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We recommend you use Stable Diffusion with Hugging Face Diffusers library. You can also use the original CompVis code.

1. CompVis Stable Diffusion

CompVis Stable Diffusion
https://github.com/compvis/stable-diffusion

Stable Diffusion is a latent text-to-image diffusion model capable of generating photo-realistic images given any text input.

• CompVis/stable-diffusion-v-1-1-original

https://huggingface.co/CompVis/stable-diffusion-v-1-1-original

• CompVis/stable-diffusion-v-1-2-original

https://huggingface.co/CompVis/stable-diffusion-v-1-2-original

• CompVis/stable-diffusion-v-1-3-original

https://huggingface.co/CompVis/stable-diffusion-v-1-3-original

• CompVis/stable-diffusion-v-1-4-original

https://huggingface.co/CompVis/stable-diffusion-v-1-4-original

2. Hugging Face Diffusers

Hugging Face Diffusers
https://github.com/huggingface/diffusers

Stable Diffusion is a latent text-to-image diffusion model capable of generating photo-realistic images given any text input.

• CompVis/stable-diffusion-v1-1

https://huggingface.co/CompVis/stable-diffusion-v1-1

• CompVis/stable-diffusion-v1-2

https://huggingface.co/CompVis/stable-diffusion-v1-2

• CompVis/stable-diffusion-v1-3

https://huggingface.co/CompVis/stable-diffusion-v1-3

• CompVis/stable-diffusion-v1-4

https://huggingface.co/CompVis/stable-diffusion-v1-4

3. Contrastive Language-Image Pre-Training (CLIP)

• openai/clip-vit-large-patch14

https://huggingface.co/openai/clip-vit-large-patch14

• CLIP

https://github.com/openai/CLIP

CLIP (Contrastive Language-Image Pre-Training) is a neural network trained on a variety of (image, text) pairs.

References

[1] Yongqiang Cheng, https://yongqiang.blog.csdn.net/