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'use client';
import { options, modelArchs, isVideoModelFromArch } from './options';
import { defaultDatasetConfig } from './jobConfig';
import { JobConfig } from '@/types';
import { objectCopy } from '@/utils/basic';
import { TextInput, SelectInput, Checkbox, FormGroup, NumberInput } from '@/components/formInputs';
import Card from '@/components/Card';
import { X } from 'lucide-react';
type Props = {
jobConfig: JobConfig;
setJobConfig: (value: any, key: string) => void;
status: 'idle' | 'saving' | 'success' | 'error';
handleSubmit: (event: React.FormEvent<HTMLFormElement>) => void;
runId: string | null;
gpuIDs: string | null;
setGpuIDs: (value: string | null) => void;
gpuList: any;
datasetOptions: any;
};
const isDev = process.env.NODE_ENV === 'development';
export default function SimpleJob({
jobConfig,
setJobConfig,
handleSubmit,
status,
runId,
gpuIDs,
setGpuIDs,
gpuList,
datasetOptions,
}: Props) {
const isVideoModel = isVideoModelFromArch(jobConfig.config.process[0].model.arch);
return (
<>
<form onSubmit={handleSubmit} className="space-y-8">
<div className="grid grid-cols-1 md:grid-cols-2 lg:grid-cols-4 gap-6">
<Card title="Job Settings">
<TextInput
label="Training Name"
value={jobConfig.config.name}
onChange={value => setJobConfig(value, 'config.name')}
placeholder="Enter training name"
disabled={runId !== null}
required
/>
<SelectInput
label="GPU ID"
value={`${gpuIDs}`}
onChange={value => setGpuIDs(value)}
options={gpuList.map((gpu: any) => ({ value: `${gpu.index}`, label: `GPU #${gpu.index}` }))}
/>
<TextInput
label="Trigger Word"
value={jobConfig.config.process[0].trigger_word || ''}
onChange={(value: string | null) => {
if (value?.trim() === '') {
value = null;
}
setJobConfig(value, 'config.process[0].trigger_word');
}}
placeholder=""
required
/>
</Card>
{/* Model Configuration Section */}
<Card title="Model Configuration">
<SelectInput
label="Name or Path"
value={jobConfig.config.process[0].model.name_or_path}
onChange={value => {
// see if model changed
const currentModel = options.model.find(
model => model.name_or_path === jobConfig.config.process[0].model.name_or_path,
);
if (!currentModel || currentModel.name_or_path === value) {
// model has not changed
return;
}
// revert defaults from previous model
for (const key in currentModel.defaults) {
setJobConfig(currentModel.defaults[key][1], key);
}
// set new model
setJobConfig(value, 'config.process[0].model.name_or_path');
// update the defaults when a model is selected
const model = options.model.find(model => model.name_or_path === value);
if (model?.defaults) {
for (const key in model.defaults) {
setJobConfig(model.defaults[key][0], key);
}
}
}}
options={
options.model
.map(model => {
if (model.dev_only && !isDev) {
return null;
}
return {
value: model.name_or_path,
label: model.name_or_path,
};
})
.filter(x => x) as { value: string; label: string }[]
}
/>
<SelectInput
label="Model Architecture"
value={jobConfig.config.process[0].model.arch}
onChange={value => {
const currentArch = modelArchs.find(a => a.name === jobConfig.config.process[0].model.arch);
if (!currentArch || currentArch.name === value) {
return;
}
// set new model
setJobConfig(value, 'config.process[0].model.arch');
}}
options={
modelArchs
.map(model => {
return {
value: model.name,
label: model.label,
};
})
.filter(x => x) as { value: string; label: string }[]
}
/>
<FormGroup label="Quantize">
<div className="grid grid-cols-2 gap-2">
<Checkbox
label="Transformer"
checked={jobConfig.config.process[0].model.quantize}
onChange={value => setJobConfig(value, 'config.process[0].model.quantize')}
/>
<Checkbox
label="Text Encoder"
checked={jobConfig.config.process[0].model.quantize_te}
onChange={value => setJobConfig(value, 'config.process[0].model.quantize_te')}
/>
</div>
</FormGroup>
</Card>
<Card title="Target Configuration">
<SelectInput
label="Target Type"
value={jobConfig.config.process[0].network?.type ?? 'lora'}
onChange={value => setJobConfig(value, 'config.process[0].network.type')}
