Instructions to use cutycat2000x/LoRA2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use cutycat2000x/LoRA2 with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("cutycat2000x/InterDiffusion-4.0", dtype=torch.bfloat16, device_map="cuda") pipe.load_lora_weights("cutycat2000x/LoRA2") prompt = "a smiling girl with sparkles in her eyes, walking in a garden, in the morning --style anime" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps
- Draw Things
- DiffusionBee
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README.md
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Odette the butterfly goddess wearing a green skirt wondering in the cosmos
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output:
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url: example9.png
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base_model: cutycat2000x/InterDiffusion-4.0
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instance_prompt: null
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license: mit
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Odette the butterfly goddess wearing a green skirt wondering in the cosmos
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output:
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url: example9.png
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- text: >-
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Happy cat holding a sign that reads "Never gonna give you up"
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output:
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url: example10.png
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base_model: cutycat2000x/InterDiffusion-4.0
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instance_prompt: null
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license: mit
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