metadata

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:

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.

Creator: Photographer

Civitai Page: https://civitai.com/models/84728

You can use this with the 🧨Diffusers library

Diffusers

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")