    
# KerasCV Stable Diffusion in Diffusers 🧨🤗

The pipeline contained in this repository was created using [this Space](https://huggingface.co/spaces/sayakpaul/convert-kerascv-sd-diffusers). The purpose is to convert the KerasCV Stable Diffusion weights in a way that is compatible with [Diffusers](https://github.com/huggingface/diffusers). This allows users to fine-tune using KerasCV and use the fine-tuned weights in Diffusers taking advantage of its nifty features (like [schedulers](https://huggingface.co/docs/diffusers/main/en/using-diffusers/schedulers), [fast attention](https://huggingface.co/docs/diffusers/optimization/fp16), etc.).


Following weight paths (KerasCV) were used 
: ['https://huggingface.co/sayakpaul/dreambooth-keras-dogs-unet/resolve/main/lr_1e-6_steps_1000.h5']
{"license": "creativeml-openrail-m", "tags": ["stable-diffusion", "stable-diffusion-diffusers", "text-to-image", "diffusers"], "base_model": "CompVis/stable-diffusion-v1-4", "inference": true}
diffusers stable-diffusion stable-diffusion-diffusers text-to-image base_model:CompVis/stable-diffusion-v1-4 license:creativeml-openrail-m endpoints_compatible diffusers:StableDiffusionPipeline region:us
TAGS
#diffusers #stable-diffusion #stable-diffusion-diffusers #text-to-image #base_model-CompVis/stable-diffusion-v1-4 #license-creativeml-openrail-m #endpoints_compatible #diffusers-StableDiffusionPipeline #region-us 

    
# KerasCV Stable Diffusion in Diffusers 

The pipeline contained in this repository was created using this Space. The purpose is to convert the KerasCV Stable Diffusion weights in a way that is compatible with Diffusers. This allows users to fine-tune using KerasCV and use the fine-tuned weights in Diffusers taking advantage of its nifty features (like schedulers, fast attention, etc.).


Following weight paths (KerasCV) were used 
: ['URL
# KerasCV Stable Diffusion in Diffusers 

The pipeline contained in this repository was created using this Space. The purpose is to convert the KerasCV Stable Diffusion weights in a way that is compatible with Diffusers. This allows users to fine-tune using KerasCV and use the fine-tuned weights in Diffusers taking advantage of its nifty features (like schedulers, fast attention, etc.).


Following weight paths (KerasCV) were used 
: ['URL
TAGS
#diffusers #stable-diffusion #stable-diffusion-diffusers #text-to-image #base_model-CompVis/stable-diffusion-v1-4 #license-creativeml-openrail-m #endpoints_compatible #diffusers-StableDiffusionPipeline #region-us 
 # KerasCV Stable Diffusion in Diffusers 

The pipeline contained in this repository was created using this Space. The purpose is to convert the KerasCV Stable Diffusion weights in a way that is compatible with Diffusers. This allows users to fine-tune using KerasCV and use the fine-tuned weights in Diffusers taking advantage of its nifty features (like schedulers, fast attention, etc.).


Following weight paths (KerasCV) were used 
: ['URL
TAGS
#diffusers #stable-diffusion #stable-diffusion-diffusers #text-to-image #base_model-CompVis/stable-diffusion-v1-4 #license-creativeml-openrail-m #endpoints_compatible #diffusers-StableDiffusionPipeline #region-us 
# KerasCV Stable Diffusion in Diffusers 

The pipeline contained in this repository was created using this Space. The purpose is to convert the KerasCV Stable Diffusion weights in a way that is compatible with Diffusers. This allows users to fine-tune using KerasCV and use the fine-tuned weights in Diffusers taking advantage of its nifty features (like schedulers, fast attention, etc.).


Following weight paths (KerasCV) were used 
: ['URL