Skip to content

change: Visually displays the output image provided. #90

New issue

Have a question about this project? Sign up for a free GitHub account to open an issue and contact its maintainers and the community.

Sign up for GitHub

By clicking “Sign up for GitHub”, you agree to our terms of service and privacy statement. We’ll occasionally send you account related emails.

Already on GitHub? Sign in to your account

Open
mustafawiped wants to merge 1 commit into
base: main
Choose a base branch
from
Open

change: Visually displays the output image provided. #90

Changes from all commits
Commits
Show all changes
1 commit
Select commit
File filter

Filter by extension

Filter by extension
Conversations
Failed to load comments.
Loading
Jump to
Jump to file
Failed to load files.
Loading
Diff view
Diff view
27 changes: 15 additions & 12 deletions tests/inference/test_inference.py
View file
Open in desktop
Original file line number Diff line number Diff line change
Expand Up @@ -4,16 +4,14 @@
from pytest import fixture
import torch
from typing import Tuple
import matplotlib.pyplot as plt

from sgm.inference.api import (
model_specs,
SamplingParams,
SamplingPipeline,
Sampler,
ModelArchitecture,
)
import sgm.inference.helpers as helpers
# "sgm.inference.api" ve "sgm.inference.helpers" modüllerinden çeşitli bileşenleri içe aktarma

def show_output_image(output_image):
plt.imshow(output_image)
plt.axis('off')
plt.show()

@pytest.mark.inference
class TestInference:
Expand Down Expand Up @@ -53,20 +51,25 @@ def test_txt2img(self, pipeline: SamplingPipeline, sampler_enum):
negative_prompt="",
samples=1,
)

assert output is not None

@pytest.mark.parametrize("sampler_enum", Sampler)
def test_img2img(self, pipeline: SamplingPipeline, sampler_enum):
@pytest.mark.parametrize("num_samples", [1, 3, 5]) # New parameter: Different expansion capabilities
@pytest.mark.parametrize("num_steps", [5, 10, 15]) # New parameter: Different conversion steps
def test_img2img(self, pipeline: SamplingPipeline, sampler_enum, num_samples, num_steps):
output = pipeline.image_to_image(
params=SamplingParams(sampler=sampler_enum.value, steps=10),
params=SamplingParams(sampler=sampler_enum.value, steps=num_steps),
image=self.create_init_image(pipeline.specs.height, pipeline.specs.width),
prompt="A professional photograph of an astronaut riding a pig",
negative_prompt="",
samples=1,
samples=num_samples,
)
assert output is not None

# Let's show the output visually
for i in range(num_samples):
show_output_image(output[i])

@pytest.mark.parametrize("sampler_enum", Sampler)
@pytest.mark.parametrize(
"use_init_image", [True, False], ids=["img2img", "txt2img"]
Expand Down