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---
license: other
license_name: bespoke-lora-trained-license
license_link: https://multimodal.art/civitai-licenses?allowNoCredit=True&allowCommercialUse=RentCivit&allowDerivatives=False&allowDifferentLicense=True
tags:
- text-to-image
- stable-diffusion
- lora
- diffusers
- template:sd-lora
- migrated
- woman
- celebrity
- realistic
base_model: runwayml/stable-diffusion-v1-5
instance_prompt: emma2009 woman
widget:
- text: 'Photograph of emma2009 woman, in hogwarts, wearing hogwarts school uniform. '
parameters:
negative_prompt: (bad quality, sketch, drawing, render, cgi, malformed, bad anatomy)
output:
url: >-
8886555.jpeg
- text: 'Photograph of emma2009 woman, outdoors, on a warm summer evening. '
parameters:
negative_prompt: (bad quality, sketch, drawing, render, cgi, malformed, bad anatomy)
output:
url: >-
8886554.jpeg
- text: 'Photograph of emma2009 woman, in a space ship, atmospheric dark. '
parameters:
negative_prompt: (bad quality, sketch, drawing, render, cgi, malformed, bad anatomy)
output:
url: >-
8886556.jpeg
- text: 'Photograph of emma2009 woman, hiking outdoors in canada, warm spring day. '
parameters:
negative_prompt: (bad quality, sketch, drawing, render, cgi, malformed, bad anatomy)
output:
url: >-
8886558.jpeg
- text: 'Photograph of emma2009 woman, wearing black glasses, (twintails:1.3), freckles. '
parameters:
negative_prompt: (bad quality, sketch, drawing, render, cgi, malformed, bad anatomy)
output:
url: >-
8886557.jpeg
- text: 'Photograph of emma2009 woman, in a fantasy time period, wearing a (fantasy robe), ornamented, heroic. '
parameters:
negative_prompt: (bad quality, sketch, drawing, render, cgi, malformed, bad anatomy)
output:
url: >-
8886559.jpeg
- text: 'Photograph of emma2009 woman, in a fantasy time period, wearing a crystal (armor, crystal4rmor). '
parameters:
negative_prompt: (bad quality, sketch, drawing, render, cgi, malformed, bad anatomy)
output:
url: >-
8886560.jpeg
---
# Emma Watson 2009-2010
<Gallery />
([CivitAI](https://civitai.com/models/))
## Model description
<p>Use <strong>-Realvis</strong> versions together with <strong>RealisticVision 5.1</strong> for replicable results.</p><p></p><p><u>Suggested weights</u><br />Weight: 0.6 - 0.7<br /><br />Bleeds quite a bit into the model.<br /><br />Was trained on an internal model so you wont get the exact crisp results as in the promotion images.<br /><br />Models like <strong>cyberrealistic</strong>, <strong>realisticVision</strong> and <strong>photoMovie</strong> tend to come close with the original LoRA. Otherwise use the -RealVis version.</p>
## Trigger words
You should use `emma2009 woman` to trigger the image generation.
## Download model
Weights for this model are available in Safetensors format.
[Download](/Keltezaa/emma-watson-2009-2010/tree/main) them in the Files & versions tab.
## Use it with the [🧨 diffusers library](https://github.com/huggingface/diffusers)
```py
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](https://huggingface.co/docs/diffusers/main/en/using-diffusers/loading_adapters)
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