Instructions to use CIawevy/Flux.1-dev-TextPecker-SQPA with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use CIawevy/Flux.1-dev-TextPecker-SQPA with PEFT:
Task type is invalid.
- Diffusers
How to use CIawevy/Flux.1-dev-TextPecker-SQPA 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("CIawevy/Flux.1-dev-TextPecker-SQPA") prompt = "Astronaut in a jungle, cold color palette, muted colors, detailed, 8k" image = pipe(prompt).images[0] - Inference
- Notebooks
- Google Colab
- Kaggle
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