Аренда GPU для Stable Diffusion 3.5
запуск за 5 минут,
от 79 ₽/час

# Клон ComfyUI
git clone https://github.com/comfyanonymous/ComfyUI && cd ComfyUI
python3 -m venv venv && source venv/bin/activate
# Pre-install torch+cu128 (под driver 570.x)
pip install torch torchvision torchaudio \
  --index-url https://download.pytorch.org/whl/cu128
pip install -r requirements.txt

# Скачиваем веса (нужен HF token, агентим accept license)
hf auth login
hf download stabilityai/stable-diffusion-3.5-large \
  sd3.5_large.safetensors --local-dir models/checkpoints/
hf download stabilityai/stable-diffusion-3.5-large \
  text_encoders/clip_g.safetensors text_encoders/clip_l.safetensors \
  text_encoders/t5xxl_fp16.safetensors --local-dir models/clip/

# Запуск (UI на http://0.0.0.0:8188)
python3 main.py --listen 0.0.0.0 --port 8188

# Установка зависимостей
pip install --upgrade diffusers transformers accelerate sentencepiece protobuf
hf auth login  # accept license на странице модели

# inference.py
import torch
from diffusers import StableDiffusion3Pipeline

pipe = StableDiffusion3Pipeline.from_pretrained(
    'stabilityai/stable-diffusion-3.5-large',
    torch_dtype=torch.bfloat16,
).to('cuda')

image = pipe(
    'A capybara holding a sign that reads Hello World',
    num_inference_steps=28,
    guidance_scale=3.5,
    height=1024, width=1024,
).images[0]
image.save('out.png')

# Клон Forge
git clone https://github.com/lllyasviel/stable-diffusion-webui-forge
cd stable-diffusion-webui-forge

# Положить веса в models/Stable-diffusion/
wget -O models/Stable-diffusion/sd3.5_large.safetensors \
  https://huggingface.co/stabilityai/stable-diffusion-3.5-large/resolve/main/sd3.5_large.safetensors

# Запуск (UI на http://0.0.0.0:7860)
./webui.sh --listen --port 7860 --xformers

# Запускаем в venv из метода "diffusers + Python":
source /opt/sd35/bin/activate

python3 - <<'PY'
import torch
from diffusers import StableDiffusion3Pipeline

pipe = StableDiffusion3Pipeline.from_pretrained(
    'stabilityai/stable-diffusion-3.5-large-turbo',
    torch_dtype=torch.bfloat16,
).to('cuda')

# Turbo: всего 4 шага, guidance_scale=0
image = pipe(
    'cinematic photo of a wolf in a snowy forest, 35mm film',
    num_inference_steps=4,
    guidance_scale=0.0,
    height=1024, width=1024,
).images[0]
image.save('turbo.png')
PY