Upload Fictiverse/Stable_Diffusion_Microscopic_model/README.md with huggingface_hub

Fictiverse/Stable_Diffusion_Microscopic_model/README.md

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+---
+license: openrail
+tags:
+  - text-to-image
+---
+# Microscopic model V1
+This is the fine-tuned Stable Diffusion model trained on microscopic images.
+
+Use **Microscopic** in your prompts.
+
+### Sample images:
+![sample image](https://s3.amazonaws.com/moonup/production/uploads/1667894926121-635749860725c2f190a76e88.jpeg)
+![sample image](https://s3.amazonaws.com/moonup/production/uploads/1667934752243-635749860725c2f190a76e88.png)
+
+Image enhancing : Before/After
+![sample gif](https://s3.amazonaws.com/moonup/production/uploads/1667935562197-635749860725c2f190a76e88.gif)
+Based on StableDiffusion 1.5 model
+
+### 🧨 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 = "Fictiverse/Stable_Diffusion_Microscopic_model"
+pipe = StableDiffusionPipeline.from_pretrained(model_id, torch_dtype=torch.float16)
+pipe = pipe.to("cuda")
+
+prompt = "microscopic creature"
+image = pipe(prompt).images[0]
+
+image.save("./microscopic.png")
+```