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@@ -16,7 +16,7 @@ inference: true
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  should probably proofread and complete it, then remove this comment. -->
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- # LoRA text2image fine-tuning - yashvoladoddi37/yash_kanji_diffusion
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  These are LoRA adaption weights for runwayml/stable-diffusion-v1-5. The weights were fine-tuned on the yashvoladoddi37/kanjienglish dataset. You can find some example images in the following.
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  ![img_0](./image_0.png)
@@ -24,20 +24,18 @@ These are LoRA adaption weights for runwayml/stable-diffusion-v1-5. The weights
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  ![img_2](./image_2.png)
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  ![img_3](./image_3.png)
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-
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- ## Intended uses & limitations
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-
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  #### How to use
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  ```python
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- # TODO: add an example code snippet for running this diffusion pipeline
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- ```
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-
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- #### Limitations and bias
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-
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- [TODO: provide examples of latent issues and potential remediations]
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-
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- ## Training details
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-
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- [TODO: describe the data used to train the model]
 
 
 
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  should probably proofread and complete it, then remove this comment. -->
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+ # LoRA text2image fine-tuning - yashvoladoddi37/kanji-diffusion-v1-5
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  These are LoRA adaption weights for runwayml/stable-diffusion-v1-5. The weights were fine-tuned on the yashvoladoddi37/kanjienglish dataset. You can find some example images in the following.
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  ![img_0](./image_0.png)
 
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  ![img_2](./image_2.png)
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  ![img_3](./image_3.png)
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  #### How to use
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  ```python
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+ from diffusers import StableDiffusionPipeline
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+ import torch
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+
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+ model_path = "yashvoladoddi37/kanji-diffusion-v1-5"
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+ pipe = StableDiffusionPipeline.from_pretrained("runwayml/stable-diffusion-v1-5", torch_dtype=torch.float16, use_safetensors = True).to("cuda")
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+ pipe.unet.load_attn_procs(model_path)
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+ pipe.to("cuda")
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+
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+ prompt = "a Kanji meaning YouTube"
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+ image = pipe(prompt).images[0]
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+ image.save("youtube-kanji-v1-4.png")
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+ ```