OOTDiffusion
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levihsu
Official implementation of OOTDiffusion: Outfitting Fusion based Latent Diffusion for Controllable Virtual Try-on
i try below both failed, anyone point right way python run_ootd.py --model_path "/root/autodl-tmp/OOTDiffusion/run/examples/model/" --cloth_path "/root/autodl-tmp/OOTDiffusion/run/examples/garment/" --scale 2.0 --sample 4 python run_ootd.py --model_path "./examples/model" --cloth_path "./examples/garment" --scale 2.0 --sample 4
Not sure where to put it, but it's a bit of a hassle to download the models correctly. You can use `pip install git+https://github.com/viktorfa/oot_diffusion.git` and use OOTD in any python...
Really impressive results, thanks for sharing. I compared the weights of the unet with SD1.5 and if I am not mistaken the whole net was fine-tuned. What training tricks were...
将"preprocess\humanparsing\modules\functions.py"中的内容替换如下，可以跑起来。 ``` from os import path import torch.distributed as dist import torch.autograd as autograd _src_path = path.join(path.dirname(path.abspath(__file__)), "src") # Activation names ACT_RELU = "relu" ACT_LEAKY_RELU = "leaky_relu" ACT_ELU = "elu"...
Hi I am curious if there are any plans to support commercial use cases?
为什么： https://github.com/levihsu/OOTDiffusion/blob/main/ootd/pipelines_ootd/pipeline_ootd.py#L586 > if ... ... max_length = prompt_embeds.shape[1] uncond_input = self.tokenizer( uncond_tokens, padding="max_length", max_length=max_length, truncation=True, return_tensors="pt", ) if hasattr(self.text_encoder.config, "use_attention_mask") and self.text_encoder.config.use_attention_mask: attention_mask = uncond_input.attention_mask.to(device) else: attention_mask = None...
Hello! I try running gradio example on my local machine and got extremely long error message. ``` (ootd) dolgikh@ConstVivo:~/Downloads/OOTDiffusion/run$ python gradio_ootd.py Traceback (most recent call last): File "/home/dolgikh/anaconda3/envs/ootd/lib/python3.10/site-packages/torch/utils/cpp_extension.py", line 1893,...
