Q1

pipe = StableDiffusionControlNetImg2ImgPipeline.from_pretrained(
	# "runwayml/stable-diffusion-v1-5", 
	"/data/model/basemodel/realistic_v10BAKEDVAE.safetensors",
 	controlnet=controlnet, torch_dtype=torch.float16,
	local_files_only = True
)

>>
huggingface_hub.utils._validators.HFValidationError: Repo id must be in the form 'repo_name' or
'namespace/repo_name': '/data/model/basemodel/realistic_v10BAKEDVAE.safetensors'. Use `repo_type`
argument if needed.

Civitai上的模型多是webui训练来的，不能直接用到diffusers框架上，需要转。

conda create -n diffusers python=3.10
conda activate diffusers
pip install --upgrade diffusers[torch]
pip install transformers
pip install omegaconf
pip install safetensors
git clone https://github.com/huggingface/diffusers

python ./diffusers/scripts/convert_original_stable_diffusion_to_diffusers.py \
 --checkpoint_path ./model/realistic_v10BAKEDVAE.safetensors \ 
 --dump_path ./diffusers_model --from_safetensors

pipe = StableDiffusionControlNetImg2ImgPipeline.from_pretrained(
	"./model/diffusers_model",
 	controlnet=controlnet, torch_dtype=torch.float16,
	local_files_only = True
)