Instructions to use aigchacker/FLUX.1-dev-LoRA-One-Click-Creative-Template with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use aigchacker/FLUX.1-dev-LoRA-One-Click-Creative-Template 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("aigchacker/FLUX.1-dev-LoRA-One-Click-Creative-Template") prompt = "A young man, gold hair, white T-shirt. The background is 4 real photos, and in the middle is a cartoon picture summarizing the real photos." image = pipe(prompt).images[0] - Inference
- Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
- Xet hash:
- d4f8c9037ed3e221e254cedda7fafb85d7a5b67c8640a4e1288857aae661801d
- Size of remote file:
- 134 Bytes
- SHA256:
- e666b9e726769f3768504a86df639493f2fdfdd23904f04a84667716e87f80f1
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