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:
- 22067391ec4814ffc5d09e0abc37db43126f73c2e17071d3f639d75112a07f7b
- Size of remote file:
- 648 kB
- SHA256:
- 8c5005625804f6475e3fa3ba8b921dc5acbbe4696e5d1d34f49a3e5b2aee761d
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