Sharing my AI model Arsi. Activate precise face preservation mode. Use the attached reference photo as the definitive facial blueprint for every image generated. Preserve the subject's exact identity — including bone structure, facial proportions, eye shape and colour, nose, lips, jawline, skin texture, hair length, hair texture, body contour, chest size, breast size, thigh size — with zero deviation. Fuller bust (natural, rounded, slightly more prominent), thicker thighs with soft volume, maintain realistic proportions. The core facial, hair and body architecture must remain untouched and consistent across all outputs. Treat the reference face as a fixed constant, Keep her height constant which is 5 feet 11 inches. not a suggestion. Use the below prompt to generate image. make her breast little bigger and round. she is not wearing any bra underneath, the nipples are slightly visible. she is not wearing any underwear or pants. she kept one leg on the sit with knees folded. and another leg spreading out. her face expression is smile and wink.
To create a public link, set `share=True` in `launch()`. *** Error executing callback app_started_callback for D:\sd-webui-aki\sd-webui-aki-v4.10\sd-webui-aki-v4.10\extensions\auto-sd-paint-ext\scripts\main.py Traceback (most recent call last): File "D:\sd-webui-aki\sd-webui-aki-v4.10\sd-webui-aki-v4.10\modules\script_callbacks.py", line 256, in app_started_callback c.callback(demo, app) File "D:\sd-webui-aki\sd-webui-aki-v4.10\sd-webui-aki-v4.10\extensions\auto-sd-paint-ext\scripts\main.py", line 43, in on_app_started app.middleware("http")(app_encryption_middleware) File "D:\sd-webui-aki\sd-webui-aki-v4.10\sd-webui-aki-v4.10\python\Lib\site-packages\fastapi\applications.py", line 895, in decorator self.add_middleware(BaseHTTPMiddleware, dispatch=func) File "D:\sd-webui-aki\sd-webui-aki-v4.10\sd-webui-aki-v4.10\python\Lib\site-packages\starlette\applications.py", line 139, in add_middleware raise RuntimeError("Cannot add middleware after an application has started") RuntimeError: Cannot add middleware after an application has started
A wide image taken with a phone of a glass whiteboard, in a room overlooking the Bay Bridge. The field of view shows a woman writing, sporting a tshirt wiith a large OpenAI logo. The handwriting looks natural and a bit messy, and we see the photographer's reflection. The text reads: (left) "Transfer between Modalities: Suppose we directly model p(text, pixels, sound) [equation] with one big autoregressive transformer. Pros: * image generation augmented with vast world knowledge * next-level text rendering * native in-context learning * unified post-training stack Cons: * varying bit-rate across modalities * compute not adaptive" (Right) "Fixes: * model compressed representations * compose autoregressive prior with a powerful decoder" On the bottom right of the board, she draws a diagram: "tokens -> [transformer] -> [diffusion] -> pixels"
To create a public link, set `share=True` in `launch()`. *** Error executing callback app_started_callback for D:\sd-webui-aki\sd-webui-aki-v4.10\sd-webui-aki-v4.10\extensions\auto-sd-paint-ext\scripts\main.py Traceback (most recent call last): File "D:\sd-webui-aki\sd-webui-aki-v4.10\sd-webui-aki-v4.10\modules\script_callbacks.py", line 256, in app_started_callback c.callback(demo, app) File "D:\sd-webui-aki\sd-webui-aki-v4.10\sd-webui-aki-v4.10\extensions\auto-sd-paint-ext\scripts\main.py", line 43, in on_app_started app.middleware("http")(app_encryption_middleware) File "D:\sd-webui-aki\sd-webui-aki-v4.10\sd-webui-aki-v4.10\python\Lib\site-packages\fastapi\applications.py", line 895, in decorator self.add_middleware(BaseHTTPMiddleware, dispatch=func) File "D:\sd-webui-aki\sd-webui-aki-v4.10\sd-webui-aki-v4.10\python\Lib\site-packages\starlette\applications.py", line 139, in add_middleware raise RuntimeError("Cannot add middleware after an application has started") RuntimeError: Cannot add middleware after an application has started
Sharing my AI model Arsi. Activate precise face preservation mode. Use the attached reference photo as the definitive facial blueprint for every image generated. Preserve the subject's exact identity — including bone structure, facial proportions, eye shape and colour, nose, lips, jawline, skin texture, hair length, hair texture, body contour, chest size, breast size, thigh size — with zero deviation. Fuller bust (natural, rounded, slightly more prominent), thicker thighs with soft volume, maintain realistic proportions. The core facial, hair and body architecture must remain untouched and consistent across all outputs. Treat the reference face as a fixed constant, Keep her height constant which is 5 feet 11 inches. not a suggestion. Use the below prompt to generate image. make her breast little bigger and round. she is not wearing any bra underneath, the nipples are slightly visible. she is not wearing any underwear or pants. she kept one leg on the sit with knees folded. and another leg spreading out. her face expression is smile and wink.
