# Turning a Painting into a Photo

## 1st Method: Uploading your painting

* [ ] Upload image to transform
* [ ] Send image to x-ray as well
* [ ] Set transformation strength
* [ ] Choose Model - For this Demo we used "MJ XL"
* [ ] Prompt
* [ ] Experiment with other transformation strength
* [ ] Send to Enhance for that extra "riz"

<figure><img src="https://2624966838-files.gitbook.io/~/files/v0/b/gitbook-x-prod.appspot.com/o/spaces%2FKcFb4ihnfBnfd0stkhMX%2Fuploads%2FsTmea53k0PATWE2bwFFE%2F41287-0-1724793445.jpg?alt=media&#x26;token=65d9a474-125c-476f-8fed-b99976b919f3" alt=""><figcaption><p>Original</p></figcaption></figure>

<figure><img src="https://2624966838-files.gitbook.io/~/files/v0/b/gitbook-x-prod.appspot.com/o/spaces%2FKcFb4ihnfBnfd0stkhMX%2Fuploads%2FqnpaWZpsZABmsmfCqnmM%2F68612-0-1729082204.png?alt=media&#x26;token=9e256f34-418f-46be-a3de-47a13cf61862" alt=""><figcaption><p>Beautiful, no?</p></figcaption></figure>

<figure><img src="https://2624966838-files.gitbook.io/~/files/v0/b/gitbook-x-prod.appspot.com/o/spaces%2FKcFb4ihnfBnfd0stkhMX%2Fuploads%2FzbDY2HYudAd9HuckmwxQ%2F41289-0-1724793434.jpg?alt=media&#x26;token=c7b4f59b-1d34-400e-90a4-4fa796aadadc" alt=""><figcaption><p>The preprocessed asset can still be re-purposed. See next image...</p></figcaption></figure>

<figure><img src="https://2624966838-files.gitbook.io/~/files/v0/b/gitbook-x-prod.appspot.com/o/spaces%2FKcFb4ihnfBnfd0stkhMX%2Fuploads%2FE5guNsLZOLqnBldSTNl8%2F41299-0-1724793666.jpg?alt=media&#x26;token=1fd1421a-a242-448b-b8fa-b1073b3ff115" alt=""><figcaption></figcaption></figure>

<figure><img src="https://2624966838-files.gitbook.io/~/files/v0/b/gitbook-x-prod.appspot.com/o/spaces%2FKcFb4ihnfBnfd0stkhMX%2Fuploads%2FgvRxKoN2p3KvvDSB5gES%2F41302-0-1724793692.jpg?alt=media&#x26;token=82902543-be32-485a-964b-8250a4d4dcbd" alt=""><figcaption><p>Prompt: "<em>Italian street, cobblestone, plants , orange and blue"</em></p></figcaption></figure>

## 2nd Method - Photify&#x20;

<figure><img src="https://2624966838-files.gitbook.io/~/files/v0/b/gitbook-x-prod.appspot.com/o/spaces%2FKcFb4ihnfBnfd0stkhMX%2Fuploads%2Fe32AIJDpzB0zihQvQPvL%2FWhatsApp%20Image%202024-09-14%20at%2015.16.01_6c3ac17c.jpg?alt=media&#x26;token=b5eec1e7-6b96-4b36-890c-71ca4e7f73d2" alt=""><figcaption><p>original<br><br><em>"Samurai riding a horse into battle. He has long unkempt hair, holding a halberd, wearing full armor. In the background there is an army running towards him."</em><br><br>Model: Arcana Pro Realism<br>Style: Hyperrealism<br></p></figcaption></figure>

Step 1: Send your conjured image to Transform by clicking transform button or by uploading inside Transform Suite.\
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Step 2: Set Transformation Strength to 48%\
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Step 3: Use the same prompt of the original image. It will automatically send the prompt when sending from within Conjure Suite. IF, you have uploaded an image then describe the image in the prompt bar.\
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Step 4: Select the model "Photographic Textures & Faces"\
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Step 5:  (optional) Use inpaint brush to select areas you don't want changed by highlighting it and selecting invert:

<figure><img src="https://2624966838-files.gitbook.io/~/files/v0/b/gitbook-x-prod.appspot.com/o/spaces%2FKcFb4ihnfBnfd0stkhMX%2Fuploads%2FdrbRZ94q3xk4gRWVOuY7%2FWhatsApp%20Image%202024-09-14%20at%2015.14.54_2061cc31.jpg?alt=media&#x26;token=e8079a87-7c72-44ce-b6fb-2b1fea02b0d0" alt=""><figcaption><p>(Optional step) Masking what I don't want "Photified" by masking and selecting invert. </p></figcaption></figure>

