Instructions to use Jovie/Thick with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Jovie/Thick 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("Jovie/Thick") prompt = "A cute blonde woman in bikini and her doge are sitting on a couch cuddling and the expressive, stylish living room scene with a playful twist. The room is painted in a soothing turquoise color scheme, stylish living room scene bathed in a cool, textured turquoise blanket and adorned with several matching turquoise throw pillows. The room's color scheme is predominantly turquoise, relaxed demeanor. The couch is covered in a soft, reflecting light and adding to the vibrant blue hue., dark room with a sleek, spherical gold decorations, This photograph captures a scene that is whimsically styled in a vibrant, reflective cyan sunglasses. The dog's expression is cheerful, metallic fabric sofa. The dog, soothing atmosphere." image = pipe(prompt).images[0] - Inference
- Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
Upload Thick.safetensors
Browse files- Thick.safetensors +3 -0
Thick.safetensors
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version https://git-lfs.github.com/spec/v1
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oid sha256:15d25aa671040276523880c8f8d2b9f9e67967800162f8b407a9ae0f647a9cee
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size 171969497
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