Instructions to use mrTvister/klbk with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use mrTvister/klbk 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("mrTvister/klbk") prompt = "The witcher stands in a dark, misty forest, his piercing eyes fixed directly on the camera. He wears weathered leather armor adorned with silver studs and carries two swords on his back. His white hair is tied back, revealing a scar across his face. The surrounding forest is dense with gnarled, ancient trees, their branches twisting overhead. Shafts of pale moonlight filter through the canopy, casting eerie shadows on the forest floor. In the background, a faint green glow emanates from wild herbs and mysterious fungi. The witcher's gloved hand rests on the hilt of his silver sword, ready for any supernatural threat that may emerge from the shadowy woods. <lora:Sledstvie_vedut_Kolobki:1>" image = pipe(prompt).images[0] - Inference
- Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
Add 2 files
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Sledstvie_vedut_Kolobki_flux.safetensors
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version https://git-lfs.github.com/spec/v1
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oid sha256:87f499759620561db5f7f9ca9a05d5b5f55ca3789c69d57eb83eaac3ccabe0a8
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size 19267776
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images/00007-905326775.png
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Git LFS Details
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