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:
- 5ad2d5da0c0ea60be4f476270de10419e4c6fc58dc75ff61296cde307e2a10fa
- Size of remote file:
- 186 MB
- SHA256:
- b2c46492e321b9466e2b8e5dfbdd872bb21f93bfd6f2c1fe475fc20ba050d1f2
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.