Spaces:
Running
on
Zero
Running
on
Zero
Update app.py
Browse files
app.py
CHANGED
@@ -31,7 +31,6 @@ import gradio as gr
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import numpy as np
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from safetensors.torch import load_file
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import torch
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import torch.distributed as dist
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from torchvision.transforms.functional import to_pil_image
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import models
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@@ -231,10 +230,6 @@ def infer_ode(args, infer_args, text_encoder, tokenizer, vae, model):
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model_kwargs["scale_factor"] = 1.0
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model_kwargs["scale_watershed"] = 1.0
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if dist.get_rank() == 0:
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print(f"> caption: {cap}")
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print(f"> num_sampling_steps: {num_sampling_steps}")
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print(f"> cfg_scale: {cfg_scale}")
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print("> start sample")
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samples = sample_fn(z, model.forward_with_cfg, **model_kwargs)[-1]
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import numpy as np
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from safetensors.torch import load_file
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import torch
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from torchvision.transforms.functional import to_pil_image
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import models
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model_kwargs["scale_factor"] = 1.0
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model_kwargs["scale_watershed"] = 1.0
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print("> start sample")
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samples = sample_fn(z, model.forward_with_cfg, **model_kwargs)[-1]
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