Text-to-Image
Diffusers
Safetensors
diffusion
image-generation
reinforcement-learning
self-distillation
lora
Instructions to use WeiChow/DiffusionOPSD with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use WeiChow/DiffusionOPSD 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,Tongyi-MAI/Z-Image-Turbo", dtype=torch.bfloat16, device_map="cuda") pipe.load_lora_weights("WeiChow/DiffusionOPSD") prompt = "Astronaut in a jungle, cold color palette, muted colors, detailed, 8k" image = pipe(prompt).images[0] - Inference
- Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee

- Xet hash:
- 6a1b2f81eccea867f9f58cef2a250133431fe17ff1435d4a1eca9a1359f63085
- Size of remote file:
- 3.27 MB
- SHA256:
- f8bbf7fc51d0aab75f9cef972d831b1910ca6c3f36c6378caf6212bdf4d157bc
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