Instructions to use henryyiw/trained-sd3 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use henryyiw/trained-sd3 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-medium-diffusers", dtype=torch.bfloat16, device_map="cuda") pipe.load_lora_weights("henryyiw/trained-sd3") prompt = "A photo of sks dog in a bucket" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
Download checkpoint-500/optimizer.bin from henryyiw/trained-sd3: direct link, hf CLI and curl.
- Browser
- Download file 4.88 MB
-
https://huggingface.co/henryyiw/trained-sd3/resolve/main/checkpoint-500/optimizer.bin
- Command line
-
hf download hf://henryyiw/trained-sd3/checkpoint-500/optimizer.bin
-
curl -L -o optimizer.bin https://huggingface.co/henryyiw/trained-sd3/resolve/main/checkpoint-500/optimizer.bin
4.88 MB
- Xet hash:
- 2b89ccca22cdecedf0da3f9ca38415435a39fd3bf35f3b0f3720aa57cdbb051a
- Size of remote file:
- 4.88 MB
- SHA256:
- 71c8814e133b8b0261a21a6a4d914c100a1a2c02c0983813ce96a4517ee87dbd
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