Instructions to use Jovie/Art with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Jovie/Art 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("Jovie/Art") prompt = "The image is an illustration of a young woman with a striking appearance. She has long black hair styled in two braids and wears a schoolgirl outfit consisting of a white top with a red necktie and a black pleated skirt. Her expression is somewhat pensive, with her head resting on her hand. She has several piercings in her ear and a tattoo on her arm. The background is bright red with a chain-link fence and some industrial elements, including a yellow warning sign with an exclamation mark and some text, as well as a small box with more text. The overall style is reminiscent of anime or manga art." image = pipe(prompt).images[0] - Inference
- Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
Upload Illustration.safetensors
Browse files- Illustration.safetensors +3 -0
Illustration.safetensors
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version https://git-lfs.github.com/spec/v1
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oid sha256:66bb6c51f20f6bf0154c61801b328e70b615aea2dd83bc668016ed660987ee65
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size 19272752
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