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update composable adapter
#7
by
Liangbin
- opened
app.py
CHANGED
@@ -15,12 +15,9 @@ from huggingface_hub import hf_hub_url
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from pytorch_lightning import seed_everything
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from torch import autocast
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from ldm.inference_base import (DEFAULT_NEGATIVE_PROMPT, diffusion_inference,
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get_adapters, get_sd_models)
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from ldm.modules.extra_condition import api
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from ldm.modules.extra_condition.api import (ExtraCondition,
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get_adapter_feature,
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get_cond_model)
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torch.set_grad_enabled(False)
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@@ -33,7 +30,7 @@ urls = {
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'models/t2iadapter_openpose_sd14v1.pth', 'models/t2iadapter_seg_sd14v1.pth',
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'models/t2iadapter_sketch_sd14v1.pth', 'models/t2iadapter_depth_sd14v1.pth',
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'third-party-models/body_pose_model.pth', "models/t2iadapter_style_sd14v1.pth",
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"models/t2iadapter_canny_sd14v1.pth"
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],
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'runwayml/stable-diffusion-v1-5': ['v1-5-pruned-emaonly.ckpt'],
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'andite/anything-v4.0': ['anything-v4.0-pruned.ckpt', 'anything-v4.0.vae.pt'],
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@@ -299,4 +296,4 @@ with gr.Blocks(css='style.css') as demo:
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inps.extend([prompt, neg_prompt, scale, n_samples, seed, steps, resize_short_edge, cond_tau])
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submit.click(fn=run, inputs=inps, outputs=[output, cond])
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demo.launch(server_name='0.0.0.0'
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from pytorch_lightning import seed_everything
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from torch import autocast
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from ldm.inference_base import (DEFAULT_NEGATIVE_PROMPT, diffusion_inference, get_adapters, get_sd_models)
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from ldm.modules.extra_condition import api
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from ldm.modules.extra_condition.api import (ExtraCondition, get_adapter_feature, get_cond_model)
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torch.set_grad_enabled(False)
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'models/t2iadapter_openpose_sd14v1.pth', 'models/t2iadapter_seg_sd14v1.pth',
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'models/t2iadapter_sketch_sd14v1.pth', 'models/t2iadapter_depth_sd14v1.pth',
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'third-party-models/body_pose_model.pth', "models/t2iadapter_style_sd14v1.pth",
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"models/t2iadapter_canny_sd14v1.pth"
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],
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'runwayml/stable-diffusion-v1-5': ['v1-5-pruned-emaonly.ckpt'],
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'andite/anything-v4.0': ['anything-v4.0-pruned.ckpt', 'anything-v4.0.vae.pt'],
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inps.extend([prompt, neg_prompt, scale, n_samples, seed, steps, resize_short_edge, cond_tau])
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submit.click(fn=run, inputs=inps, outputs=[output, cond])
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demo.queue().launch(debug=True, server_name='0.0.0.0')
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