| license: creativeml-openrail-m | |
| library_name: diffusers | |
| tags: | |
| - Safetensors | |
| - stable-diffusion | |
| - stable-diffusion-diffusers | |
| - text-to-image | |
| pipeline_tag: text-to-image | |
| # Photon | |
| ## v1 | |
|  | |
| ### Description: | |
| > <p>This is the initial release focused on achieving photorealistic results. However, please note that the model's hands generation may have some limitations at this stage, and I'm actively exploring training techniques to enhance it.</p> | |
| ### Creator: Photographer | |
| ### Civitai Page: https://civitai.com/models/84728 | |
| You can use this with the [🧨Diffusers library](https://github.com/huggingface/diffusers) | |
| ### Diffusers | |
| ```py | |
| from diffusers import StableDiffusionPipeline | |
| import torch | |
| model_id = "sam749/Photon-v1" | |
| pipe = StableDiffusionPipeline.from_pretrained(model_id, torch_dtype=torch.float16) | |
| pipe = pipe.to("cuda") | |
| prompt = "masterpiece, best quality, 1girl, (colorful),(delicate eyes and face), volumatic light, ray tracing, bust shot ,extremely detailed CG unity 8k wallpaper,solo,smile" | |
| image = pipe(prompt).images[0] | |
| image.save("result.png") | |
| ``` | |