Instructions to use xmarkinmtlx/steif with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use xmarkinmtlx/steif with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("black-forest-labs/FLUX.1-dev", dtype=torch.bfloat16, device_map="cuda") pipe.load_lora_weights("xmarkinmtlx/steif") prompt = "An ultra-detailed image of STEIF wearing aviator sunglasses and a green \"HEALTHY \" t-shirt" image = pipe(prompt).images[0] - Inference
- Notebooks
- Google Colab
- Kaggle
- Local Apps
- Draw Things
- DiffusionBee
Add steif.safetensors
Browse files- steif.safetensors +3 -0
steif.safetensors
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version https://git-lfs.github.com/spec/v1
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oid sha256:066f1c0ca2528becb78cffbdcec62fdee31a541aa8cb5320c54a5f980fa6334a
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size 172070512
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