A wide image taken with a phone of a glass whiteboard, in a room overlooking the Bay Bridge. The field of view shows a woman writing, sporting a tshirt wiith a large OpenAI logo. The handwriting looks natural and a bit messy, and we see the photographer's reflection. The text reads: (left) "Transfer between Modalities: Suppose we directly model p(text, pixels, sound) [equation] with one big autoregressive transformer. Pros: * image generation augmented with vast world knowledge * next-level text rendering * native in-context learning * unified post-training stack Cons: * varying bit-rate across modalities * compute not adaptive" (Right) "Fixes: * model compressed representations * compose autoregressive prior with a powerful decoder" On the bottom right of the board, she draws a diagram: "tokens -> [transformer] -> [diffusion] -> pixels"
A wide image taken with a phone of a glass whiteboard, in a room overlooking the Bay Bridge. The field of view shows a woman writing, sporting a tshirt wiith a large OpenAI logo. The handwriting looks natural and a bit messy, and we see the photographer's reflection. The text reads: (left) "Transfer between Modalities: Suppose we directly model p(text, pixels, sound) [equation] with one big autoregressive transformer. Pros: * image generation augmented with vast world knowledge * next-level text rendering * native in-context learning * unified post-training stack Cons: * varying bit-rate across modalities * compute not adaptive" (Right) "Fixes: * model compressed representations * compose autoregressive prior with a powerful decoder" On the bottom right of the board, she draws a diagram: "tokens -> [transformer] -> [diffusion] -> pixels"
Sharing my AI model Arsi. Activate precise face preservation mode. Use the attached reference photo as the definitive facial blueprint for every image generated. Preserve the subject's exact identity — including bone structure, facial proportions, eye shape and colour, nose, lips, jawline, skin texture, hair length, hair texture, body contour, chest size, breast size, thigh size — with zero deviation. Fuller bust (natural, rounded, slightly more prominent), thicker thighs with soft volume, maintain realistic proportions. The core facial, hair and body architecture must remain untouched and consistent across all outputs. Treat the reference face as a fixed constant, Keep her height constant which is 5 feet 11 inches. not a suggestion. Use the below prompt to generate image. make her breast little bigger and round. she is not wearing any bra underneath, the nipples are slightly visible. she is not wearing any underwear or pants. she kept one leg on the sit with knees folded. and another leg spreading out. her face expression is smile and wink.
To create a public link, set `share=True` in `launch()`. *** Error executing callback app_started_callback for D:\sd-webui-aki\sd-webui-aki-v4.10\sd-webui-aki-v4.10\extensions\auto-sd-paint-ext\scripts\main.py Traceback (most recent call last): File "D:\sd-webui-aki\sd-webui-aki-v4.10\sd-webui-aki-v4.10\modules\script_callbacks.py", line 256, in app_started_callback c.callback(demo, app) File "D:\sd-webui-aki\sd-webui-aki-v4.10\sd-webui-aki-v4.10\extensions\auto-sd-paint-ext\scripts\main.py", line 43, in on_app_started app.middleware("http")(app_encryption_middleware) File "D:\sd-webui-aki\sd-webui-aki-v4.10\sd-webui-aki-v4.10\python\Lib\site-packages\fastapi\applications.py", line 895, in decorator self.add_middleware(BaseHTTPMiddleware, dispatch=func) File "D:\sd-webui-aki\sd-webui-aki-v4.10\sd-webui-aki-v4.10\python\Lib\site-packages\starlette\applications.py", line 139, in add_middleware raise RuntimeError("Cannot add middleware after an application has started") RuntimeError: Cannot add middleware after an application has started
Sharing my AI model Arsi. Activate precise face preservation mode. Use the attached reference photo as the definitive facial blueprint for every image generated. Preserve the subject's exact identity — including bone structure, facial proportions, eye shape and colour, nose, lips, jawline, skin texture, hair length, hair texture, body contour, chest size, breast size, thigh size — with zero deviation. Fuller bust (natural, rounded, slightly more prominent), thicker thighs with soft volume, maintain realistic proportions. The core facial, hair and body architecture must remain untouched and consistent across all outputs. Treat the reference face as a fixed constant, Keep her height constant which is 5 feet 11 inches. not a suggestion. Use the below prompt to generate image. make her breast little bigger and round. she is not wearing any bra underneath, the nipples are slightly visible. she is not wearing any underwear or pants. she kept one leg on the sit with knees folded. and another leg spreading out. her face expression is smile and wink.
