Instructions to use hb23/experiment_1 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use hb23/experiment_1 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("hb23/experiment_1") prompt = "A photo of <skswr>, studio lighting, professional portrait" image = pipe(prompt).images[0] - Inference
- Notebooks
- Google Colab
- Kaggle
- Local Apps
- Draw Things
- DiffusionBee
- Xet hash:
- b38ff707eff533f25e29c982f54bca3584a89101ad28394944e467c2fe38f367
- Size of remote file:
- 185 MB
- SHA256:
- 672f0086f3aefdeb45b32639b134da30db8036adbd37a978d69c9bec1198494c
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