---
library_name: diffusers
base_model: runwayml/stable-diffusion-v1-5
tags:
- stable-diffusion
- stable-diffusion-diffusers
- text-to-image
- diffusers
- lora
license: creativeml-openrail-m
datasets:
- epts/kanji-full
pipeline_tag: text-to-image
inference: false
---

# Model Card

This is the LoRA weight used in the [Kanji-Streaming](https://github.com/AgainstEntropy/kanji) project.

Please check out the [GitHub repo](https://github.com/AgainstEntropy/kanji) for more details.



![image/png](https://cdn-uploads.huggingface.co/production/uploads/63db7b7c9fb38bae84aa1706/Qjj0cd5Q8WfC65Gqcp2x4.png)


## Uses

<!-- Address questions around how the model is intended to be used, including the foreseeable users of the model and those affected by the model. -->

### Direct Use

<!-- This section is for the model use without fine-tuning or plugging into a larger ecosystem/app. -->

[More Information Needed]


## Training Details

### Training Data

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[More Information Needed]

### Training Procedure 

<!-- This relates heavily to the Technical Specifications. Content here should link to that section when it is relevant to the training procedure. -->

#### Preprocessing [optional]

[More Information Needed]


#### Training Hyperparameters

- **Training regime:** [More Information Needed] <!--fp32, fp16 mixed precision, bf16 mixed precision, bf16 non-mixed precision, fp16 non-mixed precision, fp8 mixed precision -->

#### Speeds, Sizes, Times [optional]

<!-- This section provides information about throughput, start/end time, checkpoint size if relevant, etc. -->

[More Information Needed]