async(avatarBlob);
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const avatarBase64DataUrl = await getBase64Async(avatarBlob);
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const avatarBase64 = avatarBase64DataUrl.split(',')[1];
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workflow = workflow.replaceAll('"%user_avatar%"', JSON.stringify(avatarBase64));
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} else {
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workflow = workflow.replaceAll('"%user_avatar%"', JSON.stringify(PNG_PIXEL));
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@@ -3289,7 +3294,8 @@ async function generateComfyImage(prompt, negativePrompt, signal) {
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const response = await fetch(getCharacterAvatarUrl());
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if (response.ok) {
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const avatarBlob = await response.blob();
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const avatarBase64 = await getBase64Async(avatarBlob);
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const avatarBase64DataUrl = await getBase64Async(avatarBlob);
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const avatarBase64 = avatarBase64DataUrl.split(',')[1];
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workflow = workflow.replaceAll('"%char_avatar%"', JSON.stringify(avatarBase64));
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} else {
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workflow = workflow.replaceAll('"%char_avatar%"', JSON.stringify(PNG_PIXEL));
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@@ -319,7 +319,7 @@
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<input class="neo-range-input" type="number" id="sd_hr_scale_value" data-for="sd_hr_scale" min="{{hr_scale_min}}" max="{{hr_scale_max}}" step="{{hr_scale_step}}" value="{{hr_scale}}" >
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</div>
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<div class="alignitemscenter flex-container flexFlowColumn flexGrow flexShrink gap0 flexBasis48p" data-sd-source="auto,vlad">
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<div class="alignitemscenter flex-container flexFlowColumn flexGrow flexShrink gap0 flexBasis48p" data-sd-source="auto,vlad,comfy">
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<small>
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<span data-i18n="Denoising strength">Denoising strength</span>
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</small>
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@@ -7,7 +7,7 @@ import sanitize from 'sanitize-filename';
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import { sync as writeFileAtomicSync } from 'write-file-atomic';
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import FormData from 'form-data';
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import { getBasicAuthHeader, delay } from '../util.js';
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import { delay, getBasicAuthHeader, tryParse } from '../util.js';
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import { jsonParser } from '../express-common.js';
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import { readSecret, SECRET_KEYS } from './secrets.js';
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@@ -19,7 +19,7 @@ import { readSecret, SECRET_KEYS } from './secrets.js';
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function getComfyWorkflows(directories) {
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return fs
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.readdirSync(directories.comfyWorkflows)
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.filter(file => file[0] != '.' && file.toLowerCase().endsWith('.json'))
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.filter(file => file[0] !== '.' && file.toLowerCase().endsWith('.json'))
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.sort(Intl.Collator().compare);
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}
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@@ -67,8 +67,7 @@ router.post('/upscalers', jsonParser, async (request, response) => {
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/** @type {any} */
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const data = await result.json();
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const names = data.map(x => x.name);
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return names;
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return data.map(x => x.name);
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}
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async function getLatentUpscalers() {
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@@ -88,8 +87,7 @@ router.post('/upscalers', jsonParser, async (request, response) => {
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/** @type {any} */
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const data = await result.json();
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const names = data.map(x => x.name);
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return names;
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return data.map(x => x.name);
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}
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const [upscalers, latentUpscalers] = await Promise.all([getUpscalerModels(), getLatentUpscalers()]);
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@@ -241,8 +239,7 @@ router.post('/set-model', jsonParser, async (request, response) => {
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'Authorization': getBasicAuthHeader(request.body.auth),
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},
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});
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const data = await result.json();
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return data;
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return await result.json();
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}
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const url = new URL(request.body.url);
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@@ -274,7 +271,7 @@ router.post('/set-model', jsonParser, async (request, response) => {
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const progress = progressState['progress'];
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const jobCount = progressState['state']['job_count'];
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if (progress == 0.0 && jobCount === 0) {
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if (progress === 0.0 && jobCount === 0) {
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break;
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}
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@@ -412,8 +409,19 @@ comfy.post('/models', jsonParser, async (request, response) => {
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}
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/** @type {any} */
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const data = await result.json();
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return response.send(data.CheckpointLoaderSimple.input.required.ckpt_name[0].map(it => ({ value: it, text: it })));
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} catch (error) {
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const ckpts = data.CheckpointLoaderSimple.input.required.ckpt_name[0].map(it => ({ value: it, text: it })) || [];
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const unets = data.UNETLoader.input.required.unet_name[0].map(it => ({ value: it, text: `UNet: ${it}` })) || [];
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// load list of GGUF unets from diffusion_models if the loader node is available
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const ggufs = data.UnetLoaderGGUF?.input.required.unet_name[0].map(it => ({ value: it, text: `GGUF: ${it}` })) || [];
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const models = [...ckpts, ...unets, ...ggufs];
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// make the display names of the models somewhat presentable
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models.forEach(it => it.text = it.text.replace(/\.[^.]*$/, '').replace(/_/g, ' '));
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return response.send(models);
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} catch (error) {
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console.log(error);
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return response.sendStatus(500);
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}
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@@ -527,7 +535,8 @@ comfy.post('/generate', jsonParser, async (request, response) => {
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body: request.body.prompt,
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});
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if (!promptResult.ok) {
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throw new Error('ComfyUI returned an error.');
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const text = await promptResult.text();
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throw new Error('ComfyUI returned an error.', { cause: tryParse(text) });
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}
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/** @type {any} */
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@@ -550,7 +559,13 @@ comfy.post('/generate', jsonParser, async (request, response) => {
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await delay(100);
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}
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if (item.status.status_str === 'error') {
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throw new Error('ComfyUI generation did not succeed.');
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// Report node tracebacks if available
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const errorMessages = item.status?.messages
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?.filter(it => it[0] === 'execution_error')
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.map(it => it[1])
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.map(it => `${it.node_type} [${it.node_id}] ${it.exception_type}: ${it.exception_message}`)
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.join('\n') || '';
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throw new Error(`ComfyUI generation did not succeed.\n\n${errorMessages}`.trim());
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}
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const imgInfo = Object.keys(item.outputs).map(it => item.outputs[it].images).flat()[0];
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const imgUrl = new URL(request.body.url);
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@@ -560,11 +575,12 @@ comfy.post('/generate', jsonParser, async (request, response) => {
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if (!imgResponse.ok) {
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throw new Error('ComfyUI returned an error.');
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}
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const imgBuffer = await imgResponse.buffer();
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return response.send(imgBuffer.toString('base64'));
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const imgBuffer = await imgResponse.arrayBuffer();
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return response.send(Buffer.from(imgBuffer).toString('base64'));
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} catch (error) {
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console.log(error);
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return response.sendStatus(500);
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console.log('ComfyUI error:', error);
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response.status(500).send(error.message);
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return response;
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}
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});
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