D3 Studios - Bones

D3 Studios - Bones

Exploring texture generation using AI software

D3 Studios - Bones

Exploring texture generation using AI software

D3 Studios - Bones

Exploring texture generation using AI software

D3

D3

Bones started as a randomly generated prompt and became an opportunity to explore how AI-generated textures could be integrated into a traditional 3D workflow. The goal was to take an unpredictable concept and build a fully realized scene in Cinema 4D and Redshift, using the process as a study in both look development and AI-assisted texturing.


AI played a major role in developing the materials for the scene. I used it to generate the texture for the map, creating a weathered, aged surface that helped establish the setting, as well as the textures for the scattered coins. From there, I brought those elements into Cinema 4D and Redshift, refining the materials, lighting, composition, and overall look to make the AI-generated textures work within the 3D environment.

The project became less about recreating the original prompt and more about seeing how far I could push an AI-assisted workflow while still maintaining creative control over the final image. Combining generated textures with traditional 3D techniques allowed me to experiment with a faster, more unpredictable approach to look development

.

The final scene became a small study in where AI-generated imagery can fit within a 3D production pipeline—using AI as a starting point for texture creation while relying on Cinema 4D and Redshift to shape the final result.

Bones started as a randomly generated prompt and became an opportunity to explore how AI-generated textures could be integrated into a traditional 3D workflow. The goal was to take an unpredictable concept and build a fully realized scene in Cinema 4D and Redshift, using the process as a study in both look development and AI-assisted texturing.


AI played a major role in developing the materials for the scene. I used it to generate the texture for the map, creating a weathered, aged surface that helped establish the setting, as well as the textures for the scattered coins. From there, I brought those elements into Cinema 4D and Redshift, refining the materials, lighting, composition, and overall look to make the AI-generated textures work within the 3D environment.

The project became less about recreating the original prompt and more about seeing how far I could push an AI-assisted workflow while still maintaining creative control over the final image. Combining generated textures with traditional 3D techniques allowed me to experiment with a faster, more unpredictable approach to look development

.

The final scene became a small study in where AI-generated imagery can fit within a 3D production pipeline—using AI as a starting point for texture creation while relying on Cinema 4D and Redshift to shape the final result.

Bones started as a randomly generated prompt and became an opportunity to explore how AI-generated textures could be integrated into a traditional 3D workflow. The goal was to take an unpredictable concept and build a fully realized scene in Cinema 4D and Redshift, using the process as a study in both look development and AI-assisted texturing.


AI played a major role in developing the materials for the scene. I used it to generate the texture for the map, creating a weathered, aged surface that helped establish the setting, as well as the textures for the scattered coins. From there, I brought those elements into Cinema 4D and Redshift, refining the materials, lighting, composition, and overall look to make the AI-generated textures work within the 3D environment.

The project became less about recreating the original prompt and more about seeing how far I could push an AI-assisted workflow while still maintaining creative control over the final image. Combining generated textures with traditional 3D techniques allowed me to experiment with a faster, more unpredictable approach to look development

.

The final scene became a small study in where AI-generated imagery can fit within a 3D production pipeline—using AI as a starting point for texture creation while relying on Cinema 4D and Redshift to shape the final result.

Bones started as a randomly generated prompt and became an opportunity to explore how AI-generated textures could be integrated into a traditional 3D workflow. The goal was to take an unpredictable concept and build a fully realized scene in Cinema 4D and Redshift, using the process as a study in both look development and AI-assisted texturing.


AI played a major role in developing the materials for the scene. I used it to generate the texture for the map, creating a weathered, aged surface that helped establish the setting, as well as the textures for the scattered coins. From there, I brought those elements into Cinema 4D and Redshift, refining the materials, lighting, composition, and overall look to make the AI-generated textures work within the 3D environment.

The project became less about recreating the original prompt and more about seeing how far I could push an AI-assisted workflow while still maintaining creative control over the final image. Combining generated textures with traditional 3D techniques allowed me to experiment with a faster, more unpredictable approach to look development

.

The final scene became a small study in where AI-generated imagery can fit within a 3D production pipeline—using AI as a starting point for texture creation while relying on Cinema 4D and Redshift to shape the final result.

Bones started as a randomly generated prompt and became an opportunity to explore how AI-generated textures could be integrated into a traditional 3D workflow. The goal was to take an unpredictable concept and build a fully realized scene in Cinema 4D and Redshift, using the process as a study in both look development and AI-assisted texturing.


AI played a major role in developing the materials for the scene. I used it to generate the texture for the map, creating a weathered, aged surface that helped establish the setting, as well as the textures for the scattered coins. From there, I brought those elements into Cinema 4D and Redshift, refining the materials, lighting, composition, and overall look to make the AI-generated textures work within the 3D environment.

The project became less about recreating the original prompt and more about seeing how far I could push an AI-assisted workflow while still maintaining creative control over the final image. Combining generated textures with traditional 3D techniques allowed me to experiment with a faster, more unpredictable approach to look development

.

The final scene became a small study in where AI-generated imagery can fit within a 3D production pipeline—using AI as a starting point for texture creation while relying on Cinema 4D and Redshift to shape the final result.

Let’s make it move.

Let’s make it move.