| | --- |
| | 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: |
| |  |
| |  |
| |
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| | Image enhancing : Before/After |
| |  |
| | 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") |
| | ``` |