Text-to-Image
Diffusers
diffusers-training
lora
template:sd-lora
stable-diffusion-xl
stable-diffusion-xl-diffusers
Instructions to use cryptexis/lora-trained-xl with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use cryptexis/lora-trained-xl with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("SG161222/RealVisXL_V5.0", torch_dtype=torch.bfloat16, device_map="cuda") pipe.load_lora_weights("cryptexis/lora-trained-xl") prompt = "A photo of sks man in a standing in the studio posing as a photo model in a suit. Light background." image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee

- Xet hash:
- c2c3e065fb4660d19c7718c545f06c951a84e403f1802f0bfb85b1ff81dea469
- Size of remote file:
- 1.26 MB
- SHA256:
- c3e2d3d8e4fcb6809af06b43ece79e16df7ca1fc5d83e860244f58945bf58967
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