Table 9 1.3: Financial Performance for Applying AI
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Figure 6.1.2: DALL-E 2 generates large varieties of its target using diffusion model™. Figure 6.1.1: OpenAl's DALL-E 2 CLIP Latent Algorithm®™ Figure 6.2.2: Chat GPT-3 safety was tested and yielded consistent positive result. Based on Figure 7.1, a slight modification was done at the early stage where instead of getting into the fields to source information about the logo details and metadata. The artist generates samples from the Al's large datasets and validate each generated output to avoid potential copyright infringement disputes like copyrighted data as clear as render the original artist's or publisher's signature and watermarks®"!2"), Figure 8.1.2: DALL-E 2’s generated final logo based on 2 primary samples Figure 8.1.1: DALL-E 2 main samples and its abstracted prototype at the center. Figure 8.2.3: Finalized StableDiffusion's version of logo based on 3 selected samples. Table 9.1.2: Total Saving Done using AI Assistant Table 9.1.1: Total Financial Cost of all 3 Tasks Similarly, Table 9.1.4 tabulated the total cost ir terms of time, Table 9.1.5 tabulated the successful cost saving in terms of time and Table 9.1.6 tabulated the overall performance for all = tasks where a total of 22.88% days saved. Table 9.1.4: Time Resources Cost of all 3 tasks Table 9.1.5: Time Resources Cost of all 3 tasks using Figure 10.1.1: StableDiffusion failed to generate handshake accurately (more than 6 fingers and out of size). Figure 10.1.1: StableDiffusion failed to generate handshake accurately (more than 6 fingers and out of size). where those are the decision of the publication. should not be limited by certain rules and norms
