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--- |
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license: creativeml-openrail-m |
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base_model: runwayml/stable-diffusion-v1-5 |
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datasets: |
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- lambdalabs/pokemon-blip-captions |
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tags: |
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- stable-diffusion |
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- stable-diffusion-diffusers |
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- text-to-image |
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- diffusers |
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- lora |
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inference: true |
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--- |
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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. |
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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. |
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# LoRA text2image fine-tuning - juliensimon/stable-diffusion-v1-5-pokemon-lora |
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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. |
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