To create a public link, set `share=True` in `launch()`. *** Error executing callback app_started_callback for D:\sd-webui-aki\sd-webui-aki-v4.10\sd-webui-aki-v4.10\extensions\auto-sd-paint-ext\scripts\main.py Traceback (most recent call last): File "D:\sd-webui-aki\sd-webui-aki-v4.10\sd-webui-aki-v4.10\modules\script_callbacks.py", line 256, in app_started_callback c.callback(demo, app) File "D:\sd-webui-aki\sd-webui-aki-v4.10\sd-webui-aki-v4.10\extensions\auto-sd-paint-ext\scripts\main.py", line 43, in on_app_started app.middleware("http")(app_encryption_middleware) File "D:\sd-webui-aki\sd-webui-aki-v4.10\sd-webui-aki-v4.10\python\Lib\site-packages\fastapi\applications.py", line 895, in decorator self.add_middleware(BaseHTTPMiddleware, dispatch=func) File "D:\sd-webui-aki\sd-webui-aki-v4.10\sd-webui-aki-v4.10\python\Lib\site-packages\starlette\applications.py", line 139, in add_middleware raise RuntimeError("Cannot add middleware after an application has started") RuntimeError: Cannot add middleware after an application has started
A wide image taken with a phone of a glass whiteboard, in a room overlooking the Bay Bridge. The field of view shows a woman writing, sporting a tshirt wiith a large OpenAI logo. The handwriting looks natural and a bit messy, and we see the photographer's reflection. The text reads: (left) "Transfer between Modalities: Suppose we directly model p(text, pixels, sound) [equation] with one big autoregressive transformer. Pros: * image generation augmented with vast world knowledge * next-level text rendering * native in-context learning * unified post-training stack Cons: * varying bit-rate across modalities * compute not adaptive" (Right) "Fixes: * model compressed representations * compose autoregressive prior with a powerful decoder" On the bottom right of the board, she draws a diagram: "tokens -> [transformer] -> [diffusion] -> pixels"
To create a public link, set `share=True` in `launch()`. *** Error executing callback app_started_callback for D:\sd-webui-aki\sd-webui-aki-v4.10\sd-webui-aki-v4.10\extensions\auto-sd-paint-ext\scripts\main.py Traceback (most recent call last): File "D:\sd-webui-aki\sd-webui-aki-v4.10\sd-webui-aki-v4.10\modules\script_callbacks.py", line 256, in app_started_callback c.callback(demo, app) File "D:\sd-webui-aki\sd-webui-aki-v4.10\sd-webui-aki-v4.10\extensions\auto-sd-paint-ext\scripts\main.py", line 43, in on_app_started app.middleware("http")(app_encryption_middleware) File "D:\sd-webui-aki\sd-webui-aki-v4.10\sd-webui-aki-v4.10\python\Lib\site-packages\fastapi\applications.py", line 895, in decorator self.add_middleware(BaseHTTPMiddleware, dispatch=func) File "D:\sd-webui-aki\sd-webui-aki-v4.10\sd-webui-aki-v4.10\python\Lib\site-packages\starlette\applications.py", line 139, in add_middleware raise RuntimeError("Cannot add middleware after an application has started") RuntimeError: Cannot add middleware after an application has started
Sharing my AI model Arsi. Activate precise face preservation mode. Use the attached reference photo as the definitive facial blueprint for every image generated. Preserve the subject's exact identity — including bone structure, facial proportions, eye shape and colour, nose, lips, jawline, skin texture, hair length, hair texture, body contour, chest size, breast size, thigh size — with zero deviation. Fuller bust (natural, rounded, slightly more prominent), thicker thighs with soft volume, maintain realistic proportions. The core facial, hair and body architecture must remain untouched and consistent across all outputs. Treat the reference face as a fixed constant, Keep her height constant which is 5 feet 11 inches. not a suggestion. Use the below prompt to generate image. make her breast little bigger and round. she is not wearing any bra underneath, the nipples are slightly visible. she is not wearing any underwear or pants. she kept one leg on the sit with knees folded. and another leg spreading out. her face expression is smile and wink.
