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OpenArt-AI-ComfyUI-Assistant/javascript/data.js
T
ematan1905 0f602981e2 testing auto-update
2023-12-23 11:57:24 +02:00

134 lines
83 KiB
JavaScript
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export const CATEGORY_COMFY_ACADEMY="Comfy Academy"
export const CATEGORY_TEMPLATE="Templates"
export const categories = [CATEGORY_COMFY_ACADEMY, CATEGORY_TEMPLATE]
export const latestVersion = 1;
export const modules = [
// Comfy Academy
{
title:"ComfyUI Intro",
type:'lesson',
description:`
We show you the ComfyUI interface and talk about different nodes including KSampler (the single most important node to generate a image), Reroute nodes. We even covered slightly more advanced techniques like how to customize a node and how to group a node.
In the next lesson, we will leverage what we learned in this lesson to build our first workflow together.`,
videoId:`BT2Kpm1cU-w`,
categories:[categories[0]],
initialWorkflow:`{"last_node_id": 9,"last_link_id": 9,"nodes": [{"id": 3,"type": "KSampler","pos": [621,237],"size": {"0": 315,"1": 262},"flags": {},"order": 0,"mode": 0,"inputs": [{"name": "model","type": "MODEL","link": null},{"name": "positive","type": "CONDITIONING","link": null},{"name": "negative","type": "CONDITIONING","link": null},{"name": "latent_image","type": "LATENT","link": null}],"outputs": [{"name": "LATENT","type": "LATENT","links": [],"slot_index": 0}],"properties": {"Node name for S&R": "KSampler"},"widgets_values": [156680208700286,"randomize",20,8,"euler","normal",1]}],"links": [],"groups": [],"config": {},"extra": {},"version": 0.4}`
},
{
title:"Build Your First Workflow",
type:'lesson',
description:`In this lesson, you will learn how to build your first workflow and see some fun experiments.
We start with KSampler and build out the first workflow to generate an image based on a text prompt with a given model.
Then we tweaked our workflow to have 3 output images.
Finally, we added ControlNet depth map to create images of the same scenery at different time of the day.
`,
videoId:`igOXqGR88KI`,
categories:[categories[0]],
initialWorkflow:`{"last_node_id":31,"last_link_id":36,"nodes":[{"id":28,"type":"VAELoader","pos":[1290,290],"size":{"0":315,"1":58},"flags":{},"order":0,"mode":0,"outputs":[{"name":"VAE","type":"VAE","links":[33],"shape":3}],"properties":{"Node name for S&R":"VAELoader"},"widgets_values":["vae-ft-mse-840000-ema-pruned.safetensors"]},{"id":24,"type":"CLIPTextEncode","pos":[860,450],"size":{"0":400,"1":200},"flags":{},"order":3,"mode":0,"inputs":[{"name":"clip","type":"CLIP","link":27}],"outputs":[{"name":"CONDITIONING","type":"CONDITIONING","links":[25],"shape":3}],"properties":{"Node name for S&R":"CLIPTextEncode"},"widgets_values":["mountain landscape, digital painting, masterpiece"]},{"id":25,"type":"CLIPTextEncode","pos":[860,710],"size":{"0":400,"1":200},"flags":{},"order":4,"mode":0,"inputs":[{"name":"clip","type":"CLIP","link":28}],"outputs":[{"name":"CONDITIONING","type":"CONDITIONING","links":[26],"shape":3}],"properties":{"Node name for S&R":"CLIPTextEncode"},"widgets_values":["ugly, deformed"]},{"id":22,"type":"KSampler","pos":[1310,480],"size":{"0":315,"1":262},"flags":{},"order":5,"mode":0,"inputs":[{"name":"model","type":"MODEL","link":24,"slot_index":0},{"name":"positive","type":"CONDITIONING","link":25,"slot_index":1},{"name":"negative","type":"CONDITIONING","link":26,"slot_index":2},{"name":"latent_image","type":"LATENT","link":29,"slot_index":3}],"outputs":[{"name":"LATENT","type":"LATENT","links":[30],"shape":3,"slot_index":0}],"properties":{"Node name for S&R":"KSampler"},"widgets_values":[1106281217108158,"randomize",25,7,"dpmpp_2m","karras",1]},{"id":26,"type":"EmptyLatentImage","pos":[900,280],"size":{"0":315,"1":106},"flags":{},"order":1,"mode":0,"outputs":[{"name":"LATENT","type":"LATENT","links":[29],"shape":3}],"properties":{"Node name for