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[Don't merge] PR to show that diffusers and SGM gives 1-to-1 the same result #23

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patrickvonplaten wants to merge 2 commits into from
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[Don't merge] PR to show that diffusers and SGM gives 1-to-1 the same result #23

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2ac3f92
add gitignore
patrickvonplaten Jul 2, 2023
dea0f4c
finish test setup
patrickvonplaten Jul 3, 2023
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3 changes: 2 additions & 1 deletion .gitignore
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Original file line number Diff line number Diff line change
Expand Up @@ -4,4 +4,5 @@
*.egg-info
build
/outputs
/checkpoints
/checkpoints
__pycache__
6 changes: 4 additions & 2 deletions scripts/demo/sampling.py
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Expand Up @@ -126,9 +126,10 @@ def run_txt2img(
use_identity_guider=not version_dict["is_guided"]
)

num_samples = num_rows * num_cols
# num_samples = num_rows * num_cols
num_samples = 1

if st.button("Sample"):
if True:
st.write(f"**Model I:** {version}")
out = do_sample(
state["model"],
Expand Down Expand Up @@ -307,6 +308,7 @@ def apply_refiner(
)
else:
raise ValueError(f"unknown mode {mode}")

if isinstance(out, (tuple, list)):
samples, samples_z = out
else:
Expand Down
5 changes: 4 additions & 1 deletion scripts/demo/streamlit_helpers.py
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Original file line number Diff line number Diff line change
Expand Up @@ -13,6 +13,7 @@
from torchvision import transforms
from torchvision.utils import make_grid
from safetensors.torch import load_file as load_safetensors
from pytorch_lightning import seed_everything

from sgm.modules.diffusionmodules.sampling import (
EulerEDMSampler,
Expand Down Expand Up @@ -206,6 +207,7 @@ def init_save_locally(_dir, init_value: bool = False):
else:
save_path = None

return True, "/home/patrick/images/sgm_test"
return save_locally, save_path


Expand Down Expand Up @@ -513,7 +515,8 @@ def do_sample(
additional_model_inputs[k] = batch[k]

shape = (math.prod(num_samples), C, H // F, W // F)
randn = torch.randn(shape).to("cuda")
seed_everything(0)
randn = torch.randn(shape, device="cuda")

def denoiser(input, sigma, c):
return model.denoiser(
Expand Down