Instructions to use smelon/anything with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use smelon/anything with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("smelon/anything", torch_dtype=torch.bfloat16, device_map="cuda") prompt = "Astronaut in a jungle, cold color palette, muted colors, detailed, 8k" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
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README.md
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该模型可以像任何其他稳定扩散模型一样使用。想要查询更多的信息,
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请看 [Stable Diffusion](https://huggingface.co/docs/diffusers/api/pipelines/stable_diffusion).
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您还可以将模型导出到 [ONNX](https://huggingface.co/docs/diffusers/optimization/onnx)
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```python
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from diffusers import StableDiffusionPipeline
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该模型可以像任何其他稳定扩散模型一样使用。想要查询更多的信息,
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请看 [Stable Diffusion](https://huggingface.co/docs/diffusers/api/pipelines/stable_diffusion).
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您还可以将模型导出到 [ONNX](https://huggingface.co/docs/diffusers/optimization/onnx) [MPS](https://huggingface.co/docs/diffusers/optimization/mps) 或者 [FLAX/JAX]().
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```python
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from diffusers import StableDiffusionPipeline
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