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# Unconditional μ΄λ―Έμ§ μμ±
unconditional μ΄λ―Έμ§ μμ±μ text-to-image λλ image-to-image λͺ¨λΈκ³Ό λ¬λ¦¬ ν
μ€νΈλ μ΄λ―Έμ§μ λν μ‘°κ±΄μ΄ μμ΄ νμ΅ λ°μ΄ν° λΆν¬μ μ μ¬ν μ΄λ―Έμ§λ§μ μμ±ν©λλ€.
<iframe
src="https://stevhliu-ddpm-butterflies-128.hf.space"
frameborder="0"
width="850"
height="550"
></iframe>
μ΄ κ°μ΄λμμλ κΈ°μ‘΄μ μ‘΄μ¬νλ λ°μ΄ν°μ
κ³Ό μμ λ§μ 컀μ€ν
λ°μ΄ν°μ
μ λν΄ unconditional image generation λͺ¨λΈμ νλ ¨νλ λ°©λ²μ μ€λͺ
ν©λλ€. νλ ¨ μΈλΆ μ¬νμ λν΄ λ μμΈν μκ³ μΆλ€λ©΄ unconditional image generationμ μν λͺ¨λ νμ΅ μ€ν¬λ¦½νΈλ₯Ό [μ¬κΈ°](https://github.com/huggingface/diffusers/tree/main/examples/unconditional_image_generation)μμ νμΈν μ μμ΅λλ€.
μ€ν¬λ¦½νΈλ₯Ό μ€ννκΈ° μ , λ¨Όμ μμ‘΄μ± λΌμ΄λΈλ¬λ¦¬λ€μ μ€μΉν΄μΌ ν©λλ€.
```bash
pip install diffusers[training] accelerate datasets
```
κ·Έ λ€μ π€ [Accelerate](https://github.com/huggingface/accelerate/) νκ²½μ μ΄κΈ°νν©λλ€.
```bash
accelerate config
```
λ³λμ μ€μ μμ΄ κΈ°λ³Έ μ€μ μΌλ‘ π€ [Accelerate](https://github.com/huggingface/accelerate/) νκ²½μ μ΄κΈ°νν΄λ΄
μλ€.
```bash
accelerate config default
```
λ
ΈνΈλΆκ³Ό κ°μ λνν μμ μ§μνμ§ μλ νκ²½μ κ²½μ°, λ€μκ³Ό κ°μ΄ μ¬μ©ν΄λ³Ό μλ μμ΅λλ€.
```py
from accelerate.utils import write_basic_config
write_basic_config()
```
## λͺ¨λΈμ νλΈμ μ
λ‘λνκΈ°
νμ΅ μ€ν¬λ¦½νΈμ λ€μ μΈμλ₯Ό μΆκ°νμ¬ νλΈμ λͺ¨λΈμ μ
λ‘λν μ μμ΅λλ€.
```bash
--push_to_hub
```
## 체ν¬ν¬μΈνΈ μ μ₯νκ³ λΆλ¬μ€κΈ°
νλ ¨ μ€ λ¬Έμ κ° λ°μν κ²½μ°λ₯Ό λλΉνμ¬ μ²΄ν¬ν¬μΈνΈλ₯Ό μ κΈ°μ μΌλ‘ μ μ₯νλ κ²μ΄ μ’μ΅λλ€. 체ν¬ν¬μΈνΈλ₯Ό μ μ₯νλ €λ©΄ νμ΅ μ€ν¬λ¦½νΈμ λ€μ μΈμλ₯Ό μ λ¬ν©λλ€:
```bash
--checkpointing_steps=500
```
μ 체 νλ ¨ μνλ 500μ€ν
λ§λ€ `output_dir`μ νμ ν΄λμ μ μ₯λλ©°, νμ΅ μ€ν¬λ¦½νΈμ `--resume_from_checkpoint` μΈμλ₯Ό μ λ¬ν¨μΌλ‘μ¨ μ²΄ν¬ν¬μΈνΈλ₯Ό λΆλ¬μ€κ³ νλ ¨μ μ¬κ°ν μ μμ΅λλ€.
