Text-to-Image
Diffusers
Safetensors
StableDiffusion3Pipeline
diffusers-training
sd3
sd3-diffusers
template:sd-lora
Instructions to use ZhangxinruBIT/trained-sd3 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use ZhangxinruBIT/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("ZhangxinruBIT/trained-sd3", dtype=torch.bfloat16, device_map="cuda") 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 tokenizer_3/tokenizer.json from ZhangxinruBIT/trained-sd3: direct link, hf CLI and curl.
- Browser
- Download file 2.42 MB
-
https://huggingface.co/ZhangxinruBIT/trained-sd3/resolve/main/tokenizer_3/tokenizer.json
- Command line
-
hf download hf://ZhangxinruBIT/trained-sd3/tokenizer_3/tokenizer.json
-
curl -L -o tokenizer.json https://huggingface.co/ZhangxinruBIT/trained-sd3/resolve/main/tokenizer_3/tokenizer.json
2.42 MB
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