Instructions to use raphael-gl/broken_adapter with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use raphael-gl/broken_adapter with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("raphael-gl/sdxl-base", dtype=torch.bfloat16, device_map="cuda") pipe.load_lora_weights("raphael-gl/broken_adapter") prompt = "a photo of sks dog" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps
- Draw Things
- DiffusionBee
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license: openrail++
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base_model:
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instance_prompt: a photo of sks dog
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tags:
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- stable-diffusion-xl
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---
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license: openrail++
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base_model: raphael-gl/sdxl-base
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instance_prompt: a photo of sks dog
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tags:
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- stable-diffusion-xl
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