```bash
--resume_from_checkpoint="checkpoint-1500"
```
## νμΈνλ
μ΄μ νμ΅ μ€ν¬λ¦½νΈλ₯Ό μμν μ€λΉκ° λμμ΅λλ€! `--dataset_name` μΈμμ νμΈνλν λ°μ΄ν°μ
μ΄λ¦μ μ§μ ν λ€μ, `--output_dir` μΈμμ μ§μ λ κ²½λ‘λ‘ μ μ₯ν©λλ€. λ³ΈμΈλ§μ λ°μ΄ν°μ
λ₯Ό μ¬μ©νλ €λ©΄, [νμ΅μ© λ°μ΄ν°μ
λ§λ€κΈ°](create_dataset) κ°μ΄λλ₯Ό μ°Έμ‘°νμΈμ.
νμ΅ μ€ν¬λ¦½νΈλ `diffusion_pytorch_model.bin` νμΌμ μμ±νκ³ , κ·Έκ²μ λΉμ μ 리ν¬μ§ν 리μ μ μ₯ν©λλ€.
<Tip>
π‘ μ 체 νμ΅μ V100 GPU 4κ°λ₯Ό μ¬μ©ν κ²½μ°, 2μκ°μ΄ μμλ©λλ€.
</Tip>
μλ₯Ό λ€μ΄, [Oxford Flowers](https://huggingface.co/datasets/huggan/flowers-102-categories) λ°μ΄ν°μ
μ μ¬μ©ν΄ νμΈνλν κ²½μ°:
```bash
accelerate launch train_unconditional.py \
--dataset_name="huggan/flowers-102-categories" \
--resolution=64 \
--output_dir="ddpm-ema-flowers-64" \
--train_batch_size=16 \
--num_epochs=100 \
--gradient_accumulation_steps=1 \
--learning_rate=1e-4 \
--lr_warmup_steps=500 \
--mixed_precision=no \
--push_to_hub
```
<div class="flex justify-center">
<img src="https://user-images.githubusercontent.com/26864830/180248660-a0b143d0-b89a-42c5-8656-2ebf6ece7e52.png"/>
</div>
[Naruto](https://huggingface.co/datasets/lambdalabs/naruto-blip-captions) λ°μ΄ν°μ
μ μ¬μ©ν κ²½μ°:
```bash
accelerate launch train_unconditional.py \
--dataset_name="lambdalabs/naruto-blip-captions" \
--resolution=64 \
--output_dir="ddpm-ema-naruto-64" \
--train_batch_size=16 \
--num_epochs=100 \
--gradient_accumulation_steps=1 \
--learning_rate=1e-4 \
--lr_warmup_steps=500 \
--mixed_precision=no \
--push_to_hub
```
<div class="flex justify-center">
<img src="https://user-images.githubusercontent.com/26864830/180248200-928953b4-db38-48db-b0c6-8b740fe6786f.png"/>
</div>
### μ¬λ¬κ°μ GPUλ‘ νλ ¨νκΈ°
`accelerate`μ μ¬μ©νλ©΄ μνν λ€μ€ GPU νλ ¨μ΄ κ°λ₯ν©λλ€. `accelerate`μ μ¬μ©νμ¬ λΆμ° νλ ¨μ μ€ννλ €λ©΄ [μ¬κΈ°](https://huggingface.co/docs/accelerate/basic_tutorials/launch) μ§μΉ¨μ λ°λ₯΄μΈμ. λ€μμ λͺ
λ Ήμ΄ μμ μ
λλ€.
```bash
accelerate launch --mixed_precision="fp16" --multi_gpu train_unconditional.py \
--dataset_name="lambdalabs/naruto-blip-captions" \
--resolution=64 --center_crop --random_flip \
--output_dir="ddpm-ema-naruto-64" \
--train_batch_size=16 \
--num_epochs=100 \
--gradient_accumulation_steps=1 \
--use_ema \
--learning_rate=1e-4 \
--lr_warmup_steps=500 \
--mixed_precision="fp16" \
--logger="wandb" \
--push_to_hub
```
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