Keltezaa/emma-watson-2009-2010

Emma Watson 2009-2010

Prompt

Photograph of emma2009 woman, in hogwarts, wearing hogwarts school uniform.

Negative Prompt

(bad quality, sketch, drawing, render, cgi, malformed, bad anatomy)

Prompt

Photograph of emma2009 woman, outdoors, on a warm summer evening.

Negative Prompt

(bad quality, sketch, drawing, render, cgi, malformed, bad anatomy)

Prompt

Photograph of emma2009 woman, in a space ship, atmospheric dark.

Negative Prompt

(bad quality, sketch, drawing, render, cgi, malformed, bad anatomy)

Prompt

Photograph of emma2009 woman, hiking outdoors in canada, warm spring day.

Negative Prompt

(bad quality, sketch, drawing, render, cgi, malformed, bad anatomy)

Prompt

Photograph of emma2009 woman, wearing black glasses, (twintails:1.3), freckles.

Negative Prompt

(bad quality, sketch, drawing, render, cgi, malformed, bad anatomy)

Prompt

Photograph of emma2009 woman, in a fantasy time period, wearing a (fantasy robe), ornamented, heroic.

Negative Prompt

(bad quality, sketch, drawing, render, cgi, malformed, bad anatomy)

Prompt

Photograph of emma2009 woman, in a fantasy time period, wearing a crystal (armor, crystal4rmor).

Negative Prompt

(bad quality, sketch, drawing, render, cgi, malformed, bad anatomy)

(CivitAI)

Model description

Use -Realvis versions together with RealisticVision 5.1 for replicable results.

Suggested weights
Weight: 0.6 - 0.7

Bleeds quite a bit into the model.

Was trained on an internal model so you wont get the exact crisp results as in the promotion images.

Models like cyberrealistic, realisticVision and photoMovie tend to come close with the original LoRA. Otherwise use the -RealVis version.

Trigger words

You should use emma2009 woman to trigger the image generation.

Download model

Weights for this model are available in Safetensors format.

Download them in the Files & versions tab.

Use it with the 🧨 diffusers library

from diffusers import AutoPipelineForText2Image
import torch

device = "cuda" if torch.cuda.is_available() else "cpu"

pipeline = AutoPipelineForText2Image.from_pretrained('runwayml/stable-diffusion-v1-5', torch_dtype=torch.float16).to(device)
pipeline.load_lora_weights('Keltezaa/emma-watson-2009-2010', weight_name='EmmaWatson09-10_v1.0.1b.safetensors')
image = pipeline('Photograph of emma2009 woman, in a fantasy time period, wearing a crystal (armor, crystal4rmor).  ').images[0]

For more details, including weighting, merging and fusing LoRAs, check the documentation on loading LoRAs in diffusers