Instructions to use radames/sdxl-turbo-DPO-LoRA with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use radames/sdxl-turbo-DPO-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("radames/sdxl-turbo-DPO-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 Settings
- Draw Things
- DiffusionBee
- Xet hash:
- cc5d769427217c5a404defde8aa014e0c6901e03d6d6ef0a9e23bd6feeeb5445
- Size of remote file:
- 46.7 MB
- SHA256:
- 666f71a833fc41229ec7e8a264fb7b0fcb8bf47a80e366ae7486c18f38ec9fc0
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