Instructions to use Emilio407/flux2tiny-MiniCPM5-1B with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Emilio407/flux2tiny-MiniCPM5-1B 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.2-klein-4B,openbmb/MiniCPM5-1B,black-forest-labs/FLUX.2-small-decoder", dtype=torch.bfloat16, device_map="cuda") pipe.load_lora_weights("Emilio407/flux2tiny-MiniCPM5-1B") prompt = "Astronaut in a jungle, cold color palette, muted colors, detailed, 8k" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
- Xet hash:
- 74b26015bb11021d2c7ac70e299978318c20cff9c8260495857ac4026058d65d
- Size of remote file:
- 23.6 MB
- SHA256:
- 02a5281560b78d74b11539e02b0570ca8579da75249c705a98606b672397065e
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