S&R":"EmptyLatentImage"},"widgets_values":[512,768,1]},{"id":27,"type":"VAEDecode","pos":[1670,380],"size":{"0":210,"1":46},"flags":{},"order":6,"mode":0,"inputs":[{"name":"samples","type":"LATENT","link":30},{"name":"vae","type":"VAE","link":33,"slot_index":1}],"outputs":[{"name":"IMAGE","type":"IMAGE","links":[36],"shape":3,"slot_index":0}],"properties":{"Node name for S&R":"VAEDecode"}},{"id":31,"type":"SaveImage","pos":[1650,560],"size":{"0":333.5714111328125,"1":457.857177734375},"flags":{},"order":7,"mode":0,"inputs":[{"name":"images","type":"IMAGE","link":36}],"properties":{},"widgets_values":["ComfyUI"]},{"id":23,"type":"CheckpointLoaderSimple","pos":[500,530],"size":{"0":315,"1":98},"flags":{},"order":2,"mode":0,"outputs":[{"name":"MODEL","type":"MODEL","links":[24],"shape":3},{"name":"CLIP","type":"CLIP","links":[27,28],"shape":3,"slot_index":1},{"name":"VAE","type":"VAE","links":[],"shape":3,"slot_index":2}],"properties":{"Node name for S&R":"CheckpointLoaderSimple"},"widgets_values":["dreamshaper_8.safetensors"]}],"links":[[24,23,0,22,0,"MODEL"],[25,24,0,22,1,"CONDITIONING"],[26,25,0,22,2,"CONDITIONING"],[27,23,1,24,0,"CLIP"],[28,23,1,25,0,"CLIP"],[29,26,0,22,3,"LATENT"],[30,22,0,27,0,"LATENT"],[33,28,0,27,1,"VAE"],[36,27,0,31,0,"IMAGE"]],"groups":[],"config":{},"extra":{},"version":0.4}`,
keyframesWorkflows: {
10:`{"last_node_id": 9, "last_link_id": 9, "nodes": [], "links": [], "groups": [], "config": {}, "extra": {}, "version": 0.4 }`,
390:`{"last_node_id":42,"last_link_id":59,"nodes":[{"id":26,"type":"EmptyLatentImage","pos":[418,183],"size":{"0":315,"1":106},"flags":{},"order":0,"mode":0,"outputs":[{"name":"LATENT","type":"LATENT","links":[29],"shape":3}],"properties":{"Node name for S&R":"EmptyLatentImage"},"widgets_values":[512,768,1]},{"id":23,"type":"CheckpointLoaderSimple","pos":[10,441],"size":{"0":315,"1":98},"flags":{},"order":1,"mode":0,"outputs":[{"name":"MODEL","type":"MODEL","links":[24,37,45],"shape":3},{"name":"CLIP","type":"CLIP","links":[27,28,41,49],"shape":3,"slot_index":1},{"name":"VAE","type":"VAE","links":[],"shape":3,"slot_index":2}],"properties":{"Node name for S&R":"CheckpointLoaderSimple"},"widgets_values":["dreamshaper_8.safetensors"]},{"id":28,"type":"VAELoader","pos":[7,595],"size":{"0":315,"1":58},"flags":{},"order":2,"mode":0,"outputs":[{"name":"VAE","type":"VAE","links":[33,43,51],"shape":3}],"properties":{"Node name for 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475:`{"last_node_id":45,"last_link_id":63,"nodes":[{"id":26,"type":"EmptyLatentImage","pos":[418,183],"size":{"0":315,"1":106},"flags":{},"order":0,"mode":0,"outputs":[{"name":"LATENT","type":"LATENT","links":[29],"shape":3}],"properties":{"Node name for S&R":"EmptyLatentImage"},"widgets_values":[512,768,1]},{"id":23,"type":"CheckpointLoaderSimple","pos":[10,441],"size":{"0":315,"1":98},"flags":{},"order":1,"mode":0,"outputs":[{"name":"MODEL","type":"MODEL","links":[24,37,45],"shape":3},{"name":"CLIP","type":"CLIP","links":[27,28,41,49],"shape":3,"slot_index":1},{"name":"VAE","type":"VAE","links":[],"shape":3,"slot_index":2}],"properties":{"Node name for S&R":"CheckpointLoaderSimple"},"widgets_values":["dreamshaper_8.safetensors"]},{"id":28,"type":"VAELoader","pos":[7,595],"size":{"0":315,"1":58},"flags":{},"order":2,"mode":0,"outputs":[{"name":"VAE","type":"VAE","links":[33,43,51],"shape":3}],"properties":{"Node name for 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}
},
// templates
{
title:"Basic SD1.5 Workflow",
type:'template',
thumbnail:'https://cdn.openart.ai/workflow_thumbnails/4pYEgRw3JXVFu5elJKeR/image_OOJIcZFT_1702943704029_raw.jpg',
description:`This workflow simply
- loads a model
- allows you to enter positive negative prompt
- allows you to adjust basic configurations like seeds, steps etc
and generates an image.`,
categories:[categories[1]],
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},
{
title:"Basic SDXL + Refiner Workflow ",
type:'template',
thumbnail:'https://cdn.openart.ai/workflow_thumbnails/4pYEgRw3JXVFu5elJKeR/webp_a-dC4aL0_1702943892767_raw.webp',
description:`This workflow adds a refiner model on topic of the <a target="_blank" href="https://openart.ai/workflows/openart/basic-sdxl-workflow/P8VEtDSQGYf4pOugtnvO"> basic SDXL workflow</a>.
