Instructions to use Muapi/prismatica2024 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Muapi/prismatica2024 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/prismatica2024") 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:
- 4f63678463a370445f7c987dcff81664341a9bf7333991fedf6e1447ca66e5ae
- Size of remote file:
- 77 MB
- SHA256:
- c57ef7fe2bd804dda97be9b6e1b5e4621fff3dd130c7b1719cdc34299e25e66e
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