Text-to-Image
Diffusers
TensorBoard
stable-diffusion-xl
stable-diffusion-xl-diffusers
lora
template:sd-lora
Instructions to use Chan-Y/reddish with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Chan-Y/reddish with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("stabilityai/stable-diffusion-xl-base-1.0", dtype=torch.bfloat16, device_map="cuda") pipe.load_lora_weights("Chan-Y/reddish") prompt = "in the style of reddish" image = pipe(prompt).images[0] - Inference
- Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
| tags: | |
| - stable-diffusion-xl | |
| - stable-diffusion-xl-diffusers | |
| - text-to-image | |
| - diffusers | |
| - lora | |
| - template:sd-lora | |
| widget: | |
| - text: in the style of reddish | |
| output: | |
| url: 000.png | |
| - text: Face closeup, Beautiful young woman | |
| output: | |
| url: 001.png | |
| - text: a woman with sunglasses | |
| output: | |
| url: 002.png | |
| - text: a girl | |
| output: | |
| url: 003.png | |
| base_model: stabilityai/stable-diffusion-xl-base-1.0 | |
| instance_prompt: in the style of reddish | |
| license: openrail++ | |
| datasets: | |
| - Chan-Y/reddish | |
| # SDXL LoRA DreamBooth - reddish | |
| <Gallery /> | |
| ## Model description | |
| - **Model Name:** Reddish | |
| - **Model Type:** LoRA (Low-Rank Adaptation) | |
| - **Model Version:** 1.0 | |
| - **Author:** [M.Cihan Yalçın](https://www.linkedin.com/in/chanyalcin/) | |
| ## Download model | |
| ### Use it with UIs such as AUTOMATIC1111, Comfy UI, SD.Next, Invoke | |
| - **LoRA**: download **[`reddish.safetensors` here 💾](/reddish/blob/main/reddish.safetensors)**. | |
| - Place it on your `models/Lora` folder. | |
| - On AUTOMATIC1111, load the LoRA by adding `<lora:reddish:1>` to your prompt. On ComfyUI just [load it as a regular LoRA](https://comfyanonymous.github.io/ComfyUI_examples/lora/). | |
| ## Use it with the [🧨 diffusers library](https://github.com/huggingface/diffusers) | |
| ```py | |
| from diffusers import AutoPipelineForText2Image | |
| import torch | |
| pipeline = AutoPipelineForText2Image.from_pretrained('stabilityai/stable-diffusion-xl-base-1.0', torch_dtype=torch.float16).to('cuda') | |
| pipeline.load_lora_weights('reddish', weight_name='pytorch_lora_weights.safetensors') | |
| image = pipeline('in the style of reddish').images[0] | |
| ``` | |
| For more details, including weighting, merging and fusing LoRAs, check the [documentation on loading LoRAs in diffusers](https://huggingface.co/docs/diffusers/main/en/using-diffusers/loading_adapters) | |
| ## Performance | |
| The Reddish model excels in producing images with the following characteristics: | |
| * **High-Quality Faces:** Detailed and realistic facial features. | |
| * **Reddish Style:** Warm tones with a focus on elegance and beauty. | |
| * **Artistic Elements:** Incorporates creative and artistic elements such as lighting effects and detailed accessories. | |
| ## Trigger words | |
| You should use **in the style of reddish** to trigger the image generation. | |
| ## Details | |
| All [Files & versions](/reddish/tree/main). | |
| The weights were trained using [🧨 diffusers Advanced Dreambooth Training Script](https://github.com/huggingface/diffusers/blob/main/examples/advanced_diffusion_training/train_dreambooth_lora_sdxl_advanced.py). | |
| LoRA for the text encoder was enabled: True. | |
| Pivotal tuning was enabled: False. | |
| Special VAE used for training: madebyollin/sdxl-vae-fp16-fix. |