Text-to-Image
Diffusers
Safetensors
PEFT
stable-diffusion
stable-diffusion-3.5
lora
preference-alignment
dpo
diffusion-dpo
Instructions to use Xixixixihahahaha/RealAlign-SD-3.5-M with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Xixixixihahahaha/RealAlign-SD-3.5-M 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-3.5-medium", dtype=torch.bfloat16, device_map="cuda") pipe.load_lora_weights("Xixixixihahahaha/RealAlign-SD-3.5-M") prompt = "Astronaut in a jungle, cold color palette, muted colors, detailed, 8k" image = pipe(prompt).images[0] - PEFT
How to use Xixixixihahahaha/RealAlign-SD-3.5-M with PEFT:
Task type is invalid.
- Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
Improve model card: add metadata, paper links, and project info
#1
by nielsr HF Staff - opened
This PR improves the model card for the RealAlign SD-3.5-M model.
Key changes:
- Added
library_name: diffusers(verified viaadapter_config.json). - Added
pipeline_tag: text-to-image. - Linked the
base_modeltostabilityai/stable-diffusion-3.5-medium. - Added links to the paper, project page, and official GitHub repository.
- Included a brief method description and BibTeX citation placeholder.
Thanks for the PR and the improvements! Looks good to me. I'll review and merge it shortly.
Xixixixihahahaha changed pull request status to closed