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-500/optimizer.bin from refabric/outputs: direct link, hf CLI and curl.
- Browser
- Download file 47.4 MB
-
https://huggingface.co/refabric/outputs/resolve/main/checkpoint-500/optimizer.bin
- Command line
-
hf download hf://refabric/outputs/checkpoint-500/optimizer.bin
-
curl -L -o optimizer.bin https://huggingface.co/refabric/outputs/resolve/main/checkpoint-500/optimizer.bin
47.4 MB
- Xet hash:
- 054dd29ae0455c406892a969bae5cdb31493edcde585de264319583c150f953d
- Size of remote file:
- 47.4 MB
- SHA256:
- 76b96a762bc3a49ea68ca090a70288054aae2f264159083759358a08d1801fc5
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