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078bead
1
Parent(s):
a144ec6
add english and cuda
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README.md
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@@ -1,6 +1,6 @@
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---
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title: Taiyi Stable Diffusion Chinese
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emoji:
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colorFrom: red
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colorTo: red
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sdk: gradio
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---
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title: Taiyi Stable Diffusion Chinese
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emoji: 🤯
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colorFrom: red
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colorTo: red
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sdk: gradio
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app.py
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@@ -3,7 +3,7 @@ from diffusers import StableDiffusionPipeline
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# from PIL import Image
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device="
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model_id = "IDEA-CCNL/Taiyi-Stable-Diffusion-1B-Chinese-v0.1"
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# pipe_img2img = StableDiffusionImg2ImgPipeline.from_pretrained(model_id, tokenizer=tokenizer, text_encoder=text_encoder, vae=vae, unet=unet).to(device)
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@@ -26,8 +26,8 @@ gr.Interface(fn=infer, inputs=
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[
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# gr.Image(source="upload", type="filepath", label="原始图像"),
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gr.Textbox(label = '提示词(prompt)'),
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gr.Slider(2, 15, value = 7, label = '文本引导强度'),
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gr.Slider(10, 30, value = 20, step = 1, label = '迭代次数'),
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gr.Slider(256, 768, value = 512, step = 64, label = '宽度'),
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gr.Slider(256, 768, value = 512, step = 64, label = '高度'),
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],outputs='image').queue(concurrency_count=10).launch()
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# from PIL import Image
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device="cuda"
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model_id = "IDEA-CCNL/Taiyi-Stable-Diffusion-1B-Chinese-v0.1"
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# pipe_img2img = StableDiffusionImg2ImgPipeline.from_pretrained(model_id, tokenizer=tokenizer, text_encoder=text_encoder, vae=vae, unet=unet).to(device)
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[
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# gr.Image(source="upload", type="filepath", label="原始图像"),
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gr.Textbox(label = '提示词(prompt)'),
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gr.Slider(2, 15, value = 7, label = '文本引导强度(guidance scale)'),
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gr.Slider(10, 30, value = 20, step = 1, label = '迭代次数(inference steps)'),
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gr.Slider(256, 768, value = 512, step = 64, label = '宽度(width)'),
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gr.Slider(256, 768, value = 512, step = 64, label = '高度(height)'),
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],outputs='image').queue(concurrency_count=10).launch()
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