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--- |
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language: |
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- en |
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license: openrail++ |
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thumbnail: "https://huggingface.co/valhalla/mad_max_diffusion-sd2/resolve/main/mad-max-fr.png" |
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tags: |
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- stable-diffusion |
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- text-to-image |
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- image-to-image |
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- diffusers |
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--- |
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### Mad Max: Fury Road Diffusion (SD 2.0, 768x768) |
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This is the fine-tuned Stable Diffusion model trained on images from Mad Max: Fury Road. |
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Use the tokens **_mad_max_fr_** in your prompts for the effect. |
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**Images rendered with the model:** |
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Turn your favorite cars, city's, characters in fury road style. |
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### 🧨 Diffusers |
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This model can be used just like any other Stable Diffusion model. For more information, |
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please have a look at the [Stable Diffusion](https://huggingface.co/docs/diffusers/api/pipelines/stable_diffusion). |
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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](). |
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```python |
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from diffusers import StableDiffusionPipeline, DPMSolverMultistepScheduler |
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import torch |
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model_id = "valhalla/mad_max_diffusion-sd2" |
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pipe = StableDiffusionPipeline.from_pretrained(model_id, torch_dtype=torch.float16).to("cuda") |
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pipe.enable_attention_slicing() |
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pipe.scheduler = DPMSolverMultistepScheduler.from_config(pipe.scheduler.config) |
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prompt = "The streets of Paris with eiffel tower in the background in the style of mad_max_fr" |
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image = pipe(prompt, num_inference_steps=30).images[0] |
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image.save("./paris-mad-max-fr.png") |
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``` |
