Text-to-Image
Diffusers
Safetensors
StableDiffusion3Pipeline
diffusers-training
sd3
sd3-diffusers
template:sd-lora
lora
Instructions to use igorgoncharenko15/trained-sd3 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use igorgoncharenko15/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("stabilityai/stable-diffusion-3-medium-diffusers", dtype=torch.bfloat16, device_map="cuda") pipe.load_lora_weights("igorgoncharenko15/trained-sd3") prompt = "A picture of sbercat looking straight" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
Download checkpoint-2000/optimizer.bin from igorgoncharenko15/trained-sd3: direct link, hf CLI and curl.
- Browser
- Download file 16.2 GB
-
https://huggingface.co/igorgoncharenko15/trained-sd3/resolve/main/checkpoint-2000/optimizer.bin
- Command line
-
hf download hf://igorgoncharenko15/trained-sd3/checkpoint-2000/optimizer.bin
-
curl -L -o optimizer.bin https://huggingface.co/igorgoncharenko15/trained-sd3/resolve/main/checkpoint-2000/optimizer.bin
16.2 GB
- Xet hash:
- b07fb9da9721a6269dec597324aff136ebce786466c11ca3d1995f911bf5a4d4
- Size of remote file:
- 16.2 GB
- SHA256:
- d45f1aff4ea517e7eaecb85d6d57cbc6e003a9fe313bc486044d5f2448d46a64
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