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:
- abce38b3624be2fba62735dd6980f67bda29003a5976698e45aabf4c02010868
- Size of remote file:
- 457 kB
- SHA256:
- 4b0957a7be1400112a33656b144beab34bf58eebb8645e282aa0529e2d9cfd1f
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