Instructions to use MirageML/dreambooth-nike with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use MirageML/dreambooth-nike with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("MirageML/dreambooth-nike", 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
Commit History
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Adding `safetensors` variant of this model (#5)
Verified signature- Adding `safetensors` variant of this model (91f810703fcb01732746dab3a5cf06fd0117fe42) Co-authored-by: Safetensors convertbot <SFconvertbot@users.noreply.huggingface.co>0114a86
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Add `scale_factor` to vae config. (#3)
- Add `scale_factor` to vae config. (61b1d40156898b66f64b41dd68c3f6216b5ee2d1) Co-authored-by: Suraj Patil <valhalla@users.noreply.huggingface.co>15dda54
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Dreambooth Nike Model
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