Instructions to use Jonjew/KimCattrall1982 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Jonjew/KimCattrall1982 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/KimCattrall1982") prompt = "<lora:Kim_Cattrall_Ca1982:1> woman professional photography, Canon DSLR, macro shot, extreme close-up, strong backlighting, golden hour, sunset., award winning, masterpiece, Looking Directly At The Viewer, Centered, Making Eye Contact, Looking Straight Ahead, Looking Forward, Striking A Dynamic Pose, <lora:zz_s_Chest_Size_Slider:-1.5>, Big Smile" image = pipe(prompt).images[0] - Inference
- Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
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