options={[
{ value: 'lora', label: 'LoRA' },
{ value: 'lokr', label: 'LoKr' },
]}
/>
{jobConfig.config.process[0].network?.type == 'lokr' && (
<SelectInput
label="LoKr Factor"
value={`${jobConfig.config.process[0].network?.lokr_factor ?? -1}`}
onChange={value => setJobConfig(parseInt(value), 'config.process[0].network.lokr_factor')}
options={[
{ value: '-1', label: 'Auto' },
{ value: '4', label: '4' },
{ value: '8', label: '8' },
{ value: '16', label: '16' },
{ value: '32', label: '32' },
]}
/>
)}
{jobConfig.config.process[0].network?.type == 'lora' && (
<NumberInput
label="Linear Rank"
value={jobConfig.config.process[0].network.linear}
onChange={value => {
console.log('onChange', value);
setJobConfig(value, 'config.process[0].network.linear');
setJobConfig(value, 'config.process[0].network.linear_alpha');
}}
placeholder="eg. 16"
min={0}
max={1024}
required
/>
)}
</Card>
<Card title="Save Configuration">
<SelectInput
label="Data Type"
value={jobConfig.config.process[0].save.dtype}
onChange={value => setJobConfig(value, 'config.process[0].save.dtype')}
options={[
{ value: 'bf16', label: 'BF16' },
{ value: 'fp16', label: 'FP16' },
{ value: 'fp32', label: 'FP32' },
]}
/>
<NumberInput
label="Save Every"
value={jobConfig.config.process[0].save.save_every}
onChange={value => setJobConfig(value, 'config.process[0].save.save_every')}
placeholder="eg. 250"
min={1}
required
/>
<NumberInput
label="Max Step Saves to Keep"
value={jobConfig.config.process[0].save.max_step_saves_to_keep}
onChange={value => setJobConfig(value, 'config.process[0].save.max_step_saves_to_keep')}
placeholder="eg. 4"
min={1}
required
/>
</Card>
</div>
<div>
<Card title="Training Configuration">
<div className="grid grid-cols-1 md:grid-cols-3 lg:grid-cols-5 gap-6">
<div>
<NumberInput
label="Batch Size"
value={jobConfig.config.process[0].train.batch_size}
onChange={value => setJobConfig(value, 'config.process[0].train.batch_size')}
placeholder="eg. 4"
min={1}
required
/>
<NumberInput
label="Gradient Accumulation"
className="pt-2"
value={jobConfig.config.process[0].train.gradient_accumulation}
onChange={value => setJobConfig(value, 'config.process[0].train.gradient_accumulation')}
placeholder="eg. 1"
min={1}
required
/>
<NumberInput
label="Steps"
className="pt-2"
value={jobConfig.config.process[0].train.steps}
onChange={value => setJobConfig(value, 'config.process[0].train.steps')}
placeholder="eg. 2000"
min={1}
required
/>
</div>
<div>
<SelectInput
label="Optimizer"
value={jobConfig.config.process[0].train.optimizer}
onChange={value => setJobConfig(value, 'config.process[0].train.optimizer')}
options={[
{ value: 'adamw8bit', label: 'AdamW8Bit' },
{ value: 'adafactor', label: 'Adafactor' },
]}
/>
<NumberInput
label="Learning Rate"
className="pt-2"
value={jobConfig.config.process[0].train.lr}
onChange={value => setJobConfig(value, 'config.process[0].train.lr')}
placeholder="eg. 0.0001"
min={0}
required
/>
<NumberInput
label="Weight Decay"
className="pt-2"
value={jobConfig.config.process[0].train.optimizer_params.weight_decay}
onChange={value => setJobConfig(value, 'config.process[0].train.optimizer_params.weight_decay')}
placeholder="eg. 0.0001"
min={0}
required
/>
</div>
<div>
<SelectInput
label="Timestep Type"
value={jobConfig.config.process[0].train.timestep_type}
onChange={value => setJobConfig(value, 'config.process[0].train.timestep_type')}
options={[
{ value: 'sigmoid', label: 'Sigmoid' },
{ value: 'linear', label: 'Linear' },
{ value: 'shift', label: 'Shift' },
]}
/>
<SelectInput
label="Timestep Bias"
className="pt-2"
value={jobConfig.config.process[0].train.content_or_style}
onChange={value => setJobConfig(value, 'config.process[0].train.content_or_style')}
options={[
{ value: 'balanced', label: 'Balanced' },
{ value: 'content', label: 'High Noise' },
{ value: 'style', label: 'Low Noise' },
]}
/>
<SelectInput
label="Noise Scheduler"
className="pt-2"
value={jobConfig.config.process[0].train.noise_scheduler}
onChange={value => setJobConfig(value, 'config.process[0].train.noise_scheduler')}
