Instructions to use Muapi/test-neg with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Muapi/test-neg 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("Muapi/test-neg") prompt = "Astronaut in a jungle, cold color palette, muted colors, detailed, 8k" image = pipe(prompt).images[0] - Inference
- Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
- Xet hash:
- 8d637ced76c89b62d58fb137809ab25018037f25488faf88712f3527c1932c6d
- Size of remote file:
- 1.23 GB
- SHA256:
- 87ed39dcab633f26545e0ee8fc3b7c81d07bb37b0145df7c50a302aa28033900
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