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Google Maps into ANIME - Real-time Stable Diffusion & ComfyUI

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What if we turn Google Maps into anime? 🤔
I tried it using Stable Diffusion and ComfyUI. Here is the workflow:
- Checkpoint model: meinamix_meinaV11
- Positive Prompt: day, noon, (blue sky:1.0), clear sky
- Negative Prompt: (worst quality, low quality:1.4), (zombie, sketch, interlocked fingers, comic)
- Resolution: 768 x 512
- ControlNet model: control_vllp_sd15_canny
Depending on the Google Maps location, I add a country or city name in the positive prompt (e.g. Japan, New York, Paris, etc.). I used toyxyz's custom webcam node to capture a section of the screen and plug that into a ControlNet canny model.
KSampler:
- seed: 1
- control_after_generate: fixed
- steps: 15
- cfg: 4.0
- sampler_name: euler_ancestral
- scheduler: normal
- denoise: 1.00
It is possible to optimize this further and make better and faster generations. Perhaps by using an LCM-LoRA, StreamDiffusion, TouchDesigner, or a model based on SDXL-Lightning.
Let's connect!
Music from #Uppbeat (free for Creators!):
License code: N6R0OHMEKO2XTMAQ
I tried it using Stable Diffusion and ComfyUI. Here is the workflow:
- Checkpoint model: meinamix_meinaV11
- Positive Prompt: day, noon, (blue sky:1.0), clear sky
- Negative Prompt: (worst quality, low quality:1.4), (zombie, sketch, interlocked fingers, comic)
- Resolution: 768 x 512
- ControlNet model: control_vllp_sd15_canny
Depending on the Google Maps location, I add a country or city name in the positive prompt (e.g. Japan, New York, Paris, etc.). I used toyxyz's custom webcam node to capture a section of the screen and plug that into a ControlNet canny model.
KSampler:
- seed: 1
- control_after_generate: fixed
- steps: 15
- cfg: 4.0
- sampler_name: euler_ancestral
- scheduler: normal
- denoise: 1.00
It is possible to optimize this further and make better and faster generations. Perhaps by using an LCM-LoRA, StreamDiffusion, TouchDesigner, or a model based on SDXL-Lightning.
Let's connect!
Music from #Uppbeat (free for Creators!):
License code: N6R0OHMEKO2XTMAQ
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