Instructions to use Michael27037/test with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Michael27037/test with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("city96/FLUX.1-dev-gguf", dtype=torch.bfloat16, device_map="cuda") pipe.load_lora_weights("Michael27037/test") prompt = "spitz" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps
- Draw Things
- DiffusionBee
- Xet hash:
- e60c5fcaf5a88bfbfbd8aabbb9131841594b1675c37d8bc5395582bb698ef0df
- Size of remote file:
- 980 kB
- SHA256:
- 71e6a31fca402c8572955a43d6935599305be7a4171ce087f5bd092d92722a82
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