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Hyper-v2

Text-to-Image
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Hyper-v2 / README.md
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Model Hyper-v2 from civitai
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metadata
license: creativeml-openrail-m
library_name: diffusers
tags:
  - Safetensors
  - stable-diffusion
  - stable-diffusion-diffusers
  - text-to-image
pipeline_tag: text-to-image

Hyper

v2

Generated Sample

Description:

-Better faces, eyes, teeth, hands, lighting, prompt creativity and complexity.... Pretty much a massive improvement over v1 in all areas.

I mainly focussed on added prompt creativity, anatomy, and how well it does faces at a distance.

Creator: Reiver_

Civitai Page: https://civitai.com/models/32027

You can use this with the 🧨Diffusers library

Diffusers 

from diffusers import StableDiffusionPipeline
import torch

model_id = "sam749/Hyper-v2"
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")