Update README.md

README.md

@@ -1,3 +1,75 @@
 ---
-license: mit
+license: cc-by-2.0
+library_name: diffusers
+tags:
+- art
+- code
+- stable-diffusion-xl
+- stable-diffusion-xl-diffusers
 ---
+# SDXL LoRA DreamBooth - comic_style_LoRA
+
+<Gallery />
+
+| Image 1 | Image 2 |
+|---|---|
+| ![example 1](./1.png) | ![example 2](./2.png) |
+| Image 3 | Image 4 |
+|---|---|
+| ![example 3](./3.png) | ![sample 4](./4.png) |
+
+
+## Model description
+
+These are comic_style LoRA adaption weights for `stabilityai/stable-diffusion-xl-base-1.0`.
+
+The weights were trained  using [DreamBooth](https://dreambooth.github.io/).
+
+LoRA for the text encoder was enabled.
+
+Special VAE used for training: `madebyollin/sdxl-vae-fp16-fix`.
+
+DataSet: custom hand-drawn sketches by [ritwikraha](https://www.ritwikraha.com/)
+
+## Trigger words
+
+You should use a photo in the style of TOK comics to trigger the image generation.
+
+## Usage
+
+```
+!pip install diffusers accelerate -q
+import torch
+from PIL import Image
+from diffusers import DiffusionPipeline, AutoencoderKL
+
+vae = AutoencoderKL.from_pretrained("madebyollin/sdxl-vae-fp16-fix", torch_dtype=torch.float16)
+pipe = DiffusionPipeline.from_pretrained(
+    "stabilityai/stable-diffusion-xl-base-1.0",
+    vae=vae,
+    torch_dtype=torch.float16,
+    variant="fp16",
+    use_safetensors=True
+)
+pipe.load_lora_weights('ritwikraha/comics_style_LoRA')
+_ = pipe.to("cuda")
+
+prompt = "a photo of 18th century London in the style of TOK comics, 8k"
+negative_prompt ="ugly face, multiple bodies, bad anatomy, disfigured, extra fingers"
+image = pipe(prompt=prompt,
+             negative_prompt=negative_prompt,
+             guidance_scale=3,
+             num_inference_steps=50).images[0]
+image
+```
+
+## Download model
+
+Weights for this model are available in Safetensors format.
+
+[Download](ritwikraha/comics_style_LoRA/tree/main) them in the Files & versions tab.
+
+
+
+
+---