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Jersonm89
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SD2.1_Avatar

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Diffusers
StableDiffusionPipeline
stable-diffusion
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Diffusers library
# Gated model: Login with a HF token with gated access permission
hf auth login
pip install -U diffusers transformers accelerate
import torch
from diffusers import DiffusionPipeline

# switch to "mps" for apple devices
pipe = DiffusionPipeline.from_pretrained("Jersonm89/SD2.1_Avatar", dtype=torch.bfloat16, device_map="cuda")

prompt = "Astronaut in a jungle, cold color palette, muted colors, detailed, 8k"
image = pipe(prompt).images[0]

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Update of James Cameron's Avatar Movie Model, with Stable Diffusion 2.1. This model can generate the faces of the people indicated in the prompt with avatar features.

Sample images Will Smith: prompt= photorealistic headshot of Will Smith, avatar style

output Samples v3

Sample images Angelina Jolie: prompt= photorealistic headshot of Angelina Jolie, avatar style

output Samples v3

Sample images Mila Kunis: prompt= photorealistic headshot of Mila Kunis, avatar style

output Samples v3

Sample images Jenna Ortega: prompt= photorealistic headshot of Jenna Ortega, avatar style

output Samples v3

A standard negative prompt was used Negative Prompt: blender, cropped, lowres, poorly drawn face, out of frame, poorly drawn hands, blurry, bad art, blurred, text, watermark, disfigured, deformed, closed eyes : -2

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