Instructions to use jessedelang/mrjesse-Lora-Replicate with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use jessedelang/mrjesse-Lora-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("jessedelang/mrjesse-Lora-Replicate") prompt = "Jesse" image = pipe(prompt).images[0] - Inference
- Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
- Xet hash:
- c894ab6d44971e5bed4a125e48073f01582b3e0567146aa58edb264fd375b8ff
- Size of remote file:
- 172 MB
- SHA256:
- acbb54a15ddfc0d3ce43e3b9bfe58331f67f3afa0933f4a3eda2432e5c658cb8
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