Instructions to use siddani/sid-flex-2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use siddani/sid-flex-2 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("siddani/sid-flex-2") prompt = "Sid" image = pipe(prompt).images[0] - Inference
- Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
- Xet hash:
- 2e7c4ca0fac795ec2b8a6538eefa5e10f285028189fdd3c7b53ce96b7b07c4e4
- Size of remote file:
- 344 MB
- SHA256:
- 462250b1cefee2a6a1139e613c76e4cdba773312844b36d15c656a1697599913
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