Text-to-Image
Diffusers
Safetensors
StableDiffusion3Pipeline
flow-dppo
unirl
stable-diffusion-3.5
stable-diffusion-3.5-medium
Instructions to use Eculid/sd3.5-flowdppo with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Eculid/sd3.5-flowdppo with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("Eculid/sd3.5-flowdppo", dtype=torch.bfloat16, device_map="cuda") prompt = "Astronaut in a jungle, cold color palette, muted colors, detailed, 8k" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
metadata
base_model: stabilityai/stable-diffusion-3.5-medium
tags:
- flow-dppo
- unirl
- stable-diffusion-3.5
- stable-diffusion-3.5-medium
- arxiv:2606.11025
SD3.5 Medium Flow-DPPO
This repository hosts a Flow-DPPO checkpoint trained from Stable Diffusion 3.5 Medium using the UniRL Flow-DPPO recipe.
Links
- Paper: https://huggingface.co/papers/2606.11025
- Code: https://github.com/Tencent-Hunyuan/UniRL
- Base model: https://huggingface.co/stabilityai/stable-diffusion-3.5-medium
Notes
This checkpoint is provided as a community-contributed artifact for research use. It follows the usage and limitations of the Stable Diffusion 3.5 Medium base model.