Instructions to use Jonjew/ChloeGraceMoretz2015 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Jonjew/ChloeGraceMoretz2015 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/ChloeGraceMoretz2015") prompt = "<lora:Chloe_Grace_Moretz_Ca2015:1> woman A Close-Up Photograph, Looking Back, Background Is A Blurred View Of An Awards Ceremony, Emphasizing The Texture And Color Variations In The Hair, Overall Effect Is Natural And Elegant, Showcasing The Beauty Of The Hair In A Detailed And Artistic Manner, Lighting Effects, Diffused Lighting On The Skin <Lora:zz_s_Fluxartis:0.55> A Highly Detailed Cinematic Photography <Lora:zz_s_Stylish_Lighting:0.55>, Extreme Close-Up, Zoomed, Focus On Face, Centered, Macro Shot, Face Centered, Focus On Eyes, Looking Directly At The Viewer, Looking Directly At The Camera, Making Eye Contact, Looking Straight Ahead, <lora:zz_s_Chest_Size_Slider:-2> High Collar, Chest Covered" image = pipe(prompt).images[0] - Inference
- Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
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