Text-to-Image
Diffusers
Safetensors
English
StableDiffusionXLPipeline
diffusion
image-generation
generative-ai
Leechanrx
LeeChan-Studio
Instructions to use LeeChanRX/LeeChan-Studio with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use LeeChanRX/LeeChan-Studio with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("LeeChanRX/LeeChan-Studio", dtype=torch.bfloat16, device_map="cuda") prompt = "Astronaut in a jungle, cold color palette, muted colors, detailed, 8k" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
| language: | |
| - en | |
| license: apache-2.0 | |
| pipeline_tag: text-to-image | |
| tags: | |
| - text-to-image | |
| - diffusion | |
| - image-generation | |
| - generative-ai | |
| - Leechanrx | |
| - LeeChan-Studio | |
| # LeeChan-Studio | |
| LeeChan-Studio is a text-to-image foundation model designed to generate high-quality images from natural language prompts. It supports a wide range of creative tasks, including photorealistic imagery, digital art, illustrations, concept art, and stylized generations. | |
| > Developed by **LeeChanRX** | |
| ## Model Description | |
| **Model Type:** Text-to-Image Diffusion Model | |
| **Developer:** LeeChanRX | |
| **Task:** Image Generation from Text Prompts | |
| **Language:** English (best results), multilingual prompts may work with varying quality. | |
| ### Capabilities | |
| - High-quality image generation | |
| - Strong prompt understanding | |
| - Photorealistic outputs | |
| - Digital and concept artwork | |
| - Anime and stylized illustrations | |
| - Creative scene composition | |
| ## Usage | |
| ### Diffusers | |
| ```python | |
| from diffusers import DiffusionPipeline | |
| import torch | |
| pipe = DiffusionPipeline.from_pretrained( | |
| "LeeChanRX/LeeChan-Studio", | |
| torch_dtype=torch.float16 | |
| ) | |
| pipe.to("cuda") | |
| image = pipe( | |
| "A futuristic city floating above the clouds at sunset" | |
| ).images[0] | |
| image.save("output.png") | |
| ``` | |
| ## Example Prompts | |
| ### Photorealistic | |
| > A cinematic portrait of a woman standing in Tokyo at night, ultra realistic, detailed skin, professional photography | |
| ### Fantasy | |
| > An ancient dragon flying above floating islands, epic fantasy art, volumetric lighting, masterpiece | |
| ### Sci-Fi | |
| > Futuristic cyberpunk city skyline at sunset, neon lights, highly detailed concept art | |
| ### Anime | |
| > Anime girl under cherry blossom trees, vibrant colors, detailed background, masterpiece | |
| ## Recommended Settings | |
| | Parameter | Value | | |
| |------------|---------| | |
| | Inference Steps | 25–50 | | |
| | CFG Scale | 5–8 | | |
| | Resolution | 1024×1024 | | |
| | Seed | Optional | | |
| ## Intended Uses | |
| - Creative image generation | |
| - Concept art creation | |
| - Research and experimentation | |
| - Educational projects | |
| - Content prototyping | |
| ## Limitations | |
| - Text generation inside images may be inaccurate. | |
| - Complex prompts can produce inconsistent results. | |
| - Output quality depends on prompt design and generation settings. | |
| ## Ethical Considerations | |
| Users are responsible for ensuring generated content complies with applicable laws, regulations, and platform policies. The model should not be used to generate harmful, deceptive, or illegal content. | |
| ## License | |
| Released under the Apache-2.0 License. | |
| ## Acknowledgements | |
| Created and maintained by **LeeChanRX**. | |
| ## Citation | |
| ```bibtex | |
| @misc{leechanstudio2026, | |
| title={LeeChan-Studio}, | |
| author={LeeChanRX}, | |
| year={2026}, | |
| publisher={Hugging Face} | |
| } | |
| ``` |