Instructions to use TDN-M/PlusHDR with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use TDN-M/PlusHDR 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-large", dtype=torch.bfloat16, device_map="cuda") pipe.load_lora_weights("TDN-M/PlusHDR") prompt = "Byzantine style portrait of girl with golden background, sexy outfit, upper body, front view, (Masterpiece, Top Quality, Top Image Quality, Official Art, Aesthetic and Beautiful:1.2), (1girl:1.4), Portrait, Superb Color, Top Definition, Simple background, 16K, High Resolution, Perfect Dynamic Composition, Bokeh, (Sharp Focus:1.2), Super Wide Angle, High Angle, High Color Contrast, Medium Shot, Depth of Field, Background Blur," image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps
- Draw Things
- DiffusionBee
Add 2 files
Browse files- images/1234.jfif +0 -0
- pytorch_lora_weights.safetensors +3 -0
images/1234.jfif
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version https://git-lfs.github.com/spec/v1
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oid sha256:5bba61c1f3df8fa4f1ebafc3230b63596431711e2e083afaf796380b494fd841
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size 94673392
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