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", 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
metadata
tags:
- text-to-image
- lora
- diffusers
- template:diffusion-lora
widget:
- text: '-'
output:
url: images/photo_2024-10-31_20-24-47.jpg
- text: '-'
output:
url: images/photo_2024-10-31_20-24-42.jpg
- text: '-'
output:
url: images/photo_2024-10-31_20-24-37.jpg
- text: '-'
output:
url: images/photo_2024-10-31_20-24-35.jpg
- text: '-'
output:
url: images/photo_2024-10-31_20-24-32.jpg
- text: '-'
output:
url: images/photo_2024-10-31_20-24-29.jpg
- text: '-'
output:
url: images/photo_2024-10-31_20-23-57.jpg
base_model: black-forest-labs/FLUX.1-dev
instance_prompt: null
Lozhkin style

- Prompt
- -

- Prompt
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- Prompt
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- Prompt
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- Prompt
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- Prompt
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Download model
Weights for this model are available in Safetensors format.
Download them in the Files & versions tab.