Yasunori Ozaki
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Commit
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Parent(s):
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Update README
Browse files- README.md +8 -9
- README_en.md +9 -10
README.md
CHANGED
@@ -86,20 +86,19 @@ pip install --upgrade git+https://github.com/huggingface/diffusers.git transform
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ๆฌกใฎในใฏใชใใใๅฎ่กใใ็ปๅใ็ๆใใฆใใ ใใใ
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```python
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from diffusers import StableDiffusionPipeline,
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import torch
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model_id = "aipicasso/cool-japan-diffusion-2-1-1
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scheduler =
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pipe = StableDiffusionPipeline.from_pretrained(model_id, scheduler=scheduler, torch_dtype=torch.float16)
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pipe = pipe.to("cuda")
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prompt = "anime, a portrait of a girl
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negative_prompt="
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image.save("girl.png")
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```
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ๆฌกใฎในใฏใชใใใๅฎ่กใใ็ปๅใ็ๆใใฆใใ ใใใ
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```python
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from diffusers import StableDiffusionPipeline, EulerAncestralDiscreteScheduler
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import torch
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model_id = "aipicasso/cool-japan-diffusion-2-1-1"
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scheduler = EulerAncestralDiscreteScheduler.from_pretrained(model_id, subfolder="scheduler")
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pipe = StableDiffusionPipeline.from_pretrained(model_id, scheduler=scheduler, torch_dtype=torch.float16)#,use_auth_token="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")
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pipe = pipe.to("cuda")
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prompt = "anime, masterpiece, a portrait of a girl, good pupil, 4k, detailed"
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negative_prompt="deformed, blurry, bad anatomy, bad pupil, disfigured, poorly drawn face, mutation, mutated, extra limb, ugly, poorly drawn hands, bad hands, fused fingers, messy drawing, broken legs censor, low quality, mutated hands and fingers, long body, mutation, poorly drawn, bad eyes, ui, error, missing fingers, fused fingers, one hand with more than 5 fingers, one hand with less than 5 fingers, one hand with more than 5 digit, one hand with less than 5 digit, extra digit, fewer digits, fused digit, missing digit, bad digit, liquid digit, long body, uncoordinated body, unnatural body, lowres, jpeg artifacts, 3d, cg, text, japanese kanji"
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images = pipe(prompt,negative_prompt=negative_prompt, num_inference_steps=20).images
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images[0].save("girl.png")
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```
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README_en.md
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@@ -56,20 +56,19 @@ pip install --upgrade git+https://github.com/huggingface/diffusers.git transform
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Running the pipeline (if you don't swap the scheduler it will run with the default DDIM, in this example we are swapping it to EulerDiscreteScheduler):
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```python
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from diffusers import StableDiffusionPipeline,
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import torch
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model_id = "aipicasso/cool-japan-diffusion-2-1-1
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scheduler =
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pipe = StableDiffusionPipeline.from_pretrained(model_id, scheduler=scheduler, torch_dtype=torch.float16)
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pipe = pipe.to("cuda")
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prompt = "anime, a portrait of a girl
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negative_prompt="
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image.save("girl.png")
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```
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- If you have low GPU RAM available, make sure to add a `pipe.enable_attention_slicing()` after sending it to `cuda` for less VRAM usage (to the cost of speed)
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*This model card was written by: Alfred Increment and is based on the [Stable Diffusion v2](https://huggingface.co/stabilityai/stable-diffusion-2/raw/main/README.md)
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Running the pipeline (if you don't swap the scheduler it will run with the default DDIM, in this example we are swapping it to EulerDiscreteScheduler):
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```python
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from diffusers import StableDiffusionPipeline, EulerAncestralDiscreteScheduler
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import torch
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model_id = "aipicasso/cool-japan-diffusion-2-1-1"
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scheduler = EulerAncestralDiscreteScheduler.from_pretrained(model_id, subfolder="scheduler")
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pipe = StableDiffusionPipeline.from_pretrained(model_id, scheduler=scheduler, torch_dtype=torch.float16)#,use_auth_token="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")
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pipe = pipe.to("cuda")
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prompt = "anime, masterpiece, a portrait of a girl, good pupil, 4k, detailed"
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negative_prompt="deformed, blurry, bad anatomy, bad pupil, disfigured, poorly drawn face, mutation, mutated, extra limb, ugly, poorly drawn hands, bad hands, fused fingers, messy drawing, broken legs censor, low quality, mutated hands and fingers, long body, mutation, poorly drawn, bad eyes, ui, error, missing fingers, fused fingers, one hand with more than 5 fingers, one hand with less than 5 fingers, one hand with more than 5 digit, one hand with less than 5 digit, extra digit, fewer digits, fused digit, missing digit, bad digit, liquid digit, long body, uncoordinated body, unnatural body, lowres, jpeg artifacts, 3d, cg, text, japanese kanji"
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images = pipe(prompt,negative_prompt=negative_prompt, num_inference_steps=20).images
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images[0].save("girl.png")
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```
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- If you have low GPU RAM available, make sure to add a `pipe.enable_attention_slicing()` after sending it to `cuda` for less VRAM usage (to the cost of speed)
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*This model card was written by: Alfred Increment and is based on the [Stable Diffusion v2](https://huggingface.co/stabilityai/stable-diffusion-2/raw/main/README.md)
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