diffusers
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🤗 Diffusers: State-of-the-art diffusion models for image, video, and audio generation in PyTorch.
Since stable diffusion 1.5 was out, I was hoping to use it with the imagic colab. Could you upgrade diffusers to use the new model instead of the old one?
### Describe the bug Hi, I am following stable diffusion training with the dreambooth example at local machine. Although the following link gives every details about training sd, however I...
- Add the missing `scale_model_input` method to `FlaxLMSDiscreteScheduler` - Use `jnp.append` for appending to `state.derivatives` - Use `jnp.delete` to pop from `state.derivatives`
### Describe the bug clip guided generates a very poor result,     this is my code: `logger = logging.get_logger(__name__) # pylint: disable=invalid-name class CLIPGuidedStableDiffusionPipeline(DiffusionPipeline): r""" Pipeline for...
### Describe the bug When disabling safety checker, diffusers spits out a wall of text, every time. This is an annoyance. We get it, you don't want people making boobies...
Just a quick question regarding tokens: I have a model trained on a new token and wish to add more detail and add extra run cycles to it. I get...
### Describe the bug When I try to do the inpainting with RePaintPipeline on the MPS backend it only returns black image. It works fine with CPU, but very slow....
### Describe the bug Dreambooth example uses multiprocess DataLoader (`num_workers=1`) and it causes error when pickling `collate_fn` because it is not top-level function. #### Workaround Training works if I disable...
Hi there ! I am currently training a DDPM model on a custom image dataset following the cool [unconditional_image_generation](https://github.com/huggingface/diffusers/blob/main/examples/unconditional_image_generation/train_unconditional.py) example script. Since I don't have the compute to perform comprehensive...