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
- Draw Things
- DiffusionBee
- Xet hash:
- 46f64aaf14071940c2f0ccff33650eeb242abc314f85c34ae83cbc6a3bd4bf0f
- Size of remote file:
- 1.4 kB
- SHA256:
- 0f35451b48db27b2dcf1c993eb01d28b28506a7be2cbf43a922709a42f00ee67
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