Instructions to use Muapi/impossible-ce with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Muapi/impossible-ce 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/impossible-ce") 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:
- 1b205012259084304554bf4630294eb957a774ffd0b3dc7fb6961595f5d792ac
- Size of remote file:
- 86 MB
- SHA256:
- b97bd705eacbcf7ec9f095926a1db6add9a6c502c735e82a191d4b4f570fff45
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