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", 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
Commit History
23 days ago
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update
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update
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Release SD3.5-M HPSv2.1, PickScore, and CLIPScore adapters
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Update README.md
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Add DiffusionOPSD model card
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Add model card assets
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Remove training-only old adapters
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Upload sd35-m-hpsv3 LoRA
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Upload z-image-turbo-hpsv3 LoRA
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Upload z-image-turbo-pointwise LoRA
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initial commit
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