Instructions to use Jamesross/James_replicate with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Jamesross/James_replicate 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("Jamesross/James_replicate") prompt = "TOK" image = pipe(prompt).images[0] - Inference
- Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
- Xet hash:
- ad23279bca4e4f268db0026a0ab1ef01af1ce864071a42ba44dc98a8df24ab4b
- Size of remote file:
- 173 MB
- SHA256:
- 130758d8dfd8f7a799267cde2e64f9a9f1ea6833c8d0e7b4c08fef47b0edbbde
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