End of training

README.md

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+---
+license: creativeml-openrail-m
+library_name: diffusers
+tags:
+- stable-diffusion
+- stable-diffusion-diffusers
+- text-to-image
+- diffusers
+- diffusers-training
+- lora
+base_model: runwayml/stable-diffusion-v1-5
+inference: true
+---
+
+<!-- This model card has been generated automatically according to the information the training script had access to. You
+should probably proofread and complete it, then remove this comment. -->
+
+
+    # LoRA text2image fine-tuning - PQlet/lora-narutoblip-debug-r128-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
+
+```python
+# 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]

pytorch_lora_weights.safetensors

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