Instructions to use sunday96/stepania2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use sunday96/stepania2 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/Realistic_Vision_V1.4", dtype=torch.bfloat16, device_map="cuda") pipe.load_lora_weights("sunday96/stepania2") prompt = "stepania" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
Upload pytorch_model.bin
Browse files- pytorch_model.bin +3 -0
pytorch_model.bin
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version https://git-lfs.github.com/spec/v1
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oid sha256:ba96889d2857a24fb0c770a56cd7713cf7f82fc5b5733c38c8e0dab3835e4d14
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size 3285965
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