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README.md
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This model was converted to Core ML for use on Apple Silicon devices by following Apple's instructions [here](https://github.com/apple/ml-stable-diffusion#-converting-models-to-core-ml).<br>
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Provide the model to an app such as [Mochi Diffusion](https://github.com/godly-devotion/MochiDiffusion) to generate images.<br>
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`split_einsum`
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`original`
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# Anything V3
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Welcome to Anything V3 - a latent diffusion model for weebs. This model is intended to produce high-quality, highly detailed anime style with just a few prompts. Like other anime-style Stable Diffusion models, it also supports danbooru tags to generate images.
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e.g. **_1girl, white hair, golden eyes, beautiful eyes, detail, flower meadow, cumulonimbus clouds, lighting, detailed sky, garden_**
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We support a [Gradio](https://github.com/gradio-app/gradio) Web UI to run Anything-V3.0:
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[Open in Spaces](https://huggingface.co/spaces/
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## 🧨 Diffusers
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from diffusers import StableDiffusionPipeline
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import torch
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model_id = "
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branch_name= "diffusers"
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pipe = StableDiffusionPipeline.from_pretrained(model_id, revision=branch_name, torch_dtype=torch.float16)
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pipe = pipe.to("cuda")
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Below are some examples of images generated using this model:
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**Anime Girl:**
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![Anime Girl](https://huggingface.co/
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```
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1girl, brown hair, green eyes, colorful, autumn, cumulonimbus clouds, lighting, blue sky, falling leaves, garden
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Steps: 50, Sampler: DDIM, CFG scale: 12
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```
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**Anime Boy:**
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![Anime Boy](https://huggingface.co/
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1boy, medium hair, blonde hair, blue eyes, bishounen, colorful, autumn, cumulonimbus clouds, lighting, blue sky, falling leaves, garden
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Steps: 50, Sampler: DDIM, CFG scale: 12
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```
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**Scenery:**
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![Scenery](https://huggingface.co/
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```
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scenery, shibuya tokyo, post-apocalypse, ruins, rust, sky, skyscraper, abandoned, blue sky, broken window, building, cloud, crane machine, outdoors, overgrown, pillar, sunset
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Steps: 50, Sampler: DDIM, CFG scale: 12
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This model was converted to Core ML for use on Apple Silicon devices by following Apple's instructions [here](https://github.com/apple/ml-stable-diffusion#-converting-models-to-core-ml).<br>
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Provide the model to an app such as [Mochi Diffusion](https://github.com/godly-devotion/MochiDiffusion) to generate images.<br>
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`split_einsum` versions are compatible with all compute units.<br>
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`original` versions are only compatible with CPU & GPU.
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# Anything V3
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Sources: [Hugging Face](https://huggingface.co/Linaqruf/anything-v3.0) - [CivitAI](https://civitai.com/models/66/anything-v3)
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Welcome to Anything V3 - a latent diffusion model for weebs. This model is intended to produce high-quality, highly detailed anime style with just a few prompts. Like other anime-style Stable Diffusion models, it also supports danbooru tags to generate images.
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e.g. **_1girl, white hair, golden eyes, beautiful eyes, detail, flower meadow, cumulonimbus clouds, lighting, detailed sky, garden_**
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We support a [Gradio](https://github.com/gradio-app/gradio) Web UI to run Anything-V3.0:
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[Open in Spaces](https://huggingface.co/spaces/Maseshi/Anything-v3.0)
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## 🧨 Diffusers
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from diffusers import StableDiffusionPipeline
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import torch
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model_id = "Maseshi/Anything-v3.0"
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branch_name = "diffusers"
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pipe = StableDiffusionPipeline.from_pretrained(model_id, revision=branch_name, torch_dtype=torch.float16)
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pipe = pipe.to("cuda")
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Below are some examples of images generated using this model:
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**Anime Girl:**
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![Anime Girl](https://huggingface.co/Maseshi/Anything-v3.0/resolve/main/1girl.png)
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```
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1girl, brown hair, green eyes, colorful, autumn, cumulonimbus clouds, lighting, blue sky, falling leaves, garden
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Steps: 50, Sampler: DDIM, CFG scale: 12
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```
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**Anime Boy:**
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![Anime Boy](https://huggingface.co/Maseshi/Anything-v3.0/resolve/main/1boy.png)
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```
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1boy, medium hair, blonde hair, blue eyes, bishounen, colorful, autumn, cumulonimbus clouds, lighting, blue sky, falling leaves, garden
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Steps: 50, Sampler: DDIM, CFG scale: 12
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```
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**Scenery:**
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![Scenery](https://huggingface.co/Maseshi/Anything-v3.0/resolve/main/scenery.png)
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```
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scenery, shibuya tokyo, post-apocalypse, ruins, rust, sky, skyscraper, abandoned, blue sky, broken window, building, cloud, crane machine, outdoors, overgrown, pillar, sunset
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Steps: 50, Sampler: DDIM, CFG scale: 12
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