Instructions to use Jonjew/HeatherLocklear1990s with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Jonjew/HeatherLocklear1990s 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/HeatherLocklear1990s") prompt = "<lora:Heather_Locklear_Flux:1.2> The image is a photograph featuring a young woman standing in a cafe, looking at the viewer. smile. She has shoulder-length blonde hair. She has striking blue eyes and is smiling gently at the camera. She is wearing a sleeveless, halter-neck white dress made of sequined fabric, which catches the light and adds a shimmering texture to her attire." image = pipe(prompt).images[0] - Inference
- Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
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Browse files
Heather_Locklear_Flux.safetensors
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version https://git-lfs.github.com/spec/v1
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oid sha256:9d042ad6cdcde398f83905e37494070da3251eb85ae264d166455bc7d932545a
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size 19312736
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images/00028-3139735939.png
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Git LFS Details
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