Text-to-Image
Diffusers
Safetensors
StableDiffusion3Pipeline
diffusers-training
sd3
sd3-diffusers
template:sd-lora
Instructions to use sosoai/trained-sd3 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use sosoai/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("sosoai/trained-sd3", dtype=torch.bfloat16, device_map="cuda") prompt = "A photo of modern design of pvcsheet" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
Download image_0.png from sosoai/trained-sd3: direct link, hf CLI and curl.
- Browser
- Download file 1.36 MB
-
https://huggingface.co/sosoai/trained-sd3/resolve/main/image_0.png
- Command line
-
hf download hf://sosoai/trained-sd3/image_0.png
-
curl -L -o image_0.png https://huggingface.co/sosoai/trained-sd3/resolve/main/image_0.png
1.36 MB

- Xet hash:
- ecf820877d42c62f45c674b335e4a59c04ee1ae6409bf31171a0a3597bfa4d42
- Size of remote file:
- 1.36 MB
- SHA256:
- 8941b645af3015c99c0dfea1ff4f273fc525240460a543cbde2d5e5d75ad5ebf
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