Instructions to use UmeAiRT/FLUX.1-dev-LoRA-Modern_Pixel_art with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use UmeAiRT/FLUX.1-dev-LoRA-Modern_Pixel_art 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("UmeAiRT/FLUX.1-dev-LoRA-Modern_Pixel_art") prompt = "(ruins, broken, summer, dappled sunlight:1.2), sun, tree, forest, scenery, rock, reflection, water, ancient, overgrown, mountains, sunset, clouds, mountainous horizon, fantasy, medieval, 1other, looking away, cloak, (pixel art, pixelated:1.2), (masterpiece, exceptional, best aesthetic, best quality, masterpiece, extremely detailed:1.2), in the style of umempart" image = pipe(prompt).images[0] - Inference
- Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
- Xet hash:
- a84cdd18bfac50f379dcedeaed35fe52aad7ceba8bdcc3ff2d5955d21ccb707c
- Size of remote file:
- 5.2 MB
- SHA256:
- ee59bd3f8d062592bca23a71dd04ff19db51ee36c68f618a6c79bd2a3ad1a4d1
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