Instructions to use ms2stationthis/heliophilia with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use ms2stationthis/heliophilia 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/heliophilia") prompt = "heliophilia, This is a digital anime-\"\" illustration of a young girl with closed eyes, blushing cheeks, and a serene expression. She has straight, dark blue hair with bangs and a black hairpin on the right side. She wears a purple and green diamond-patterned sweater and a simple pearl necklace. The background features a gradient of purple hues with light streaks, giving a soft, dreamy atmosphere. The texture of the background is slightly grainy, adding depth. The girl's skin is fair, and her overall appearance is cute and gentle. The image focuses on her upper body and head, capturing a peaceful, contemplative moment." image = pipe(prompt).images[0] - Inference
- Notebooks
- Google Colab
- Kaggle
heliophilia
The heliophilia LoRA generates digital anime-style illustrations featuring characters with serene expressions, blushing cheeks, and distinctive hairstyles. This model emphasizes vibrant colors and intricate clothing patterns, such as a purple and green diamond-patterned sweater, enhancing the overall aesthetic appeal.
Trigger word: heliophilia
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
heliophiliain 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/heliophilia")
pipe.to("cuda")
image = pipe(
prompt="heliophilia 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
heliophilia blushing cheeksheliophilia and a serene expression. she has straightheliophilia giving a softheliophilia adding depth. the girl's skin is fair
Training Details
- Base model: black-forest-labs/FLUX.1-dev
- Training steps: 4000
- Trigger word:
heliophilia - Network: LoRA rank 32, alpha 32
- Optimizer: adamw8bit, lr 1e-4
- Precision: float16
- Resolution: 512, 768, 1024 (multi-res bucketed)
About
Trained using StationThis — an AI creative platform powered by $MS2. Train your own LoRAs via @stationthisbot on Telegram.
Generated by StationThis Training Pipeline
Model tree for ms2stationthis/heliophilia
Base model
black-forest-labs/FLUX.1-dev


