Update README.md

README.md

@@ -1,3 +1,71 @@
 ---
 license: creativeml-openrail-m
+language:
+- en
+tags:
+- stable-diffusion
+- diffusers
+- text-to-image
 ---
+
+# SemiRealMix
+
+The result of many merges aimed at making semi-realistic human images.
+
+I use the following options to get good generation results:
+
+#### Prompt:
+
+delicate, masterpiece, best shadow, (1 girl:1.3), (korean girl:1.2), (from side:1.2), (from below:0.5), (photorealistic:1.5), extremely detailed skin, studio, beige background, warm soft light, low contrast, head tilt
+
+#### Negative prompt:
+
+(worst quality, low quality:1.4), nsfw, nude, (loli, child, infant, baby:1.5), jewely, (hard light:1.5), back light, spot light, hight contrast, (eyelid:1.3), outdoor, monochrome
+
+
+Sampler: DPM++ SDE Karras
+
+CFG Scale: 7
+
+Steps: 20
+
+Size: 512x768
+
+Denoising strength: 0.5, Hires upscale: 2, Hires upscaler: R-ESRGAN 4x+ Anime6B, Eta: 0.2
+
+Clip skip: 2
+
+Base Model : SD 1.5
+
+VAE: vae-ft-mse-840000-ema-pruned
+
+Use xformers : True
+
+## 🧨 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 = "andite/anything-v4.0"
+pipe = StableDiffusionPipeline.from_pretrained(model_id, torch_dtype=torch.float16)
+pipe = pipe.to("cuda")
+
+prompt = "1girl"
+image = pipe(prompt).images[0]
+
+image.save("./output.png")
+```
+
+## Examples:
+
+Here are some examples of images generated using this model:
+
+
+
+