Instructions to use maximalmargin/katz with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use maximalmargin/katz with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("maximalmargin/katz", 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
Librarian Bot: Update dataset YAML metadata for model
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README.md
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license: cc-by-sa-4.0
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Stable Diffusion 2 fine-tuned on [maximalmargin/katz](https://huggingface.co/datasets/maximalmargin/katz) dataset for 100 steps.
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license: cc-by-sa-4.0
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datasets: maximalmargin/katz
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Stable Diffusion 2 fine-tuned on [maximalmargin/katz](https://huggingface.co/datasets/maximalmargin/katz) dataset for 100 steps.
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