Skip to content
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

feat: support loading init img from url #2

Closed
wants to merge 1 commit into from
Closed

feat: support loading init img from url #2

Show file tree
Hide file tree
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
4 changes: 2 additions & 2 deletions imaginairy/api.py
View file
Open in desktop
Original file line number Diff line number Diff line change
Expand Up @@ -23,7 +23,7 @@
from imaginairy.utils import (
fix_torch_nn_layer_norm,
get_device,
img_path_to_torch_image,
img_path_or_url_to_torch_image,
instantiate_from_config,
)

Expand Down Expand Up @@ -204,7 +204,7 @@ def imagine(
ddim_steps = int(prompt.steps / generation_strength)
sampler.make_schedule(ddim_num_steps=ddim_steps, ddim_eta=ddim_eta)

init_image, w, h = img_path_to_torch_image(prompt.init_image)
init_image, w, h = img_path_or_url_to_torch_image(prompt.init_image)
init_image = init_image.to(get_device())
init_latent = model.get_first_stage_encoding(
model.encode_first_stage(init_image)
Expand Down
12 changes: 8 additions & 4 deletions imaginairy/utils.py
View file
Open in desktop
Original file line number Diff line number Diff line change
Expand Up @@ -2,6 +2,7 @@
import logging
import os.path
import platform
import urllib.parse
from contextlib import contextmanager
from functools import lru_cache
from typing import List, Optional
Expand Down Expand Up @@ -99,10 +100,13 @@ def fix_torch_nn_layer_norm():
finally:
functional.layer_norm = orig_function


def img_path_to_torch_image(path, max_height=512, max_width=512):
image = Image.open(path).convert("RGB")
logger.info(f"Loaded input 🖼 of size {image.size} from {path}")
def img_path_or_url_to_torch_image(path_or_url, max_height=512, max_width=512):
is_url = urllib.parse.urlparse(path_or_url).scheme in ('http', 'https',)
if (is_url):
image = Image.open(requests.get(path_or_url, stream=True).raw).convert("RGB")
else:
image = Image.open(path_or_url).convert("RGB")
logger.info(f"Loaded input 🖼 of size {image.size} from {path_or_url}")
return pillow_img_to_torch_image(image, max_height=max_height, max_width=max_width)


Expand Down