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
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]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.
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