Initial model card

README.md

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+---
+license: wtfpl
+base_model: black-forest-labs/FLUX.1-dev
+pipeline_tag: text-to-image
+tags:
+  - text-to-image
+  - lora
+  - diffusers
+  - template:diffusion-lora
+  - flux
+  - flowmatch
+  - stationthis
+widget:
+  - text: "maccinft"
+    output:
+      url: samples/sample_000.jpg
+instance_prompt: "maccinft"
+training_steps: 4000
+network_type: lora
+library_name: ai-toolkit
+---
+
+# maccinft
+
+The maccinft LoRA model enables the generation of images in a unique custom style, characterized by vibrant colors and intricate detail. This model is ideal for artists and creators looking to infuse their work with a distinctive visual flair.
+
+**Trigger word:** `maccinft`
+
+## Sample Outputs
+
+| | |
+|:---:|:---:|
+| ![Sample 1](samples/sample_000.jpg) | ![Sample 2](samples/sample_001.jpg) |
+| *Sample 1* | *Sample 2* |
+| ![Sample 3](samples/sample_002.jpg) | ![Sample 4](samples/sample_003.jpg) |
+| *Sample 3* | *Sample 4* |
+
+## Usage
+
+### ComfyUI
+
+1. Download the `.safetensors` file from the Files tab
+2. Place in `ComfyUI/models/loras/`
+3. Use the **Load LoRA** node with strength `0.8-1.0`
+4. Include `maccinft` in your prompt
+
+### Diffusers
+
+```python
+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/maccinft")
+pipe.to("cuda")
+
+image = pipe(
+    prompt="maccinft 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
+
+- `maccinft portrait, soft lighting, detailed`
+- `maccinft in a scenic environment`
+
+## Training Details
+
+- **Base model:** black-forest-labs/FLUX.1-dev
+- **Training steps:** 4000
+- **Trigger word:** `maccinft`
+- **Network:** LoRA rank 32, alpha 32
+- **Optimizer:** adamw8bit, lr 1e-4
+- **Precision:** float16
+- **Resolution:** 512, 768, 1024 (multi-res bucketed)
+
+## About
+
+Trained using [StationThis](https://miladystation2.net) — an AI creative platform powered by $MS2. Train your own LoRAs via [@stationthisbot](https://t.me/stationthisbot) on Telegram.
+
+---
+
+<sub>Generated by StationThis Training Pipeline</sub>