Instructions to use Omarito2412/Flux-Commodore-64 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Omarito2412/Flux-Commodore-64 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("Omarito2412/Flux-Commodore-64") prompt = "The image is a C64 pixel style illustration of beautiful girl with blonde hair and green eyes. She is wearing a shirt with text \"Commodore 64\"" image = pipe(prompt).images[0] - Inference
- Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
Add 8 files
Browse files- C64_Flux.safetensors +3 -0
- images/C64_Flux_e000005_00_20240817082830.png +3 -0
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- images/ComfyUI_temp_fdyji_00004_.png +3 -0
- images/ComfyUI_temp_fdyji_00025_.png +3 -0
- images/MarkuryFLUX_00256_.png +3 -0
- images/MarkuryFLUX_00269_.png +3 -0
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