Instructions to use AlanB/TransformersStyle with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use AlanB/TransformersStyle with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("runwayml/stable-diffusion-v1-5", torch_dtype=torch.bfloat16, device_map="cuda") pipe.load_lora_weights("AlanB/TransformersStyle") prompt = "UNICODE\u0000\u0000<\u0000l\u0000o\u0000r\u0000a\u0000:\u0000T\u0000r\u0000a\u0000n\u0000s\u0000f\u0000o\u0000r\u0000m\u0000e\u0000r\u0000s\u0000S\u0000t\u0000y\u0000l\u0000e\u0000:\u00001\u0000.\u00000\u0000>\u0000 \u0000T\u0000r\u0000a\u0000n\u0000s\u0000f\u0000o\u0000r\u0000m\u0000e\u0000r\u0000s\u0000S\u0000t\u0000y\u0000l\u0000e\u0000 \u0000L\u0000i\u0000g\u0000h\u0000t\u0000_\u0000p\u0000i\u0000n\u0000k\u0000,\u0000 \u0000G\u0000r\u0000e\u0000e\u0000n\u0000,\u0000 \u0000b\u0000e\u0000e\u0000t\u0000l\u0000e\u0000 \u0000<\u0000l\u0000o\u0000r\u0000a\u0000:\u0000L\u0000o\u0000w\u0000R\u0000a\u0000:\u00000\u0000.\u00003\u0000>\u0000 \u0000<\u0000l\u0000o\u0000r\u0000a\u0000:\u0000a\u0000d\u0000d\u0000_\u0000d\u0000e\u0000t\u0000a\u0000i\u0000l\u0000:\u00000\u0000.\u00005\u0000>\u0000" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
| tags: | |
| - text-to-image | |
| - stable-diffusion | |
| - lora | |
| - diffusers | |
| - template:sd-lora | |
| widget: | |
| - text: "UNICODE\0\0<\0l\0o\0r\0a\0:\0T\0r\0a\0n\0s\0f\0o\0r\0m\0e\0r\0s\0S\0t\0y\0l\0e\0:\01\0.\00\0>\0 \0T\0r\0a\0n\0s\0f\0o\0r\0m\0e\0r\0s\0S\0t\0y\0l\0e\0 \0L\0i\0g\0h\0t\0_\0p\0i\0n\0k\0,\0 \0G\0r\0e\0e\0n\0,\0 \0b\0e\0e\0t\0l\0e\0 \0<\0l\0o\0r\0a\0:\0L\0o\0w\0R\0a\0:\00\0.\03\0>\0 \0<\0l\0o\0r\0a\0:\0a\0d\0d\0_\0d\0e\0t\0a\0i\0l\0:\00\0.\05\0>\0" | |
| output: | |
| url: images/2023-11-29 - 02.18.28.jpeg | |
| base_model: runwayml/stable-diffusion-v1-5 | |
| instance_prompt: TransformersStyle | |
| license: apache-2.0 | |
| # Transformers Style LoRA 1.5 | |
| <Gallery /> | |
| ## Model description | |
| Legends say that a transformer started this whole thing. | |
| Copied from https://civitai.com/models/216460/transformers-style-autobots-transform-and-roll-out | |
| This model supports multiple colors. | |
| Try prompting for multiple colors in the prompt, and you're likely to get a good mix of them in the subject. | |
| Usage | |
| Use the trigger word: "TransformersStyle" along with the LoRA to activate it. | |
| Example prompt: TransformersStyle blue, red, white, blender<lora:TransformersStyle:0.8> | |
| I've found that most settings work well with this model. No special samplers or CFG-scale. | |
| Tips & Tricks | |
| Here is a list of words that can enhance the quality of your prompts when it comes to a style like this: | |
| mechanical | |
| technical | |
| hi-tech | |
| sci-fi | |
| I may be using the following extensions in the reference images: FreeU or ADetailer / Face Editor. I may also be using a specific Hires Checkpoint (swaps to another model when doing the hires steps). If your results don't match mine exactly, this may explain why. | |
| Training Data included | |
| Like it? | |
| https://ko-fi.com/mnemic | |
| https://www.buymeacoffee.com/mnemic | |
| ## Trigger words | |
| You should use `TransformersStyle` to trigger the image generation. | |
| ## Download model | |
| Weights for this model are available in Safetensors format. | |
| [Download](/AlanB/TransformersStyle/tree/main) them in the Files & versions tab. | |