Instructions to use tarvico/fycera_designing with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use tarvico/fycera_designing with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("tarvico/fycera_designing", dtype=torch.bfloat16, device_map="cuda") prompt = "Astronaut in a jungle, cold color palette, muted colors, detailed, 8k" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
| license: creativeml-openrail-m | |
| tags: | |
| - text-to-image | |
| - fycera-designing | |
| # Fycera Designing | |
| Fycera Designing is an AI-powered image generation model developed for the Fycera platform. | |
| It is designed to create high-quality visual designs from natural language prompts, supporting creative workflows, branding, concept visualization, marketing assets, and other AI-assisted design tasks. | |
| The model generates design recommendations and visual content only. Human review is recommended before using generated assets in production or commercial environments. | |
| ## Overview | |
| - AI-powered text-to-image generation | |
| - Optimized for creative design workflows | |
| - High-quality visual content generation | |
| - Designed for integration within the Fycera ecosystem | |
| ## Documentation | |
| This public repository intentionally excludes implementation details, training methodology, and underlying model information. | |
| Technical documentation, training notes, and architecture details are maintained separately in private internal documentation. |