Instructions to use prithivMLmods/Flux-C33-Design-LoRA with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use prithivMLmods/Flux-C33-Design-LoRA 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("prithivMLmods/Flux-C33-Design-LoRA") prompt = "C33 Design, a close-up shot captures a vibrant blue smiley face, adorned with a black hat adorned with two yellow buttons. The hat is adorned with an eye-level yellow circle with a smiling face, adding a pop of color to the scene. The eyes are glowing blue, creating a striking contrast to the black hat. The helmet is adorned by a black strap, adding depth to the composition. The background is a muted gray, adding to the overall composition." image = pipe(prompt).images[0] - Inference
- Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
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Browse files
C33.safetensors
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images/909708f143c61cb1ed9e8c63e09f6740.jpg
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