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PQlet/
lora-narutoblip-debug-ablation-r256-a16

Name: lora-narutoblip-debug-ablation-r256-a16
Availability: InStock

diffusers

stable-diffusion

stable-diffusion-diffusers

text-to-image

diffusers-training

lora

runwayml/stable-diffusion-v1-5

adapter

creativeml-openrail-m

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# LoRA text2image fine-tuning - PQlet/lora-narutoblip-debug-ablation-r256-a16
These are LoRA adaption weights for runwayml/stable-diffusion-v1-5. The weights were fine-tuned on the Naruto-BLIP dataset. You can find some example images in the following. 

![img_0](./image_a man with glasses and a shirt on.png)

![img_1](./image_a group of people sitting on the ground.png) ![img_2](./image_a man in a green hoodie standing in front of a mountain.png) ![img_3](./image_a man with a gun in his hand.png) ![img_4](./image_a woman with red hair and a cat on her head.png) ![img_5](./image_two pokemons sitting on top of a cloud.png) ![img_6](./image_a man standing in front of a bridge.png)

Intended uses & limitations

How to use

# TODO: add an example code snippet for running this diffusion pipeline

Limitations and bias

[TODO: provide examples of latent issues and potential remediations]

Training details

[TODO: describe the data used to train the model]