---
title: fibo_game
canonical_url: "https://www.modelscope.ai/models/if0_38048495/fibo_game"
md_url: "https://www.modelscope.ai/models/if0_38048495/fibo_game.md"
repository: if0_38048495/fibo_game
last_updated: 2026-11-05
license: "Apache License 2.0"
pipeline_tag: text-to-image-synthesis
tasks:
  - text-to-image-synthesis
base_model:
  - briaai/Fibo-2.0-dev
base_model_relation: adapter
parameters: 563.8M
tensor_type:
  - BF16
library_name:
  - pytorch
  - lora
  - safetensors
supports_inference: txt2img
downloads: 30
stars: 0
tags:
  - LoRA
  - text-to-image
---

# fibo_game

> fibo_game - An open-source model by if0_38048495 on ModelScope. This model is trained using the Civision/model training environment and computing resources provided by ModelScope.

if0_38048495/fibo_game is a 563.8M-parameter text-to-image-synthesis model on ModelScope. licensed under Apache License 2.0. derived from briaai/Fibo-2.0-dev. and supports online inference (txt2img).

- **Repository**: if0_38048495/fibo_game
- **License**: Apache License 2.0
- **Tasks**: text-to-image-synthesis
- **Parameters**: 563.8M
- **Base model**: briaai/Fibo-2.0-dev
- **Online inference**: txt2img
- **Tags**: LoRA, text-to-image
- **Downloads**: 30
- **Stars**: 0
- **Last updated**: 2026-11-05

Source: https://www.modelscope.ai/models/if0_38048495/fibo_game

---

# 

## Model Introduction

This model is trained using the [Civision/model training](https://modelscope.ai/civision/modelTraining) environment and computing resources provided by ModelScope.

* Model Type: LoRA
* Base Model: [briaai/Fibo-2.0-dev](https://modelscope.ai/models/briaai/Fibo-2.0-dev)
* Training Code: [DiffSynth-Studio](https://github.com/modelscope/DiffSynth-Studio)
* Data amount：71
* Total training steps：10000
* License: Apache-2.0

## Inference Code

Install [DiffSynth-Studio](https://github.com/modelscope/DiffSynth-Studio):

```bash
pip install diffsynth
```

Inference:

```python
import torch
from diffsynth.pipelines.fibo import FiboPipeline, ModelConfig

pipe = FiboPipeline.from_pretrained(
    torch_dtype=torch.bfloat16,
    device="cuda",
    model_configs=[
        ModelConfig(model_id="briaai/Fibo-2.0-dev", origin_file_pattern="transformer/*.safetensors"),
        ModelConfig(model_id="briaai/Fibo-2.0-dev", origin_file_pattern="text_encoder/model.safetensors"),
        ModelConfig(model_id="briaai/Fibo-2.0-dev", origin_file_pattern="vae/diffusion_pytorch_model.safetensors"),
    ],
    processor_config=ModelConfig(model_id="briaai/Fibo-2.0-dev", origin_file_pattern="processor/"),
    font_config=ModelConfig(model_id="briaai/Fibo-2.0-dev", origin_file_pattern="fonts/"),
)
pipe.load_lora(pipe.dit, ModelConfig(model_id="if0_38048495/fibo_game", origin_file_pattern="fibo_game_c1-st10000.safetensors"))

prompt = "a cat"
image = pipe(prompt=prompt, height=1024, width=1024, seed=0, num_inference_steps=50, cfg_scale=5.0)
image.save("image.png")
```