Text-to-Image
Diffusers
TensorBoard
Safetensors
StableDiffusion3Pipeline
diffusers-training
template:sd-lora
sd3
sd3-diffusers
Instructions to use MoritzAMLLaura/trained-sd3 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use MoritzAMLLaura/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("MoritzAMLLaura/trained-sd3", dtype=torch.bfloat16, device_map="cuda") prompt = "a photo of sks dog" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
Download tokenizer_2/merges.txt from MoritzAMLLaura/trained-sd3: direct link, hf CLI and curl.
- Browser
- Download file 525 kB
-
https://huggingface.co/MoritzAMLLaura/trained-sd3/resolve/main/tokenizer_2/merges.txt
- Command line
-
hf download hf://MoritzAMLLaura/trained-sd3/tokenizer_2/merges.txt
-
curl -L -o merges.txt https://huggingface.co/MoritzAMLLaura/trained-sd3/resolve/main/tokenizer_2/merges.txt
525 kB
File too large to display, you can check the raw version instead.