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[Conversion] Small fixes #3848

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Merged
merged 3 commits into from
Jun 22, 2023
Merged

[Conversion] Small fixes #3848

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457e9ad
[Conversion] Small fixes
patrickvonplaten Jun 22, 2023
e9b7f56
Update src/diffusers/pipelines/stable_diffusion/convert_from_ckpt.py
patrickvonplaten Jun 22, 2023
65510a7
Merge branch 'main' into small_fixes
patrickvonplaten Jun 22, 2023
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12 changes: 10 additions & 2 deletions scripts/convert_vae_pt_to_diffusers.py
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Original file line number Diff line number Diff line change
Expand Up @@ -129,11 +129,19 @@ def vae_pt_to_vae_diffuser(
original_config = OmegaConf.load(io_obj)
image_size = 512
device = "cuda" if torch.cuda.is_available() else "cpu"
checkpoint = torch.load(checkpoint_path, map_location=device)
if checkpoint_path.endswith("safetensors"):
from safetensors import safe_open

checkpoint = {}
with safe_open(checkpoint_path, framework="pt", device="cpu") as f:
for key in f.keys():
checkpoint[key] = f.get_tensor(key)
else:
checkpoint = torch.load(checkpoint_path, map_location=device)["state_dict"]

# Convert the VAE model.
vae_config = create_vae_diffusers_config(original_config, image_size=image_size)
converted_vae_checkpoint = custom_convert_ldm_vae_checkpoint(checkpoint["state_dict"], vae_config)
converted_vae_checkpoint = custom_convert_ldm_vae_checkpoint(checkpoint, vae_config)

vae = AutoencoderKL(**vae_config)
vae.load_state_dict(converted_vae_checkpoint)
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5 changes: 3 additions & 2 deletions src/diffusers/pipelines/stable_diffusion/convert_from_ckpt.py
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Expand Up @@ -286,10 +286,11 @@ def create_unet_diffusers_config(original_config, image_size: int, controlnet=Fa
"use_linear_projection": use_linear_projection,
"class_embed_type": class_embed_type,
"projection_class_embeddings_input_dim": projection_class_embeddings_input_dim,
"conditioning_channels": unet_params.hint_channels,
}

if not controlnet:
if controlnet:
config["conditioning_channels"] = unet_params.hint_channels
else:
config["out_channels"] = unet_params.out_channels
config["up_block_types"] = tuple(up_block_types)

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