--- license: creativeml-openrail-m base_model: runwayml/stable-diffusion-v1-5 datasets: - lambdalabs/pokemon-blip-captions tags: - stable-diffusion - stable-diffusion-diffusers - text-to-image - diffusers - lora inference: true --- This model was fine-tuned using 4-bit QLoRa, following the instructions in https://huggingface.co/blog/lora. The training script and training log are included. I used a Amazon EC2 g4dn.xlarge instance (1xT4 GPU), with the Deep Learning AMI for PyTorch. Training time was about 6 hours. On-demand price is about $3, which can easily be reduced to about $1 with EC2 Spot Instances. # LoRA text2image fine-tuning - juliensimon/stable-diffusion-v1-5-pokemon-lora These are LoRA adaption weights for runwayml/stable-diffusion-v1-5. The weights were fine-tuned on the lambdalabs/pokemon-blip-captions dataset. You can find some example images in the following. ![img_0](./image_0.png) ![img_1](./image_1.png) ![img_2](./image_2.png) ![img_3](./image_3.png)