Instructions to use mrTvister/Lozhkin with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use mrTvister/Lozhkin 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", torch_dtype=torch.bfloat16, device_map="cuda") pipe.load_lora_weights("mrTvister/Lozhkin") prompt = "-" image = pipe(prompt).images[0] - Inference
- Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
- Xet hash:
- fc5d11a49a125cb21c938005898c17086e31f914a11211ed0b78952a002131a0
- Size of remote file:
- 172 MB
- SHA256:
- 99c2e664f007059b4ff128f2a6f12fb36ad4abcc938635a09c3503bd0614de70
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