options={[
{ value: 'flowmatch', label: 'FlowMatch' },
{ value: 'ddpm', label: 'DDPM' },
]}
/>
</div>
<div>
<FormGroup label="EMA (Exponential Moving Average)">
<Checkbox
label="Use EMA"
className="pt-1"
checked={jobConfig.config.process[0].train.ema_config?.use_ema || false}
onChange={value => setJobConfig(value, 'config.process[0].train.ema_config.use_ema')}
/>
</FormGroup>
<NumberInput
label="EMA Decay"
className="pt-2"
value={jobConfig.config.process[0].train.ema_config?.ema_decay as number}
onChange={value => setJobConfig(value, 'config.process[0].train.ema_config?.ema_decay')}
placeholder="eg. 0.99"
min={0}
/>
<FormGroup label="Unload Text Encoder" className="pt-2">
<div className="grid grid-cols-2 gap-2">
<Checkbox
label="Unload TE"
checked={jobConfig.config.process[0].train.unload_text_encoder || false}
onChange={value => setJobConfig(value, 'config.process[0].train.unload_text_encoder')}
/>
</div>
</FormGroup>
</div>
<div>
<FormGroup label="Regularization">
<Checkbox
label="Differtial Output Preservation"
className="pt-1"
checked={jobConfig.config.process[0].train.diff_output_preservation || false}
onChange={value => setJobConfig(value, 'config.process[0].train.diff_output_preservation')}
/>
</FormGroup>
<NumberInput
label="DFE Loss Multiplier"
className="pt-2"
value={jobConfig.config.process[0].train.diff_output_preservation_multiplier as number}
onChange={value => setJobConfig(value, 'config.process[0].train.diff_output_preservation_multiplier')}
placeholder="eg. 1.0"
min={0}
/>
<TextInput
label="DFE Preservation Class"
className="pt-2"
value={jobConfig.config.process[0].train.diff_output_preservation_class as string}
onChange={value => setJobConfig(value, 'config.process[0].train.diff_output_preservation_class')}
placeholder="eg. woman"
/>
</div>
</div>
</Card>
</div>
<div>
<Card title="Datasets">
<>
{jobConfig.config.process[0].datasets.map((dataset, i) => (
<div key={i} className="p-4 rounded-lg bg-gray-800 relative">
<button
type="button"
onClick={() =>
setJobConfig(
jobConfig.config.process[0].datasets.filter((_, index) => index !== i),
'config.process[0].datasets',
)
}
className="absolute top-2 right-2 bg-red-800 hover:bg-red-700 rounded-full p-1 text-sm transition-colors"
>
<X />
</button>
<h2 className="text-lg font-bold mb-4">Dataset {i + 1}</h2>
<div className="grid grid-cols-1 md:grid-cols-2 lg:grid-cols-4 gap-6">
<div>
<SelectInput
label="Dataset"
value={dataset.folder_path}
onChange={value => setJobConfig(value, `config.process[0].datasets[${i}].folder_path`)}
options={datasetOptions}
/>
<NumberInput
label="LoRA Weight"
value={dataset.network_weight}
className="pt-2"
onChange={value => setJobConfig(value, `config.process[0].datasets[${i}].network_weight`)}
placeholder="eg. 1.0"
/>
</div>
<div>
<TextInput
label="Default Caption"
value={dataset.default_caption}
onChange={value => setJobConfig(value, `config.process[0].datasets[${i}].default_caption`)}
placeholder="eg. A photo of a cat"
/>
<NumberInput
label="Caption Dropout Rate"
className="pt-2"
value={dataset.caption_dropout_rate}
onChange={value => setJobConfig(value, `config.process[0].datasets[${i}].caption_dropout_rate`)}
placeholder="eg. 0.05"
min={0}
required
/>
</div>
<div>
<FormGroup label="Settings" className="">
<Checkbox
label="Cache Latents"
checked={dataset.cache_latents_to_disk || false}
onChange={value =>
setJobConfig(value, `config.process[0].datasets[${i}].cache_latents_to_disk`)
}
/>
<Checkbox
label="Is Regularization"
checked={dataset.is_reg || false}
onChange={value => setJobConfig(value, `config.process[0].datasets[${i}].is_reg`)}
/>
</FormGroup>
</div>
<div>
<FormGroup label="Resolutions" className="pt-2">
<div className="grid grid-cols-2 gap-2">
{[
[256, 512, 768],
[1024, 1280, 1536],
].map(resGroup => (
<div key={resGroup[0]} className="space-y-2">
{resGroup.map(res => (
<Checkbox
key={res}
label={res.toString()}
checked={dataset.resolution.includes(res)}
onChange={value => {
const resolutions = dataset.resolution.includes(res)
