Text-to-Image
Diffusers
diffusers-training
lora
template:sd-lora
sd3
sd3-diffusers
sd3.5-large
sd3.5
sd3.5-diffusers
Instructions to use izangale/trained-sd3-lora with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use izangale/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("izangale/trained-sd3-lora") prompt = "A ID card of Chile" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
Download checkpoint-25000/optimizer.bin from izangale/trained-sd3-lora: direct link, hf CLI and curl.
- Browser
- Download file 19.1 MB
-
https://huggingface.co/izangale/trained-sd3-lora/resolve/main/checkpoint-25000/optimizer.bin
- Command line
-
hf download hf://izangale/trained-sd3-lora/checkpoint-25000/optimizer.bin
-
curl -L -o optimizer.bin https://huggingface.co/izangale/trained-sd3-lora/resolve/main/checkpoint-25000/optimizer.bin
19.1 MB
- Xet hash:
- 8685523fb7c17c13eec62801a222b72a94ff9446c6a4325107c8c9dc10a93fb7
- Size of remote file:
- 19.1 MB
- SHA256:
- 856d4673781f0671d6aab45088c57607bd6fd9ac78f927183792e4d868a012dd
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