Instructions to use cookey39/reflector with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use cookey39/reflector with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("cookey39/reflector", 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
Update README.md
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README.md
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# SDXL LoRA DreamBooth - cookey39/reflector
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Pivotal tuning was enabled: True.
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Special VAE used for training: None.
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---
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datasets:
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- cookey39/blue_reflection
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language:
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- en
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---
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# SDXL LoRA DreamBooth - cookey39/reflector
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Pivotal tuning was enabled: True.
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Special VAE used for training: None.
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