? dataset.resolution.filter(r => r !== res)
: [...dataset.resolution, res];
setJobConfig(resolutions, `config.process[0].datasets[${i}].resolution`);
}}
/>
))}
</div>
))}
</div>
</FormGroup>
</div>
</div>
</div>
))}
<button
type="button"
onClick={() =>
setJobConfig(
[...jobConfig.config.process[0].datasets, objectCopy(defaultDatasetConfig)],
'config.process[0].datasets',
)
}
className="w-full px-4 py-2 bg-gray-700 hover:bg-gray-600 rounded-lg transition-colors"
>
Add Dataset
</button>
</>
</Card>
</div>
<div>
<Card title="Sample Configuration">
<div
className={
isVideoModel
? 'grid grid-cols-1 md:grid-cols-3 lg:grid-cols-5 gap-6'
: 'grid grid-cols-1 md:grid-cols-2 lg:grid-cols-4 gap-6'
}
>
<div>
<NumberInput
label="Sample Every"
value={jobConfig.config.process[0].sample.sample_every}
onChange={value => setJobConfig(value, 'config.process[0].sample.sample_every')}
placeholder="eg. 250"
min={1}
required
/>
<SelectInput
label="Sampler"
className="pt-2"
value={jobConfig.config.process[0].sample.sampler}
onChange={value => setJobConfig(value, 'config.process[0].sample.sampler')}
options={[
{ value: 'flowmatch', label: 'FlowMatch' },
{ value: 'ddpm', label: 'DDPM' },
]}
/>
</div>
<div>
<NumberInput
label="Guidance Scale"
value={jobConfig.config.process[0].sample.guidance_scale}
onChange={value => setJobConfig(value, 'config.process[0].sample.guidance_scale')}
placeholder="eg. 1.0"
min={0}
required
/>
<NumberInput
label="Sample Steps"
value={jobConfig.config.process[0].sample.sample_steps}
onChange={value => setJobConfig(value, 'config.process[0].sample.sample_steps')}
placeholder="eg. 1"
className="pt-2"
min={1}
required
/>
</div>
<div>
<NumberInput
label="Width"
value={jobConfig.config.process[0].sample.width}
onChange={value => setJobConfig(value, 'config.process[0].sample.width')}
placeholder="eg. 1024"
min={0}
required
/>
<NumberInput
label="Height"
value={jobConfig.config.process[0].sample.height}
onChange={value => setJobConfig(value, 'config.process[0].sample.height')}
placeholder="eg. 1024"
className="pt-2"
min={0}
required
/>
</div>
<div>
<NumberInput
label="Seed"
value={jobConfig.config.process[0].sample.seed}
onChange={value => setJobConfig(value, 'config.process[0].sample.seed')}
placeholder="eg. 0"
min={0}
required
/>
<Checkbox
label="Walk Seed"
className="pt-4 pl-2"
checked={jobConfig.config.process[0].sample.walk_seed}
onChange={value => setJobConfig(value, 'config.process[0].sample.walk_seed')}
/>
</div>
{isVideoModel && (
<div>
<NumberInput
label="Num Frames"
value={jobConfig.config.process[0].sample.num_frames}
onChange={value => setJobConfig(value, 'config.process[0].sample.num_frames')}
placeholder="eg. 0"
min={0}
required
/>
<NumberInput
label="FPS"
value={jobConfig.config.process[0].sample.fps}
onChange={value => setJobConfig(value, 'config.process[0].sample.fps')}
placeholder="eg. 0"
min={0}
required
/>
</div>
)}
</div>
<FormGroup label={`Sample Prompts (${jobConfig.config.process[0].sample.prompts.length})`} className="pt-2">
{jobConfig.config.process[0].sample.prompts.map((prompt, i) => (
<div key={i} className="flex items-center space-x-2">
<div className="flex-1">
<TextInput
value={prompt}
onChange={value => setJobConfig(value, `config.process[0].sample.prompts[${i}]`)}
placeholder="Enter prompt"
required
/>
</div>
<div>
<button
type="button"
onClick={() =>
setJobConfig(
jobConfig.config.process[0].sample.prompts.filter((_, index) => index !== i),
'config.process[0].sample.prompts',
)
}
className="rounded-full p-1 text-sm"
>
<X />
</button>
</div>
</div>
))}
<button
type="button"
onClick={() =>
setJobConfig([...jobConfig.config.process[0].sample.prompts, ''], 'config.process[0].sample.prompts')
}
className="w-full px-4 py-2 bg-gray-700 hover:bg-gray-600 rounded-lg transition-colors"
>
Add Prompt
</button>
</FormGroup>
</Card>
</div>
{status === 'success' && <p className="text-green-500 text-center">Training saved successfully!</p>}
{status === 'error' && <p className="text-red-500 text-center">Error saving training. Please try again.</p>}
</form>
</>
);
}
|