Instructions to use valhalla/mad_max_diffusion-sd2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use valhalla/mad_max_diffusion-sd2 with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("valhalla/mad_max_diffusion-sd2", 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
- Draw Things
- DiffusionBee
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README.md
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language:
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- en
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license: openrail++
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thumbnail: "https://huggingface.co/
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tags:
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- stable-diffusion
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- text-to-image
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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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