Instructions to use ChandrilBasu/Jstyle with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use ChandrilBasu/Jstyle 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("ChandrilBasu/Jstyle") prompt = "<lora:4si4n-step00000800:0.8> 4si4n, depicts an scene of gigachad man as a samurai, poster from the series Fifty-Three Stations of the Tokaido by Utagawa Kunisada Toyokuni III/Kunisada III. gigachad man <lora:gigachad:1>" image = pipe(prompt).images[0] - Inference
- Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
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Download README.md from ChandrilBasu/Jstyle: direct link, hf CLI and curl.
- Browser
- Download file 699 Bytes
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https://huggingface.co/ChandrilBasu/Jstyle/resolve/main/README.md
- Command line
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hf download hf://ChandrilBasu/Jstyle/README.md
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curl -L -o README.md https://huggingface.co/ChandrilBasu/Jstyle/resolve/main/README.md
699 Bytes
| tags: | |
| - text-to-image | |
| - lora | |
| - diffusers | |
| - template:diffusion-lora | |
| widget: | |
| - text: >- | |
| <lora:4si4n-step00000800:0.8> 4si4n, depicts an scene of gigachad man as a | |
| samurai, poster from the series Fifty-Three Stations of the Tokaido by | |
| Utagawa Kunisada Toyokuni III/Kunisada III. gigachad man <lora:gigachad:1> | |
| output: | |
| url: images/41211098.png | |
| base_model: black-forest-labs/FLUX.1-dev | |
| instance_prompt: 4si4n | |
| # Jstyle | |
| <Gallery /> | |
| ## Trigger words | |
| You should use `4si4n` to trigger the image generation. | |
| ## Download model | |
| Weights for this model are available in Safetensors format. | |
| [Download](/ChandrilBasu/Jstyle/tree/main) them in the Files & versions tab. | |