Text-to-Image
Diffusers
diffusers-training
lora
template:sd-lora
stable-diffusion-xl
stable-diffusion-xl-diffusers
Instructions to use JIHUN999/s2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use JIHUN999/s2 with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("stabilityai/stable-diffusion-xl-base-1.0", dtype=torch.bfloat16, device_map="cuda") pipe.load_lora_weights("JIHUN999/s2") prompt = "A photo in [s2] style." image = pipe(prompt).images[0] - Inference
- Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
- Xet hash:
- e22889965d5dee4d6bf2ccb65db71b8b77db268fc161c6d24d36e0835be1326a
- Size of remote file:
- 47.4 MB
- SHA256:
- 20c2541118c89af6775235e7c67942fd153451b83cc8021880e9044a0b8942fb
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