Update README.md


README.md

@@ -3,25 +3,28 @@ license: creativeml-openrail-m
 tags:
 - stable-diffusion
 - text-to-image
-pipeline_tag: unconditional-image-generation
 ---
-code example:
+# arcaneface Diffusion
+This is the fine-tuned Stable Diffusion model trained by dreambooth with 30k steps, images  dataset from Arcane4K.
+Use the tokens **_arcaneface_** in your prompts for the effect.
+### 🧨 Diffusers
 
+This model can be used just like any other Stable Diffusion model. For more information,
+please have a look at the [Stable Diffusion](https://huggingface.co/docs/diffusers/api/pipelines/stable_diffusion).
+
+You can also export the model to [ONNX](https://huggingface.co/docs/diffusers/optimization/onnx), [MPS](https://huggingface.co/docs/diffusers/optimization/mps) and/or [FLAX/JAX]().
+
+```python
 from diffusers import StableDiffusionPipeline
 import torch
-
 model_id = "michaelz/arcaneface-diffusion"
-
 pipe = StableDiffusionPipeline.from_pretrained(model_id, torch_dtype=torch.float16)
-
 pipe = pipe.to("cuda")
-
 prompt = "arcaneface, a beautiful girl"
-
 image = pipe(prompt).images[0]
-
 image.save("example.png")
+```
 
-
----
-picture example:
+### Sample images from the model:
+![0.png](https://s3.amazonaws.com/moonup/production/uploads/1676713185001-63575826a482286f0dcb8bee.png)
+![3.png](https://s3.amazonaws.com/moonup/production/uploads/1676713185157-63575826a482286f0dcb8bee.png)