Instructions to use ms2stationthis/ru_neo with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use ms2stationthis/ru_neo 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("ms2stationthis/ru_neo") prompt = "Astronaut in a jungle, cold color palette, muted colors, detailed, 8k" image = pipe(prompt).images[0] - Inference
- Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
ru_neo
Trigger word: ru_neo
Sample Outputs
Usage
ComfyUI
- Download the
.safetensorsfile from the Files tab - Place in
ComfyUI/models/loras/ - Use the Load LoRA node with strength
0.8-1.0 - Include
ru_neoin your prompt
Diffusers
import torch
from diffusers import FluxPipeline
pipe = FluxPipeline.from_pretrained(
"black-forest-labs/FLUX.1-dev",
torch_dtype=torch.bfloat16
)
pipe.load_lora_weights("ms2stationthis/ru_neo")
pipe.to("cuda")
image = pipe(
prompt="ru_neo portrait, soft lighting, detailed",
guidance_scale=3.5-4.0,
num_inference_steps=20-30,
generator=torch.Generator("cuda").manual_seed(42)
).images[0]
image.save("output.png")
Recommended Settings
| Parameter | Value |
|---|---|
| LoRA Strength | 0.8-1.0 |
| Guidance Scale | 3.5-4.0 |
| Inference Steps | 20-30 |
| Resolution | 1024x1024 |
Example Prompts
ru_neo this digital drawing features a ru_neo styleru_neo with a stylizedru_neo cartoonish character with a largeru_neo star-shaped head
Training Details
- Base model: black-forest-labs/FLUX.1-dev
- Training steps: 4000
- Trigger word:
ru_neo - Resolution: 512, 768, 1024 (multi-res)
- Network: LoRA rank 16
About
Trained using StationThis — an AI creative platform powered by $MS2. Train your own LoRAs via @stationthisbot on Telegram.
Generated by StationThis Training Pipeline
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Model tree for ms2stationthis/ru_neo
Base model
black-forest-labs/FLUX.1-dev


