Instructions to use 12ss33/4 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use 12ss33/4 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("12ss33/4") prompt = "a photo of signal heat map" image = pipe(prompt).images[0] - Inference
- Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
- Xet hash:
- 36fbd343a74e56c20cc3d7018b86d0c5450f2b7bf6ee6baabd1ee5d78d042b18
- Size of remote file:
- 1.18 GB
- SHA256:
- 78236b50c230917bd98a80c05b507115804e0854387f43fbfac001afe952019a
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