Text-to-Image
Diffusers
Safetensors
StableDiffusion3Pipeline
diffusers-training
template:sd-lora
sd3
sd3-diffusers
Instructions to use jatr96/trained-sd3 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use jatr96/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("jatr96/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 checkpoint-500/optimizer.bin from jatr96/trained-sd3: direct link, hf CLI and curl.
- Browser
- Download file 4.12 GB
-
https://huggingface.co/jatr96/trained-sd3/resolve/main/checkpoint-500/optimizer.bin
- Command line
-
hf download hf://jatr96/trained-sd3/checkpoint-500/optimizer.bin
-
curl -L -o optimizer.bin https://huggingface.co/jatr96/trained-sd3/resolve/main/checkpoint-500/optimizer.bin
4.12 GB
- Xet hash:
- 425fe6cf258db3955504323dfb7d55383fb423eadacd7e7ef00656288179d3c6
- Size of remote file:
- 4.12 GB
- SHA256:
- 9adcc2811b953100584cfb4a3a36453fd25db8ab96eaf142b3aeb5d0a8aad29e
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