Commits · yeq6x/Image2Body

.

43a7729

yeq6x commited on 6 days ago

feedback

1aaeb30

yeq6x commited on 6 days ago

set_lora_device

a742794

yeq6x commited on Jul 11

set_lora_device

4c75bd8

yeq6x commited on Jul 11

set_lora_device

c3251dc

yeq6x commited on Jul 11

set_lora_device

d81c6ca

yeq6x commited on Jul 11

set_lora_device

2c835e6

yeq6x commited on Jul 11

test lora load

76f40f6

yeq6x commited on Jul 11

test lora load

20c499b

yeq6x commited on Jul 11

off init_model gpu

c4a8a06

yeq6x commited on Jul 11

off lora

509663d

yeq6x commited on Jul 11

to(device)

7d158d5

yeq6x commited on Jul 11

to(device)

098cbc8

yeq6x commited on Jul 11

with torch.autocast('cuda'):

17e3bae

yeq6x commited on Jul 11

with torch.autocast('cuda'):

e126b30

yeq6x commited on Jul 11

with torch.autocast('cuda'):

5b26223

yeq6x commited on Jul 11

with torch.autocast('cuda'):

425b92a

yeq6x commited on Jul 11

rm cuda() and add variant=fp16

b40896d

yeq6x commited on Jul 10

.cuda()

5ee59f2

yeq6x commited on Jul 10

print(pipe.device)

25a5b2b

yeq6x commited on Jul 10

@spaces.GPU

a42464d

yeq6x commited on Jul 10

@spaces.GPU

099b913

yeq6x commited on Jul 10

@spaces.GPU

e7d7d62

yeq6x commited on Jul 10

デコレータを最小スコープに

c8099eb

yeq6x commited on Jul 10

rm .to(device)

d086933

yeq6x commited on Jul 10

@spaces.GPU

79cb9f3

yeq6x commited on Jul 10

refactor

ce12cd7

yeq6x commited on Jul 7

rm os.path.join

9a157ab

yeq6x commited on Jul 7

modified

9214654

yeq6x commited on Jul 7

deviceをglobalに直す

fca9328

yeq6x commited on Jul 7

fix

d7efa60

yeq6x commited on Jul 7

Dockerfile(redis), model.py(dir), requirements.txt(redis,flask-limiter), app.py(bug fix)

b6c9f2e

yeq6x commited on Jul 7

use_local編集

bd4674a

yeq6x commited on Jul 7

Dockerfile

d9b35ec

yeq6x commited on Jul 6

dotenv

d705298

yeq6x commited on Jul 6

prepare spaces

721391f

yeq6x commited on Jul 6

Spaces:

yeq6x
/

Image2Body_gradio

Running on Zero

Commit History

.

43a7729

feedback

1aaeb30

set_lora_device

a742794

set_lora_device

4c75bd8

set_lora_device

c3251dc

set_lora_device

d81c6ca

set_lora_device

2c835e6

test lora load

76f40f6

test lora load

20c499b

off init_model gpu

c4a8a06

off lora

509663d

to(device)

7d158d5

to(device)

098cbc8

with torch.autocast('cuda'):

17e3bae

with torch.autocast('cuda'):

e126b30

with torch.autocast('cuda'):

5b26223

with torch.autocast('cuda'):

425b92a

rm cuda() and add variant=fp16

b40896d

.cuda()

5ee59f2

print(pipe.device)

25a5b2b

@spaces.GPU

a42464d

@spaces.GPU

099b913

@spaces.GPU

e7d7d62

デコレータを最小スコープに

c8099eb

rm .to(device)

d086933

@spaces.GPU

79cb9f3

refactor

ce12cd7

rm os.path.join

9a157ab

modified

9214654

deviceをglobalに直す

fca9328

fix

d7efa60

Dockerfile(redis), model.py(dir), requirements.txt(redis,flask-limiter), app.py(bug fix)

b6c9f2e

use_local編集

bd4674a

Dockerfile

d9b35ec

dotenv

d705298

prepare spaces

721391f

Commit History

. 43a7729

feedback 1aaeb30

set_lora_device a742794

set_lora_device 4c75bd8

set_lora_device c3251dc

set_lora_device d81c6ca

set_lora_device 2c835e6

test lora load 76f40f6

test lora load 20c499b

off init_model gpu c4a8a06

off lora 509663d

to(device) 7d158d5

to(device) 098cbc8

with torch.autocast('cuda'): 17e3bae

with torch.autocast('cuda'): e126b30

with torch.autocast('cuda'): 5b26223

with torch.autocast('cuda'): 425b92a

rm cuda() and add variant=fp16 b40896d

.cuda() 5ee59f2

print(pipe.device) 25a5b2b

@spaces.GPU a42464d

@spaces.GPU 099b913

@spaces.GPU e7d7d62

デコレータを最小スコープに c8099eb

rm .to(device) d086933

@spaces.GPU 79cb9f3

refactor ce12cd7

rm os.path.join 9a157ab

modified 9214654

deviceをglobalに直す fca9328

fix d7efa60

Dockerfile(redis), model.py(dir), requirements.txt(redis,flask-limiter), app.py(bug fix) b6c9f2e

use_local編集 bd4674a

Dockerfile d9b35ec

dotenv d705298

prepare spaces 721391f

.

43a7729

feedback

1aaeb30

set_lora_device

a742794

set_lora_device

4c75bd8

set_lora_device

c3251dc

set_lora_device

d81c6ca

set_lora_device

2c835e6

test lora load

76f40f6

test lora load

20c499b

off init_model gpu

c4a8a06

off lora

509663d

to(device)

7d158d5

to(device)

098cbc8

with torch.autocast('cuda'):

17e3bae

with torch.autocast('cuda'):

e126b30

with torch.autocast('cuda'):

5b26223

with torch.autocast('cuda'):

425b92a

rm cuda() and add variant=fp16

b40896d

.cuda()

5ee59f2

print(pipe.device)

25a5b2b

@spaces.GPU

a42464d

@spaces.GPU

099b913

@spaces.GPU

e7d7d62

デコレータを最小スコープに

c8099eb

rm .to(device)

d086933

@spaces.GPU

79cb9f3

refactor

ce12cd7

rm os.path.join

9a157ab

modified

9214654

deviceをglobalに直す

fca9328

fix

d7efa60

Dockerfile(redis), model.py(dir), requirements.txt(redis,flask-limiter), app.py(bug fix)

b6c9f2e

use_local編集

bd4674a

Dockerfile

d9b35ec

dotenv

d705298

prepare spaces

721391f