Total runs:
68.3K
Run Growth:
0
Growth Rate:
0.00%
Sponsored by
PoYo.AI
Keltezaa / emma-watson-2009-2010
Model's Last Updated: October 25 2024
text-to-image
Introduction of emma-watson-2009-2010
Model Details of 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
Runs of Keltezaa emma-watson-2009-2010 on huggingface.co
268
Total runs
10
24-hour runs
9
3-day runs
115
7-day runs
103
30-day runs
More Information About emma-watson-2009-2010 huggingface.co Model
Url of emma-watson-2009-2010
emma-watson-2009-2010 huggingface.co Url
Provider of emma-watson-2009-2010 huggingface.co
Other API from Keltezaa
Updated:November 24 2024
Total runs:
6.5K
Run Growth:
3.3K
Growth Rate:
51.48%
Total runs:
2.3K
Run Growth:
186
Growth Rate:
8.00%
Total runs:
1.9K
Run Growth:
1.5K
Growth Rate:
80.45%
Total runs:
1.7K
Run Growth:
58
Growth Rate:
3.33%
Total runs:
1.7K
Run Growth:
0
Growth Rate:
0.00%
Total runs:
1.5K
Run Growth:
1.3K
Growth Rate:
87.13%
Total runs:
1.5K
Run Growth:
0
Growth Rate:
0.00%
Total runs:
1.3K
Run Growth:
548
Growth Rate:
42.58%
Total runs:
945
Run Growth:
236
Growth Rate:
24.97%
Total runs:
878
Run Growth:
585
Growth Rate:
66.63%
Total runs:
724
Run Growth:
113
Growth Rate:
15.61%
Total runs:
692
Run Growth:
-68
Growth Rate:
-9.83%
Total runs:
657
Run Growth:
0
Growth Rate:
0.00%
Total runs:
520
Run Growth:
241
Growth Rate:
45.30%
Total runs:
468
Run Growth:
437
Growth Rate:
93.38%
Total runs:
355
Run Growth:
-13
Growth Rate:
-3.66%
Total runs:
269
Run Growth:
96
Growth Rate:
36.09%
Total runs:
266
Run Growth:
0
Growth Rate:
0.00%
Total runs:
264
Run Growth:
-152
Growth Rate:
-55.07%
Total runs:
225
Run Growth:
-416
Growth Rate:
-184.89%
Total runs:
219
Run Growth:
158
Growth Rate:
72.15%
Total runs:
218
Run Growth:
-8
Growth Rate:
-4.06%
Total runs:
216
Run Growth:
146
Growth Rate:
68.87%
Total runs:
214
Run Growth:
59
Growth Rate:
27.57%
Total runs:
207
Run Growth:
128
Growth Rate:
61.84%
Total runs:
201
Run Growth:
98
Growth Rate:
48.28%
Total runs:
198
Run Growth:
0
Growth Rate:
0.00%
Total runs:
196
Run Growth:
113
Growth Rate:
59.79%
Total runs:
194
Run Growth:
84
Growth Rate:
46.15%
Total runs:
181
Run Growth:
44
Growth Rate:
24.31%
Total runs:
177
Run Growth:
23
Growth Rate:
12.99%
Total runs:
158
Run Growth:
107
Growth Rate:
70.39%
Total runs:
147
Run Growth:
90
Growth Rate:
61.22%
Total runs:
147
Run Growth:
-104
Growth Rate:
-70.75%
Total runs:
129
Run Growth:
37
Growth Rate:
28.68%
Total runs:
126
Run Growth:
17
Growth Rate:
17.17%
Total runs:
124
Run Growth:
49
Growth Rate:
47.12%
Total runs:
121
Run Growth:
-579
Growth Rate:
-516.96%
Total runs:
118
Run Growth:
30
Growth Rate:
25.42%
Total runs:
117
Run Growth:
-327
Growth Rate:
-279.49%
Total runs:
112
Run Growth:
67
Growth Rate:
60.36%
Total runs:
108
Run Growth:
14
Growth Rate:
12.96%
Total runs:
102
Run Growth:
39
Growth Rate:
38.61%
Total runs:
97
Run Growth:
37
Growth Rate:
40.66%
Total runs:
94
Run Growth:
-133
Growth Rate:
-140.00%
Total runs:
92
Run Growth:
33
Growth Rate:
38.37%
Total runs:
90
Run Growth:
33
Growth Rate:
36.67%
Total runs:
88
Run Growth:
-11
Growth Rate:
-13.41%
Total runs:
86
Run Growth:
63
Growth Rate:
73.26%
Total runs:
81
Run Growth:
24
Growth Rate:
30.00%
Total runs:
78
Run Growth:
-88
Growth Rate:
-112.82%
Total runs:
76
Run Growth:
-80
Growth Rate:
-105.26%
Total runs:
71
Run Growth:
33
Growth Rate:
45.83%
Total runs:
71
Run Growth:
16
Growth Rate:
22.22%
Total runs:
70
Run Growth:
37
Growth Rate:
52.86%
Total runs:
70
Run Growth:
0
Growth Rate:
0.00%