extern/easydiffusion
1
0
Fork 1
mirror of https://github.com/easydiffusion/easydiffusion.git synced 2024-11-25 01:34:38 +01:00
Code Issues Packages Projects Releases Wiki Activity

Fix drag-and-drop and Use these Settings for LoRA

Browse Source
This commit is contained in:
cmdr2 2023-08-18 14:16:23 +05:30
parent a2d06f87f6
commit 67cae9725e
2 changed files with 76 additions and 47 deletions
Show Stats Download Patch File Download Diff File Expand all files Collapse all files

78
ui/media/js/dnd.js
View File

@ -292,39 +292,36 @@ const TASK_MAPPING = {
use_lora_model: {
name: "LoRA model",
setUI: (use_lora_model) => {
// create rows
for (let i = loraModels.length; i < use_lora_model.length; i++) {
createLoraEntry()
}
use_lora_model.forEach((model_name, i) => {
let field = loraModels[i][0]
const oldVal = field.value
if (model_name !== "") {
model_name = getModelPath(model_name, [".ckpt", ".safetensors"])
model_name = model_name !== "" ? model_name : oldVal
let modelPaths = []
use_lora_model.forEach((m) => {
if (m.includes("models\\lora\\")) {
m = m.split("models\\lora\\")[1]
} else if (m.includes("models\\\\lora\\\\")) {
m = m.split("models\\\\lora\\\\")[1]
} else if (m.includes("models/lora/")) {
m = m.split("models/lora/")[1]
}
field.value = model_name
m = m.replaceAll("\\\\", "/")
m = getModelPath(m, [".ckpt", ".safetensors"])
modelPaths.push(m)
})
// clear the remaining entries
let container = document.querySelector("#lora_model_container .model_entries")
for (let i = use_lora_model.length; i < loraModels.length; i++) {
let modelEntry = loraModels[i][2]
container.removeChild(modelEntry)
}
loraModels.splice(use_lora_model.length)
loraModelField.modelNames = modelPaths
},
readUI: () => {
let values = loraModels.map((e) => e[0].value)
values = values.filter((e) => e.trim() !== "")
values = values.length > 0 ? values : "None"
return values
return loraModelField.modelNames
},
parse: (val) => {
val = !val || val === "None" ? "" : val
if (typeof val === "string" && val.includes(",")) {
val = val.split(",")
val = val.map((v) => v.trim())
val = val.map((v) => v.replaceAll("\\", "\\\\"))
val = val.map((v) => v.replaceAll('"', ""))
val = val.map((v) => v.replaceAll("'", ""))
val = val.map((v) => '"' + v + '"')
val = "[" + val + "]"
val = JSON.parse(val)
}
val = Array.isArray(val) ? val : [val]
return val
},
@ -332,31 +329,16 @@ const TASK_MAPPING = {
lora_alpha: {
name: "LoRA Strength",
setUI: (lora_alpha) => {
for (let i = loraModels.length; i < lora_alpha.length; i++) {
createLoraEntry()
}
lora_alpha.forEach((model_strength, i) => {
let field = loraModels[i][1]
field.value = model_strength
})
// clear the remaining entries
let container = document.querySelector("#lora_model_container .model_entries")
for (let i = lora_alpha.length; i < loraModels.length; i++) {
let modelEntry = loraModels[i][2]
container.removeChild(modelEntry)
}
loraModels.splice(lora_alpha.length)
loraModelField.modelWeights = lora_alpha
},
readUI: () => {
let models = loraModels.filter((e) => e[0].value.trim() !== "")
let values = models.map((e) => e[1].value)
values = values.length > 0 ? values : 0
return values
return loraModelField.modelWeights
},
parse: (val) => {
if (typeof val === "string" && val.includes(",")) {
val = "[" + val.replaceAll("'", '"') + "]"
val = JSON.parse(val)
}
val = Array.isArray(val) ? val : [val]
val = val.map((e) => parseFloat(e))
return val
@ -569,6 +551,8 @@ const TASK_TEXT_MAPPING = {
use_stable_diffusion_model: "Stable Diffusion model",
use_hypernetwork_model: "Hypernetwork model",
hypernetwork_strength: "Hypernetwork Strength",
use_lora_model: "LoRA model",
lora_alpha: "LoRA Strength",
}
function parseTaskFromText(str) {
const taskReqBody = {}

45
ui/media/js/multi-model-selector.js
View File

@ -215,4 +215,49 @@ class MultiModelSelector {
get length() {
return this.modelContainer.childElementCount
}
get modelNames() {
return this.modelElements.map((e) => e.name.value)
}
set modelNames(newModelNames) {
this.resizeEntryList(newModelNames.length)
// assign to the corresponding elements
let currElements = this.modelElements
for (let i = 0; i < newModelNames.length; i++) {
let curr = currElements[i]
curr.name.value = newModelNames[i]
}
}
get modelWeights() {
return this.modelElements.map((e) => e.weight.value)
}
set modelWeights(newModelWeights) {
this.resizeEntryList(newModelWeights.length)
// assign to the corresponding elements
let currElements = this.modelElements
for (let i = 0; i < newModelWeights.length; i++) {
let curr = currElements[i]
curr.weight.value = newModelWeights[i]
}
}
resizeEntryList(newLength) {
let currLength = this.length
if (currLength < newLength) {
for (let i = currLength; i < newLength; i++) {
this.addModelEntry()
}
} else {
for (let i = newLength; i < currLength; i++) {
this.removeModelEntry()
}
}
}
}