Text-to-Image
Diffusers
diffusers-training
lora
template:sd-lora
stable-diffusion-xl
stable-diffusion-xl-diffusers
Instructions to use minimini99/s19 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use minimini99/s19 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-xl-base-1.0", dtype=torch.bfloat16, device_map="cuda") pipe.load_lora_weights("minimini99/s19") prompt = "A tree in [s19] style" image = pipe(prompt).images[0] - Inference
- Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
Download checkpoint-400/optimizer.bin from minimini99/s19: direct link, hf CLI and curl.
- Browser
- Download file 47.4 MB
-
https://huggingface.co/minimini99/s19/resolve/main/checkpoint-400/optimizer.bin
- Command line
-
hf download hf://minimini99/s19/checkpoint-400/optimizer.bin
-
curl -L -o optimizer.bin https://huggingface.co/minimini99/s19/resolve/main/checkpoint-400/optimizer.bin
47.4 MB
- Xet hash:
- ac2a576633da4a6769e93c98d463fdf3ef6bf030e01c663486b4ab4d3437ffde
- Size of remote file:
- 47.4 MB
- SHA256:
- 610418f24fec50cb7c6d96281dd934dbf5dd50d0076fb84d37cff6808af39011
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