Instructions to use codemanCheng/lora-trained-xl_350 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use codemanCheng/lora-trained-xl_350 with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("fill-in-base-model", dtype=torch.bfloat16, device_map="cuda") pipe.load_lora_weights("codemanCheng/lora-trained-xl_350") prompt = "a photo of sks cat" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps
- Draw Things
- DiffusionBee

- Xet hash:
- 353136439bdac43b7a9c601ece539c2ac308f9e8c037cc745f52917c784f25de
- Size of remote file:
- 1.33 MB
- SHA256:
- 8388e63f77b775a2938c174ef84afa9ce6dd18ff5db0ccbf6b7932e5c200ada2
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