Spaces:
Runtime error
Runtime error
| # Some parameters | |
| n_points = 6 #@param | |
| n_steps = 300 #@param | |
| latents = torch.randn(n_points, 256) | |
| # Loop through generating the frames | |
| frames = [] | |
| for i in tqdm(range(n_steps)): | |
| p1 = max(0, int(n_points*i/n_steps)) | |
| p2 = min(n_points, int(n_points*i/n_steps)+1)%n_points # so it wraps back to 0 | |
| frac = (i-(p1*(n_steps/n_points))) / (n_steps/n_points) | |
| l = latents[p1]*(1-frac) + latents[p2]*frac | |
| im = model.G(l.unsqueeze(0)).clamp_(0., 1.) | |
| frame=(im[0].permute(1, 2, 0).detach().cpu().numpy()*255).astype(np.uint8) | |
| frames.append(frame) |