Instructions to use Jonjew/ThoraBirch with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Jonjew/ThoraBirch 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/ThoraBirch") prompt = "SFW, brightly lit, The image is a black and white portrait of a woman with dark hair styled in loose curls. She is wearing a red dress with ruffles on the shoulders and neckline. The woman is looking directly at the camera with a serious expression on her face. The background is blurred, but it appears to be an outdoor setting with people walking around. The overall mood of the image is dramatic and edgy., aidmaimageupgrader<lora:flux\\custom\\celebrity\\thora-birch.safetensors:1.05:1.05> <lora:flux\\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
Welcome to the community
The community tab is the place to discuss and collaborate with the HF community!