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replace subject flux2
replace subject flux2
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KleinBase9B_ReplaceSubject.safetensors
79 MB · SafeTensor · bf16
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Über dieses Modell
FLUX 2 / KLEIN · LoRAs
Erstellt von
ReltivlyObjectv
auf Civitai
by ReltivlyObjectv - Replace Subject [Klein 4B & 9B]
Notizen des Erstellers
Allows you to replace a subject in the first control image with a subject in the second control image. The model will skew towards preserving existing details if the secondary control image does not include the relevant details and the prompt leaves them unspecified. For example, if you are using a head/torso image as the new subject, but the original image was zoomed out more and the person being replaced has jeans, the new person will also be wearing jeans unless you specify otherwise. For best results, try to have comparable framing, camera angle, and number of subjects in both images. replace the person in Image 1 with the person in Image 2 replace the man in Image 1 with the man in Image 2 replace the woman in Image 1 with the woman in Image 2 Model Comparisons: - will preserve the subject and background in Control 1, while bringing the framing/pose of Control 2 - will preserve the framing/pose and background in Control 1, while bringing the subject of Control 2 - will preserve the subject and pose in Control 1, while bringing the background scene of Control 2 California AB 2013 Training Data Disclosure - This LoRA was fine-tuned using visual data consisting entirely of synthetic still images. The training data may include copyrighted material owned by third parties. No training data was licensed or purchased. This LoRA is provided for non-commercial use only under the terms of its distribution. - The dataset consists of over 100 image sets (over 300 images total). This is the total used for training after low quality sets were culled. Dataset was created in 2026. - Image data was processed through standard resizing, cropping, normalization, and labeling steps. Synthetic images were included as part of the training dataset. - This model is intended for non-commercial, experimental, and educational use. Generated outputs may reflect copyrighted visual styles or themes associated with the underlying training data. Users are responsible for ensuring compliance with applicable copyright law, other intellectual property laws, and all other applicable laws.
Triggerwörter
replace the person in Image 1 with the person in Image 2
replace the man in Image 1 with the man in Image 2
replace the woman in Image 1 with the woman in Image 2
2,221 Downloads · 150 Likes auf Civitai
SHA256
0FD02736097F1570DA1EA0C0D8E5E584E77E2B0202EB7A8880629D3373850080
ModelTrends.ai-Modell-ID
#25229
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Beispielbilder
Prompts und Einstellungen, geteilt von den Leuten, die diese Bilder auf Civitai erstellt haben. Wähle ein Bild, um zu sehen, wie es entstanden ist.
Einstellungen
Sampler
Euler a
Seed
1054502373254237
Größe
928x1120
Prompt
replace the man on the right in Image 1 with creature in Image 2. preserve the pitchfork, the creature is holding the pitchfork.
Einstellungen
Sampler
Euler
Seed
19467227133499
Größe
832x1264
Prompt
replace the woman in Image 1 with creature in Image 2.
Einstellungen
Sampler
Euler
Größe
1844x2868
Prompt
replace the woman in Image 1 with the woman in Image 2
Einstellungen
Sampler
Euler
Größe
2148x3172
Prompt
replace the woman in Image 1 with the woman in Image 2
Einstellungen
Sampler
Euler
Größe
1049x1988
Prompt
replace the woman in Image 1 with the woman in Image 2
Einstellungen
Sampler
Euler
Größe
1852x2876
Prompt
replace the woman in Image 1 with the woman in Image 2
Badges for creators
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replace subject on ModelTrends.ai: #35 of 703 Flux 2 / Klein models
replace subject on ModelTrends.ai: #34 of 694 Flux 2 / Klein LoRAs
KI-Modelle für Bild-, Video- und Texterzeugung
replace subject flux2 ist ein LoRA für die Familie Flux 2 / Klein und wird auf ModelTrends.ai gelistet, einem reinen Lesekatalog für Open-Source-KI-Modelle für Bild, Video und Text. Vergleiche es mit anderen Flux 2 / Klein-Modellen, prüfe den Hitzewert, um den Trend zu sehen, und öffne es auf PirateDiffusion oder BitVector, um es auszuprobieren.
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