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]Kim Cattrall (Ca 1982)
- 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
Model description
FROM https://civitai.com/models/1386587/kim-cattrall-ca-1982?modelVersionId=1566954
Trigger woman
Strength 1
Trigger words
You should use woman to trigger the image generation.
Download model
Weights for this model are available in Safetensors format.
Download them in the Files & versions tab.
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Model tree for Jonjew/KimCattrall1982
Base model
black-forest-labs/FLUX.1-dev