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1# Install libraries needed to run the models
2!pip install transformers diffusers accelerate -qq
3
4# Import the libraries
5from diffusers import StableDiffusionPipeline, EulerDiscreteScheduler
6from transformers import pipeline
7import torch
8
9# This is the model that the transformer was finetuned to generate prompts for
10model_id = "stabilityai/stable-diffusion-2-base"
11
12# Use the Euler scheduler here
13scheduler = EulerDiscreteScheduler.from_pretrained(model_id, subfolder="scheduler")
14pipe = StableDiffusionPipeline.from_pretrained(model_id, scheduler=scheduler, revision="fp16", torch_dtype=torch.float16)
15pipe = pipe.to("cuda")
16
17# Load the transformer model
18prompt_pipe = pipeline("text-generation", model="crumb/bloom-560m-RLHF-SD2-prompter-aesthetic")
19prompt = "cool landscape"
20
21# Auto-complete prompt
22prompt = "<s>Prompt: " + prompt + ","
23extended_prompt = prompt_pipe(prompt, do_sample=True, max_length=42)[0]['generated_text']
24extended_prompt = extended_prompt[10:]
25print("Prompt is now: ", extended_prompt)
26
27# Generate image
28image = pipe(extended_prompt).images[0]
29
30image.save("output.png")
31image