The core of the composition is created by the base SDXL model and the refiner takes care of the minutiae. The refiner helps improve the quality of the generated image.`,
categories:[categories[1]],
initialWorkflow:`{"last_node_id":46,"last_link_id":76,"nodes":[{"id":4,"type":"CheckpointLoaderSimple","pos":[30,50],"size":{"0":328.5366516113281,"1":98},"flags":{},"order":0,"mode":0,"outputs":[{"name":"MODEL","type":"MODEL","links":[53],"slot_index":0},{"name":"CLIP","type":"CLIP","links":[49,50],"slot_index":1},{"name":"VAE","type":"VAE","links":[],"slot_index":2}],"properties":{"Node name for S&R":"CheckpointLoaderSimple"},"widgets_values":["sdxl/sd_xl_base_1.0_0.9vae.safetensors"]},{"id":5,"type":"EmptyLatentImage","pos":[860,440],"size":{"0":220,"1":106},"flags":{},"order":1,"mode":0,"outputs":[{"name":"LATENT","type":"LATENT","links":[54],"slot_index":0}],"properties":{"Node name for S&R":"EmptyLatentImage"},"widgets_values":[1024,1024,1]},{"id":35,"type":"Note","pos":[464,-235],"size":[330.7162916580676,95.14419681769738],"flags":{},"order":2,"mode":0,"properties":{"text":""},"widgets_values":["Note that we send the same prompt to both TEXT_G and TEXT_L, you can experiment 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minutiae."],"color":"#432","bgcolor":"#653"},{"id":29,"type":"Note","pos":[1113,602],"size":[218.08512297100106,207.59243181905276],"flags":{},"order":11,"mode":0,"properties":{"text":""},"widgets_values":["We are using primitives here to sync the base and the refiner.\\n\\nTOTAL STEPS is the total number of steps, STEPS SPENT ON BASE is the number of steps spent on the BASE model, the remaining will be handled by the REFINER.\\n\\nOf course total steps must be > steps spent on base."],"color":"#432","bgcolor":"#653"},{"id":38,"type":"KSamplerAdvanced","pos":[1950,-140],"size":[315,334],"flags":{},"order":19,"mode":0,"inputs":[{"name":"model","type":"MODEL","link":62},{"name":"positive","type":"CONDITIONING","link":67},{"name":"negative","type":"CONDITIONING","link":68},{"name":"latent_image","type":"LATENT","link":59},{"name":"steps","type":"INT","link":74,"widget":{"name":"steps"}},{"name":"start_at_step","type":"INT","link":76,"widget":{"name":"start_at_step"}}],"outputs":[{"name":"LATENT","type":"LATENT","links":[69],"shape":3,"slot_index":0}],"properties":{"Node name for S&R":"KSamplerAdvanced"},"widgets_values":["disable",503501541605374,"fixed",30,6.5,"dpmpp_2m_sde","karras",25,10000,"disable"]},{"id":46,"type":"Note","pos":[1574,221],"size":[331.40839613549724,180.21395530098778],"flags":{},"order":12,"mode":0,"properties":{"text":""},"widgets_values":["ADVANCED KSAMPLER\\n=================\\n\\nNote that the first ksampler (base) has RETURN_WITH_LEFTOVER_NOISE enabled and the second (refiner) had ADD_NOISE disabled.\\n\\nThe first ksampler stops the generation at 25 steps and it's taken back from the refiner that generates the last 5 steps."],"color":"#432","bgcolor":"#653"},{"id":34,"type":"Note","pos":[870,-300],"size":[210,130],"flags":{},"order":13,"mode":0,"properties":{"text":""},"widgets_values":["WIDTH/HEIGHT and TARGET_WIDTH/HEIGHT are both 4 times the latent size.\\n\\nThis generally grants a higher definition 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},
{
title:"Basic SDXL Workflow",
type:'template',
thumbnail:'https://cdn.openart.ai/workflow_thumbnails/4pYEgRw3JXVFu5elJKeR/webp_3jwAAwSV_1702934538301_raw.webp',
description:`This basic workflow runs the base SDXL model with some optimization for SDXL. This can be useful for systems with limited resources as the refiner takes another 6GB or ram.`,
