Instructions to use YaroslavLinder/ISKA with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use YaroslavLinder/ISKA 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("YaroslavLinder/ISKA") prompt = "-" image = pipe(prompt).images[0] - Inference
- Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
Upload iska_lora_v1_000000300.safetensors
Browse files
iska_lora_v1_000000300.safetensors
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version https://git-lfs.github.com/spec/v1
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oid sha256:00f5160558ffb939d63ad670f992df7896518f2a333e4acff8754a2e8a588afe
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size 195076912
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