Instructions to use adoomy/diff_lora with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use adoomy/diff_lora with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("adoomy/diff_lora", 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
safetensors - camenduru/converter
Browse files
safety_checker/model.safetensors
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text_encoder/model.safetensors
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unet/diffusion_pytorch_model.safetensors
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vae/diffusion_pytorch_model.safetensors
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size 334643245
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