Instructions to use 12ss33/8MP with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use 12ss33/8MP 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("12ss33/8MP") prompt = "a photo of signal heat map" image = pipe(prompt).images[0] - Inference
- Notebooks
- Google Colab
- Kaggle
- Local Apps
- Draw Things
- DiffusionBee
- Xet hash:
- d97c7af299e325e33e86c512eecbca767a80876ee035173a09bd38d66b7c535a
- Size of remote file:
- 1.18 GB
- SHA256:
- 595c46208e6dd4c0fc14f72027fd4b20a240112bb498fa59ae218b620d23276d
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