Update README.md

README.md

@@ -22,4 +22,42 @@ inference:
 
 # BLOOM-560m RLHF SD2 Prompter Aesthetic
 
-This is a further finetuned version of [crumb/bloom-560m-RLHF-SD2-prompter](https://hf.co/crumb/bloom-560m-RLHF-SD2-prompter) to optimize for aesthetic score with models from https://github.com/crowsonkb/simulacra-aesthetic-models instead of me hand scoring each image
+This is a further finetuned version of [crumb/bloom-560m-RLHF-SD2-prompter](https://hf.co/crumb/bloom-560m-RLHF-SD2-prompter) to optimize for aesthetic score with models from https://github.com/crowsonkb/simulacra-aesthetic-models instead of me hand scoring each image
+
+donate so i can do this on real hardware : https://github.com/aicrumb/aicrumb/blob/main/README.md
+
+## Example usage
+
+```python
+# Install libraries needed to run the models
+!pip install transformers diffusers accelerate -qq
+
+# Import the libraries
+from diffusers import StableDiffusionPipeline, EulerDiscreteScheduler
+from transformers import pipeline
+import torch
+
+# This is the model that the transformer was finetuned to generate prompts for
+model_id = "stabilityai/stable-diffusion-2-base"
+
+# Use the Euler scheduler here
+scheduler = EulerDiscreteScheduler.from_pretrained(model_id, subfolder="scheduler")
+pipe = StableDiffusionPipeline.from_pretrained(model_id, scheduler=scheduler, revision="fp16", torch_dtype=torch.float16)
+pipe = pipe.to("cuda")
+
+# Load the transformer model
+prompt_pipe = pipeline("text-generation", model="crumb/bloom-560m-RLHF-SD2-prompter")
+prompt = "cool landscape"
+
+# Auto-complete prompt
+prompt = "<s>Prompt: " + prompt + ","
+extended_prompt = prompt_pipe(prompt, do_sample=True, max_length=42)[0]['generated_text']
+extended_prompt = extended_prompt[10:]
+print("Prompt is now: ", extended_prompt)
+
+# Generate image
+image = pipe(extended_prompt).images[0]  
+
+image.save("output.png")
+image
+```