Spaces:
Sleeping
Sleeping
File size: 2,380 Bytes
f7516d1 e827598 f4476fb e827598 2ac3002 8ae5b18 e827598 8ae5b18 e827598 523eec4 f7516d1 523eec4 e827598 e84336d ef3d47b f7516d1 e827598 e84336d e827598 017db32 |
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 84 85 86 87 88 89 90 |
import argparse, subprocess, sys, time
def setup():
install_cmds = [
['pip', 'install', 'ftfy', 'gradio', 'regex', 'tqdm', 'stability-sdk', 'transformers==4.21.2', 'timm', 'fairscale', 'requests'],
['pip', 'install', '-e', 'git+https://github.com/openai/CLIP.git@main#egg=clip'],
['pip', 'install', '-e',
'git+https://github.com/pharmapsychotic/BLIP.git@lib#egg=blip'],
['git', 'clone', 'https://github.com/pharmapsychotic/clip-interrogator.git']
]
for cmd in install_cmds:
print(subprocess.run(cmd, stdout=subprocess.PIPE).stdout.decode('utf-8'))
setup()
sys.path.append('src/blip')
sys.path.append('src/clip')
sys.path.append('clip-interrogator')
import clip
import torch
import gradio as gr
from clip_interrogator import Interrogator, Config
ci = Interrogator(Config())
import stability_sdk.interfaces.gooseai.generation.generation_pb2 as generation
from stability_sdk import client
import os
stability_api = client.StabilityInference(
key=os.environ['STABILITY_KEY'],
verbose=True
)
import clip
import torch
from PIL import Image
import warnings
import random
from io import BytesIO
def inferAndRebuild(image, mode):
image = image.convert('RGB')
output = ''
if (mode == 'best'):
output = ci.interrogate(image)
elif (mode == 'classic'):
output = ci.interrogate_classic(image)
else:
output = ci.interrogate_fast(image)
answers = stability_api.generate(
prompt=str(output),
seed=34567,
steps=30,
samples=5
)
imglist = []
for resp in answers:
for artifact in resp.artifacts:
if artifact.finish_reason == generation.FILTER:
warnings.warn(
"Your request activated the API's safety filters and could not be processed. Please modify the prompt and try again.")
if artifact.type == generation.ARTIFACT_IMAGE:
img = Image.open(BytesIO(artifact.binary))
imglist.append(img)
return [imglist, output]
inputs = [
gr.inputs.Image(type='pil'),
gr.Radio(['best', 'classic', 'fast'], label='Models', value='fast')
]
outputs = [
gr.Gallery(),
gr.outputs.Textbox(label='Prompt')
]
io = gr.Interface(
inferAndRebuild,
inputs,
outputs,
allow_flagging=False,
)
io.launch(debug=True)
|