Instructions to use refabric/outputs with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use refabric/outputs with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("SG161222/RealVisXL_V3.0_Turbo", dtype=torch.bfloat16, device_map="cuda") pipe.load_lora_weights("refabric/outputs") prompt = "photo of rfbrc_xl_vbm_ks" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
Download checkpoint-1434/optimizer.bin from refabric/outputs: direct link, hf CLI and curl.
- Browser
- Download file 15 MB
-
https://huggingface.co/refabric/outputs/resolve/main/checkpoint-1434/optimizer.bin
- Command line
-
hf download hf://refabric/outputs/checkpoint-1434/optimizer.bin
-
curl -L -o optimizer.bin https://huggingface.co/refabric/outputs/resolve/main/checkpoint-1434/optimizer.bin
15 MB
- Xet hash:
- 67df2cecd2119dce6fe06b5a7f507872462054d92da36c3bbcb75cd0640bb949
- Size of remote file:
- 15 MB
- SHA256:
- 739a50f089b3141a80823860d37d4d00714547d2d49e740b5a9b5e1dac257780
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