<div data-full-width="true"><figure><img src="https://2624966838-files.gitbook.io/~/files/v0/b/gitbook-x-prod.appspot.com/o/spaces%2FKcFb4ihnfBnfd0stkhMX%2Fuploads%2FGpaBkvzOOEebl8ukgFWu%2FWhatsApp%20Image%202024-09-14%20at%2015.14.55_b9116d40.jpg?alt=media&#x26;token=b0dfba27-26de-4a66-a33e-4730b1ca10c1" alt=""><figcaption><p>Overview of the entire workflow. Note the prompt, the model selected, the mask and the invert selection.</p></figcaption></figure></div>

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<div data-full-width="true"><figure><img src="https://2624966838-files.gitbook.io/~/files/v0/b/gitbook-x-prod.appspot.com/o/spaces%2FKcFb4ihnfBnfd0stkhMX%2Fuploads%2FZYJK0Zz2NyUU5V1iULMI%2FWhatsApp%20Image%202024-09-14%20at%2015.16.01_631af5b5.jpg?alt=media&#x26;token=6e6baf09-8d9c-4eae-a4b7-d53fe176812f" alt=""><figcaption><p>Original</p></figcaption></figure></div>

<div data-full-width="true"><figure><img src="https://2624966838-files.gitbook.io/~/files/v0/b/gitbook-x-prod.appspot.com/o/spaces%2FKcFb4ihnfBnfd0stkhMX%2Fuploads%2F38bKm6kKR7NS2oAVZ0dl%2Fareile%20result_Untitled.jpg?alt=media&#x26;token=89a543b0-c1c5-48a6-b48d-78b9a154cba0" alt=""><figcaption><p>Result</p></figcaption></figure></div>

## 3rd Method: X-Ray

<figure><img src="https://2624966838-files.gitbook.io/~/files/v0/b/gitbook-x-prod.appspot.com/o/spaces%2FKcFb4ihnfBnfd0stkhMX%2Fuploads%2Fn4LmZfumqJD1VBHRAISA%2FWhatsApp%20Image%202024-09-14%20at%2017.07.14_70da100e.jpg?alt=media&#x26;token=073e0858-0dea-4b2a-bf86-79903912c076" alt=""><figcaption><p>original<br><br>Prompt: <em>Video blogger, recording himself with a phone. Behind him is a swarm of pixies carrying miniature pitchforks. The setting is Times Square. In the background, there is panic and disorder</em>. <br>Model: Dall-E</p></figcaption></figure>

STEP 1:  Send your image to Transform\
STEP 2: Open X-Ray (Sharp or Ultrasharp) and upload the SAME image you sent to Transform\
STEP 3: (optional) Select inpaint, then invert and mask over the areas of the image you want to protect. Sometimes this is necessary. So you can iterate on the central face. \
STEP 4: Use MJ XL model.\
STEP 5: Before clicking TRANSFORM to generate the transformation set Transformation strength between 50-68%. For faster results,&#x20;

<figure><img src="https://2624966838-files.gitbook.io/~/files/v0/b/gitbook-x-prod.appspot.com/o/spaces%2FKcFb4ihnfBnfd0stkhMX%2Fuploads%2FH0EbR5gO6SxwVKmdz5hK%2FWhatsApp%20Image%202024-09-14%20at%2017.07.25_0dae7da1.jpg?alt=media&#x26;token=f692a0dc-8342-4eab-bb03-cbf1c25e00aa" alt=""><figcaption><p>X-Ray Sharp results inside Transform using MJ XL</p></figcaption></figure>

STEP 6: Send image to Enhance.

<figure><img src="https://2624966838-files.gitbook.io/~/files/v0/b/gitbook-x-prod.appspot.com/o/spaces%2FKcFb4ihnfBnfd0stkhMX%2Fuploads%2Fq7eDvO78gTjXFuT2jph6%2FUntitled%20(3)%5B1%5D.png?alt=media&#x26;token=e9bd7ecb-8006-4c41-b5e2-ec218f5d956b" alt=""><figcaption><p>After using Enhance for final finish. </p></figcaption></figure>
