Instructions to use Jonjew/LilyJamesCa2014 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Jonjew/LilyJamesCa2014 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/LilyJamesCa2014") prompt = "<lora:Lily_James_Ca2014:1> woman Wearing Sci-Fi Titanium Suit of Battle Armor, Cybernetic Influences, Robotic Battle Armor, Titanium Battle Armor Gloves, Futuristic Massive Wide Anime-Style Titanium Sword, Action Scene, Film Still, Background is Post-Apocalyptic Wasteland, Smoke Rising in the Distance, Sun is Seen as Orange Through the Rising Smoke, <lora:zz_s_Chest_Size_Slider:-2> buttoned up top, Extreme Close-Up, Zoomed, Focus On Face, Centered, Macro Shot, Face Centered, Focus On Eyes" image = pipe(prompt).images[0] - Inference
- Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
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