
To use the mode for inference, just load it like a normal stable diffusion pipeline:

```python
from diffusers import StableDiffusionPipeline

model_path = "johnowhitaker/rainbowdiffusion"
pipe = StableDiffusionPipeline.from_pretrained(model_path, torch_dtype=torch.float16)
pipe.to("cuda")

image = pipe(prompt="A cat").images[0]
image
```
{"license": "creativeml-openrail-m", "tags": ["stable-diffusion", "stable-diffusion-diffusers", "text-to-image"], "inference": true}
diffusers stable-diffusion stable-diffusion-diffusers text-to-image license:creativeml-openrail-m endpoints_compatible diffusers:StableDiffusionPipeline region:us
TAGS
#diffusers #stable-diffusion #stable-diffusion-diffusers #text-to-image #license-creativeml-openrail-m #endpoints_compatible #diffusers-StableDiffusionPipeline #region-us 


To use the mode for inference, just load it like a normal stable diffusion pipeline:


TAGS
#diffusers #stable-diffusion #stable-diffusion-diffusers #text-to-image #license-creativeml-openrail-m #endpoints_compatible #diffusers-StableDiffusionPipeline #region-us 

TAGS
#diffusers #stable-diffusion #stable-diffusion-diffusers #text-to-image #license-creativeml-openrail-m #endpoints_compatible #diffusers-StableDiffusionPipeline #region-us 