A wide image taken with a phone of a glass whiteboard, in a room overlooking the Bay Bridge. The field of view shows a woman writing, sporting a tshirt wiith a large OpenAI logo. The handwriting looks natural and a bit messy, and we see the photographer's reflection. The text reads: (left) "Transfer between Modalities: Suppose we directly model p(text, pixels, sound) [equation] with one big autoregressive transformer. Pros: * image generation augmented with vast world knowledge * next-level text rendering * native in-context learning * unified post-training stack Cons: * varying bit-rate across modalities * compute not adaptive" (Right) "Fixes: * model compressed representations * compose autoregressive prior with a powerful decoder" On the bottom right of the board, she draws a diagram: "tokens -> [transformer] -> [diffusion] -> pixels"
Sharing my AI model Arsi. Activate precise face preservation mode. Use the attached reference photo as the definitive facial blueprint for every image generated. Preserve the subject's exact identity — including bone structure, facial proportions, eye shape and colour, nose, lips, jawline, skin texture, hair length, hair texture, body contour, chest size, breast size, thigh size — with zero deviation. Fuller bust (natural, rounded, slightly more prominent), thicker thighs with soft volume, maintain realistic proportions. The core facial, hair and body architecture must remain untouched and consistent across all outputs. Treat the reference face as a fixed constant, Keep her height constant which is 5 feet 11 inches. not a suggestion. Use the below prompt to generate image. make her breast little bigger and round. she is not wearing any bra underneath, the nipples are slightly visible. she is not wearing any underwear or pants. she kept one leg on the sit with knees folded. and another leg spreading out. her face expression is smile and wink.
To create a public link, set `share=True` in `launch()`. *** Error executing callback app_started_callback for D:\sd-webui-aki\sd-webui-aki-v4.10\sd-webui-aki-v4.10\extensions\auto-sd-paint-ext\scripts\main.py Traceback (most recent call last): File "D:\sd-webui-aki\sd-webui-aki-v4.10\sd-webui-aki-v4.10\modules\script_callbacks.py", line 256, in app_started_callback c.callback(demo, app) File "D:\sd-webui-aki\sd-webui-aki-v4.10\sd-webui-aki-v4.10\extensions\auto-sd-paint-ext\scripts\main.py", line 43, in on_app_started app.middleware("http")(app_encryption_middleware) File "D:\sd-webui-aki\sd-webui-aki-v4.10\sd-webui-aki-v4.10\python\Lib\site-packages\fastapi\applications.py", line 895, in decorator self.add_middleware(BaseHTTPMiddleware, dispatch=func) File "D:\sd-webui-aki\sd-webui-aki-v4.10\sd-webui-aki-v4.10\python\Lib\site-packages\starlette\applications.py", line 139, in add_middleware raise RuntimeError("Cannot add middleware after an application has started") RuntimeError: Cannot add middleware after an application has started
A wide image taken with a phone of a glass whiteboard, in a room overlooking the Bay Bridge. The field of view shows a woman writing, sporting a tshirt wiith a large OpenAI logo. The handwriting looks natural and a bit messy, and we see the photographer's reflection. The text reads: (left) "Transfer between Modalities: Suppose we directly model p(text, pixels, sound) [equation] with one big autoregressive transformer. Pros: * image generation augmented with vast world knowledge * next-level text rendering * native in-context learning * unified post-training stack Cons: * varying bit-rate across modalities * compute not adaptive" (Right) "Fixes: * model compressed representations * compose autoregressive prior with a powerful decoder" On the bottom right of the board, she draws a diagram: "tokens -> [transformer] -> [diffusion] -> pixels"