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Upload app.py
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app.py
CHANGED
@@ -15,6 +15,20 @@ loras = [
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schedulers = list(SCHEDULER_CONFIG_MAP.keys())
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css = """"""
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with gr.Blocks(theme="NoCrypt/miku@>=1.2.2", css=css) as demo:
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@@ -37,7 +51,7 @@ It saves you the trouble of typing them in.<br>
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- Input your new repo name. If empty, auto-complete. e.g. 'newrepo'.
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- Set the parameters. If not sure, just use the defaults.
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- Click "Submit".
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- Patiently wait until the output changes.
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"""
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)
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with gr.Column():
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@@ -47,6 +61,7 @@ It saves you the trouble of typing them in.<br>
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hf_token = gr.Textbox(label="Your HF write token", placeholder="hf_...", value="", max_lines=1)
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civitai_key = gr.Textbox(label="Your Civitai API Key (Optional)", info="If you download model from Civitai...", placeholder="", value="", max_lines=1)
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is_upload_sf = gr.Checkbox(label="Upload single safetensors file into new repo", value=False)
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with gr.Accordion("Advanced settings", open=False):
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is_half = gr.Checkbox(label="Half precision", value=True)
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model_type = gr.Radio(label="Model type", choices=["v1", "v2"], value="v1")
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@@ -77,6 +92,13 @@ It saves you the trouble of typing them in.<br>
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model_type, sample_size, ema],
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outputs=[repo_urls, output_md],
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)
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demo.queue()
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demo.launch()
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]
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schedulers = list(SCHEDULER_CONFIG_MAP.keys())
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preset_dict = {
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"Default": [True, "", "Euler", "", 1.0, "", 1.0, "", 1.0, "", 1.0, "", 1.0, "v1", 768, "ema"],
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"Bake in standard VAE": [True, "https://huggingface.co/stabilityai/sd-vae-ft-mse-original/resolve/main/vae-ft-mse-840000-ema-pruned.ckpt",
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"Euler", "", 1.0, "", 1.0, "", 1.0, "", 1.0, "", 1.0, "v1", 768, "ema"],
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}
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def set_presets(preset: str="Default"):
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p = []
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if preset in preset_dict.keys(): p = preset_dict[preset]
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else: p = preset_dict["Default"]
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return p[0], p[1], p[2], p[3], p[4], p[5], p[6], p[7], p[8], p[9], p[10], p[11], p[12], p[13], p[14], p[15]
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css = """"""
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with gr.Blocks(theme="NoCrypt/miku@>=1.2.2", css=css) as demo:
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- Input your new repo name. If empty, auto-complete. e.g. 'newrepo'.
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- Set the parameters. If not sure, just use the defaults.
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- Click "Submit".
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- Patiently wait until the output changes. It takes approximately 1 minutes (downloading from HF).
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"""
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)
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with gr.Column():
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hf_token = gr.Textbox(label="Your HF write token", placeholder="hf_...", value="", max_lines=1)
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civitai_key = gr.Textbox(label="Your Civitai API Key (Optional)", info="If you download model from Civitai...", placeholder="", value="", max_lines=1)
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is_upload_sf = gr.Checkbox(label="Upload single safetensors file into new repo", value=False)
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presets = gr.Radio(label="Presets", choices=list(preset_dict.keys()), value="Default")
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with gr.Accordion("Advanced settings", open=False):
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is_half = gr.Checkbox(label="Half precision", value=True)
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model_type = gr.Radio(label="Model type", choices=["v1", "v2"], value="v1")
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model_type, sample_size, ema],
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outputs=[repo_urls, output_md],
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)
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presets.change(
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fn=set_presets,
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inputs=[presets],
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outputs=[is_half, vae, scheduler, lora1, lora1s, lora2, lora2s, lora3, lora3s, lora4, lora4s, lora5, lora5s,
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model_type, sample_size, ema],
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queue=False,
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)
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demo.queue()
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demo.launch()
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