File size: 2,153 Bytes
7f7272e | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 71 72 73 74 75 76 77 78 79 80 81 82 83 | import random
import torch
torch.cuda.set_device(0)
import cv2
import numpy as np
import sys
import os
sys.path.append(os.path.abspath(os.path.join(os.path.dirname(__file__), "..")))
print(sys.path)
from tools.run_infinity import *
model_path='weights/infinity_2b_reg.pth'
vae_path='weights/infinity_vae_d32_reg.pth'
text_encoder_ckpt = 'weights/flan-t5-xl'
args=argparse.Namespace(
pn='1M',
model_path=model_path,
cfg_insertion_layer=0,
vae_type=32,
vae_path=vae_path,
add_lvl_embeding_only_first_block=1,
use_bit_label=1,
model_type='infinity_2b',
rope2d_each_sa_layer=1,
rope2d_normalized_by_hw=2,
use_scale_schedule_embedding=0,
sampling_per_bits=1,
text_encoder_ckpt=text_encoder_ckpt,
text_channels=2048,
apply_spatial_patchify=0,
h_div_w_template=1.000,
use_flex_attn=0,
cache_dir='/dev/shm',
checkpoint_type='torch',
seed=0,
bf16=1,
save_file='tmp.jpg'
)
# load text encoder
text_tokenizer, text_encoder = load_tokenizer(t5_path=args.text_encoder_ckpt)
# load vae
vae = load_visual_tokenizer(args)
# load infinity
infinity = load_transformer(vae, args)
prompt = """a cat sitting next to a mirror"""
cfg = 3
tau = 0.5
h_div_w = 1/1 # aspect ratio, height:width
seed = random.randint(0, 10000)
enable_positive_prompt=0
h_div_w_template_ = h_div_w_templates[np.argmin(np.abs(h_div_w_templates-h_div_w))]
scale_schedule = dynamic_resolution_h_w[h_div_w_template_][args.pn]['scales']
scale_schedule = [(1, h, w) for (_, h, w) in scale_schedule]
generated_image = gen_one_img(
infinity,
vae,
text_tokenizer,
text_encoder,
prompt,
g_seed=seed,
gt_leak=0,
gt_ls_Bl=None,
cfg_list=cfg,
tau_list=tau,
scale_schedule=scale_schedule,
cfg_insertion_layer=[args.cfg_insertion_layer],
vae_type=args.vae_type,
sampling_per_bits=args.sampling_per_bits,
enable_positive_prompt=enable_positive_prompt,
)
args.save_file = 'cat.jpg'
os.makedirs(osp.dirname(osp.abspath(args.save_file)), exist_ok=True)
cv2.imwrite(args.save_file, generated_image.cpu().numpy())
print(f'Save to {osp.abspath(args.save_file)}') |