Text-to-Image
Diffusers
Safetensors
StableDiffusion3Pipeline
diffusers-training
template:sd-lora
sd3
sd3-diffusers
Instructions to use luzi233/trained-sd3.5-medium with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use luzi233/trained-sd3.5-medium with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("luzi233/trained-sd3.5-medium", dtype=torch.bfloat16, device_map="cuda") prompt = "a photo of sks dog" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
Download checkpoint-500/optimizer.bin from luzi233/trained-sd3.5-medium: direct link, hf CLI and curl.
- Browser
- Download file 4.56 GB
-
https://huggingface.co/luzi233/trained-sd3.5-medium/resolve/main/checkpoint-500/optimizer.bin
- Command line
-
hf download hf://luzi233/trained-sd3.5-medium/checkpoint-500/optimizer.bin
-
curl -L -o optimizer.bin https://huggingface.co/luzi233/trained-sd3.5-medium/resolve/main/checkpoint-500/optimizer.bin
4.56 GB
- Xet hash:
- 23a9e3df65bdca17b932af9ab4324e8f481a20ba3029ef7cc628dcb541163db8
- Size of remote file:
- 4.56 GB
- SHA256:
- 47696f0a8caf8dce5927b08547cfd01a714b7789957f49660f9f01c17063d64f
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