Typo in load_pipeline_from_original_stable_diffusion_ckpt() method

[p1atdev]

Describe the bug

Currently it works fine, but I think inferenc.yaml should be inference.yaml.

diffusers/src/diffusers/pipelines/stable_diffusion/convert_from_ckpt.py

Lines 870 to 894 in 1e7f965

	with tempfile.TemporaryDirectory() as tmpdir:
	if original_config_file is None:
	key_name = "model.diffusion_model.input_blocks.2.1.transformer_blocks.0.attn2.to_k.weight"
	original_config_file = os.path.join(tmpdir, "inferenc.yaml")
	if key_name in checkpoint and checkpoint[key_name].shape[-1] == 1024:
	if not os.path.isfile("v2-inference-v.yaml"):
	# model_type = "v2"
	r = requests.get(
	" https://raw.githubusercontent.com/Stability-AI/stablediffusion/main/configs/stable-diffusion/v2-inference-v.yaml"
	)
	open(original_config_file, "wb").write(r.content)
	if global_step == 110000:
	# v2.1 needs to upcast attention
	upcast_attention = True
	else:
	if not os.path.isfile("v1-inference.yaml"):
	# model_type = "v1"
	r = requests.get(
	" https://raw.githubusercontent.com/CompVis/stable-diffusion/main/configs/stable-diffusion/v1-inference.yaml"
	)
	open(original_config_file, "wb").write(r.content)
	original_config = OmegaConf.load(original_config_file)

Reproduction

No response

Logs

No response

System Info

• diffusers version: 0.13.0.dev0
• Platform: Windows-10-10.0.22621-SP0
• Python version: 3.9.15
• PyTorch version (GPU?): 1.12.1+cu116 (True)
• Huggingface_hub version: 0.11.1
• Transformers version: 4.26.0
• Accelerate version: 0.16.0
• xFormers version: not installed
• Using GPU in script?: RTX 3070 Ti
• Using distributed or parallel set-up in script?:

[patrickvonplaten]

Thanks for opening a PR!