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/KateJackson1972")
prompt = "<lora:Kate_Jackson_Ca1972:1> woman a, Looking Directly At The Viewer, Centered, Making Eye Contact, Looking Straight Ahead, Looking Forward, Striking A Dynamic Pose, <lora:zz_s_Chest_Size_Slider:-2.5>"
image = pipe(prompt).images[0]Kate Jackson (Ca 1972)
- Prompt
- <lora:Kate_Jackson_Ca1972:1> woman a, Looking Directly At The Viewer, Centered, Making Eye Contact, Looking Straight Ahead, Looking Forward, Striking A Dynamic Pose, <lora:zz_s_Chest_Size_Slider:-2.5>
Model description
FROM https://civitai.com/models/1442215/kate-jackson-ca-1972?modelVersionId=1630359
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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/KateJackson1972
Base model
black-forest-labs/FLUX.1-dev