Instructions to use Jonjew/AmandaBearse with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Jonjew/AmandaBearse 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/AmandaBearse") prompt = "SFW, The image shows a woman sitting on a blue armchair in front of an old-fashioned television. The television is turned on and the screen is turned off. The woman is wearing a pink dress and black high heels. She has e hair styled in a short bob and is smiling at the camera. The background shows a wooden door and a beige wall. The overall mood of the image is vintage and nostalgic., aidmaimageupgrader<lora:flux\\custom\\celebrity\\amanda-bearse.safetensors:1.0:1.0> <lora:turbo-8-step-flux.safetensors:0.5:0.5> <lora:flux\\style\\Common\\aidmaImageUprader-FLUX-v0.3.safetensors:0.25:0.25>" image = pipe(prompt).images[0] - Inference
- Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
Ctrl+K