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@@ -16,6 +16,8 @@ tags:
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  - diffusers-training
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  - lora
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  inference: true
 
 
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  ---
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  <!-- This model card has been generated automatically according to the information the training script had access to. You
@@ -32,18 +34,21 @@ These are LoRA adaption weights for stable-diffusion-v1-5/stable-diffusion-v1-5.
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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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- #### Limitations and bias
 
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- [TODO: provide examples of latent issues and potential remediations]
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  ## Training details
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- [TODO: describe the data used to train the model]
 
 
 
 
 
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  - diffusers-training
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  - lora
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  inference: true
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+ datasets:
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+ - logo-wizard/modern-logo-dataset
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  ---
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  <!-- This model card has been generated automatically according to the information the training script had access to. You
 
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  #### How to use
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+ from diffusers import DiffusionPipeline
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+
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+ pipe = DiffusionPipeline.from_pretrained("stable-diffusion-v1-5/stable-diffusion-v1-5")
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+ pipe.load_lora_weights("SedatAl/test-test")
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+ prompt = "a logo of electronic online shop, gradient image of a rectangular shopping bag with a cursor inside, white background, red and magenta gradient foreground, minimalism, modern"
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+ image = pipe(prompt).images[0]
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  ## Training details
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+ --train_batch_size=10 \
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+ --max_train_steps=200 \
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+ --learning_rate=1e-04 \
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+
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+ Remaining parameters are default.