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你好 使用下面方式读取权重时报错
adapter = T2IAdapter.from_config("../diffusers-t2i-adapter/models/config.json")
adapter.load_state_dict(torch.load("../diffusers-t2i-adapter/models/t2iadapter_style_sd14v1.pth"))
…
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any idea about support LCM LoRA? This will greatly increase the speed.
![image](https://github.com/comfyanonymous/ComfyUI/assets/85244566/228a2b14-2c95-4f1e-aca1-cb4abf4695b9)
diffusers allready sup…
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Hello! I tried a quick test following instructions but the training fails to start:
D:\trainsimple>call venv\scripts\activate
D:\trainsimple\train_dreambooth_lora_sdxl.py:444: UserWarning: You need …
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在Inpait中使用lora报错
pipe = StableDiffusionInpaintPipeline.from_pretrained("runwayml/stable-diffusion-v1-5", safety_checker=None)
pipe.load_lora_weights("./",weight_name="lora.safetensors",from_diffuser…
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### 🐛 Describe the bug
```python
import torch
from diffusers import (
StableDiffusionXLPipeline,
AutoencoderKL
)
# Load VAE component
vae = AutoencoderKL.from_pretrained(
"ma…
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If anyone is interested, this what I had to do to get it to work in Google Colab. I needed high-RAM GPUs.
There might be some extra things in here too. I followed along this guy's PC-oriented tutor…
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Error? Help
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```
56
57 # encode the init image into latents and scale the latents
---> 58 init_latents = self.vae.encode(init_image.to(self.device)).sample()
59 init_lat…
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None of the diffusers training scripts support multiple crops or aspect ratios in the data loader. This is mentioned in the tech report for SDXL as a part of their training process.
In my tests dif…
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Hey fellows, really good work and thanks for sharing the code. However, I've got a question about the sampling process. It seems like no randomness is added during the sampling process, like the z in …