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 Settings
- Draw Things
- DiffusionBee
- Xet hash:
- 73a79d42f9d6cf228e09c9b9a3f56d7412e45654a54a6695abe858f80f2d891d
- Size of remote file:
- 1.18 GB
- SHA256:
- cb0bb5b36e2719905d369aa7958af711237363913e74867a92c08548f0b6f803
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