Text-to-Image
Diffusers
Safetensors
StableDiffusion3Pipeline
diffusers-training
lora
template:sd-lora
sd3
sd3-diffusers
Instructions to use saikiranp321/trained-sd3-lora with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use saikiranp321/trained-sd3-lora 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("saikiranp321/trained-sd3-lora") 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/spiece.model from saikiranp321/trained-sd3-lora: direct link, hf CLI and curl.
- Browser
- Download file 792 kB
-
https://huggingface.co/saikiranp321/trained-sd3-lora/resolve/main/tokenizer_3/spiece.model
- Command line
-
hf download hf://saikiranp321/trained-sd3-lora/tokenizer_3/spiece.model
-
curl -L -o spiece.model https://huggingface.co/saikiranp321/trained-sd3-lora/resolve/main/tokenizer_3/spiece.model
792 kB
- Xet hash:
- e7463c1c6b7c46ae0de79b004f3d7318bf4307ef0bef4de3be2e38ae80fab160
- Size of remote file:
- 792 kB
- SHA256:
- d60acb128cf7b7f2536e8f38a5b18a05535c9e14c7a355904270e15b0945ea86
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