Instructions to use Jonjew/JaneLevy with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Jonjew/JaneLevy 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("Jonjew/JaneLevy") prompt = "SFW, brightly lit, aidmaimageupgrader, A portrait of a woman seated at a table in an outdoor cafe. She wears a blazer and a black turtleneck sweater, accessorized with a black beret and a gold necklace with a pendant. She holds a white mug in her hands. Her nails are painted a vibrant red. The background is blurred, highlighting the woman as the main subject. The warm color palette is dominated by reds, blacks, and golds, creating a cozy and inviting atmosphere., looking at viewer, eyelashes, fine hair detail, entire hairstyle visible, perfect eyes with iris pattern, sensual lips, nose, (perfectly sharp:1.3), realistic textures, (deep focus:1.5), 8k uhd, dslr, ultra high quality image, film grain, Fujifilm XT3<lora:pony\\Letha_Weapons_Pony_-_Adult_Actress_and_Model.safetensors:1.0:1.0> <lora:flux\\custom\\celebrity\\jane-levy.safetensors:1.0:1.0> <lora:turbo-8-step-flux.safetensors:0.5:0.5> <lora:flux\\style\\Common\\aidmaImageUprader-FLUX-v0.3.safetensors:0.25:0.25>" image = pipe(prompt).images[0] - Inference
- Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
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