categories:[categories[1]],
initialWorkflow:`{"last_node_id":35,"last_link_id":52,"nodes":[{"id":4,"type":"CheckpointLoaderSimple","pos":[30,50],"size":{"0":328.5366516113281,"1":98},"flags":{},"order":0,"mode":0,"outputs":[{"name":"MODEL","type":"MODEL","links":[20],"slot_index":0},{"name":"CLIP","type":"CLIP","links":[49,50],"slot_index":1},{"name":"VAE","type":"VAE","links":[43],"slot_index":2}],"properties":{"Node name for S&R":"CheckpointLoaderSimple"},"widgets_values":["sdxl/sd_xl_base_1.0_0.9vae.safetensors"]},{"id":33,"type":"CLIPTextEncodeSDXL","pos":[860,160],"size":{"0":220,"1":220},"flags":{},"order":8,"mode":0,"inputs":[{"name":"clip","type":"CLIP","link":50},{"name":"text_g","type":"STRING","link":47,"widget":{"name":"text_g"},"slot_index":1},{"name":"text_l","type":"STRING","link":48,"widget":{"name":"text_l"}}],"outputs":[{"name":"CONDITIONING","type":"CONDITIONING","links":[51],"shape":3,"slot_index":0}],"properties":{"Node name for S&R":"CLIPTextEncodeSDXL"},"widgets_values":[4096,4096,0,0,4096,4096,"blurry, animation, 3d render, illustration, toy, puppet, claymation, low quality, flag, nasa, mission patch","blurry, animation, 3d render, illustration, toy, puppet, claymation, low quality, flag, nasa, mission patch"]},{"id":30,"type":"CLIPTextEncodeSDXL","pos":[860,-120],"size":{"0":220,"1":220},"flags":{},"order":9,"mode":0,"inputs":[{"name":"clip","type":"CLIP","link":49},{"name":"text_g","type":"STRING","link":45,"widget":{"name":"text_g"},"slot_index":1},{"name":"text_l","type":"STRING","link":46,"widget":{"name":"text_l"}}],"outputs":[{"name":"CONDITIONING","type":"CONDITIONING","links":[52],"shape":3,"slot_index":0}],"properties":{"Node name for S&R":"CLIPTextEncodeSDXL"},"widgets_values":[4096,4096,0,0,4096,4096,"a photo of an anthropomorphic fox wearing a spacesuit inside a sci-fi spaceship\\n\\ncinematic, dramatic lighting, high resolution, detailed, 4k","a photo of an anthropomorphic fox wearing a spacesuit inside a sci-fi spaceship\\n\\ncinematic, dramatic lighting, high resolution, detailed, 4k"]},{"id":3,"type":"KSampler","pos":[1190,30],"size":{"0":300,"1":262},"flags":{},"order":10,"mode":0,"inputs":[{"name":"model","type":"MODEL","link":20},{"name":"positive","type":"CONDITIONING","link":52},{"name":"negative","type":"CONDITIONING","link":51},{"name":"latent_image","type":"LATENT","link":2}],"outputs":[{"name":"LATENT","type":"LATENT","links":[42],"slot_index":0}],"properties":{"Node name for S&R":"KSampler"},"widgets_values":[2,"fixed",25,6.5,"dpmpp_2m_sde","exponential",1]},{"id":5,"type":"EmptyLatentImage","pos":[860,440],"size":{"0":220,"1":106},"flags":{},"order":1,"mode":0,"outputs":[{"name":"LATENT","type":"LATENT","links":[2],"slot_index":0}],"properties":{"Node name for S&R":"EmptyLatentImage"},"widgets_values":[1024,1024,1]},{"id":11,"type":"Note","pos":[80,-200],"size":[282.48542674442217,197.05842985845334],"flags":{},"order":2,"mode":0,"properties":{"text":""},"widgets_values":["BASIC SDXL WORKFLOW WITH BASE MODEL ONLY\\n========================================\\n\\nThis basic workflow only uses the BASE SDXL model. 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},
{
title:"Basic Second-Pass Workflow",
type:'template',
thumbnail:'https://cdn.openart.ai/workflow_thumbnails/4pYEgRw3JXVFu5elJKeR/image_jRx2H_U5_1702943992821_raw.jpg',
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},
]
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