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:
- 8891bb96aa3a8f0a221c6199377cca988dbd4e6e576fa09b752a10bb855a429f
- Size of remote file:
- 1.24 MB
- SHA256:
- a598e8744c670d88ace32d3d1f9055c23c05b1027887e556d4c70e492c2ac425
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