Text-to-Image
Diffusers
Safetensors
StableDiffusion3Pipeline
diffusers-training
lora
sd3
sd3-diffusers
template:sd-lora
Instructions to use depgh4311/Sd3 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use depgh4311/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("depgh4311/Sd3") prompt = "app icons" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
- Xet hash:
- 20dd7ea64b2294255cda6cc4b4b5023fe79c8fd624991a1634514b484146ad1a
- Size of remote file:
- 9.6 MB
- SHA256:
- c114798ed4f5b2b2c8673a574b278d0ac81cc22255d9e928a7b1e5b4a5b04b2f
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.