Instructions to use Smijack/Crockett with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Smijack/Crockett 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("Smijack/Crockett") prompt = "historic institutional building, abandoned school structure, rectilinear brick massing with corner emphasis, red brick masonry with limestone trim, boarded and deteriorated windows with dark interior voids, two-story volume with continuous parapet, dusk lighting with cool ambient tones, oblique corner perspective, asymmetrical composition with overgrown grass foreground, atmospheric image with visible grain" 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!