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  1. README.md +18 -0
README.md CHANGED
@@ -74,6 +74,12 @@ device = "cuda"
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  pipe = StableDiffusionPipeline.from_pretrained(model_id, use_auth_token=True)
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  pipe = pipe.to(device)
 
 
 
 
 
 
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  ```
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  **Note**:
@@ -85,6 +91,12 @@ import torch
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  pipe = StableDiffusionPipeline.from_pretrained(model_id, torch_dtype=torch.float16, use_auth_token=True)
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  pipe = pipe.to(device)
 
 
 
 
 
 
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  ```
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  To swap out the noise scheduler, pass it to `from_pretrained`:
@@ -97,6 +109,12 @@ model_id = "CompVis/stable-diffusion-v1-4"
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  scheduler = LMSDiscreteScheduler(beta_start=0.00085, beta_end=0.012, beta_schedule="scaled_linear", num_train_timesteps=1000)
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  pipe = StableDiffusionPipeline.from_pretrained(model_id, scheduler=scheduler, use_auth_token=True)
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  pipe = pipe.to("cuda")
 
 
 
 
 
 
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  ```
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  # Uses
 
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  pipe = StableDiffusionPipeline.from_pretrained(model_id, use_auth_token=True)
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  pipe = pipe.to(device)
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+
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+ prompt = "a photo of an astronaut riding a horse on mars"
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+ with autocast("cuda"):
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+ image = pipe(prompt, guidance_scale=7.5)["sample"][0]
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+
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+ image.save("astronaut_rides_horse.png")
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  ```
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  **Note**:
 
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  pipe = StableDiffusionPipeline.from_pretrained(model_id, torch_dtype=torch.float16, use_auth_token=True)
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  pipe = pipe.to(device)
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+
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+ prompt = "a photo of an astronaut riding a horse on mars"
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+ with autocast("cuda"):
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+ image = pipe(prompt, guidance_scale=7.5)["sample"][0]
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+
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+ image.save("astronaut_rides_horse.png")
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  ```
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  To swap out the noise scheduler, pass it to `from_pretrained`:
 
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  scheduler = LMSDiscreteScheduler(beta_start=0.00085, beta_end=0.012, beta_schedule="scaled_linear", num_train_timesteps=1000)
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  pipe = StableDiffusionPipeline.from_pretrained(model_id, scheduler=scheduler, use_auth_token=True)
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  pipe = pipe.to("cuda")
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+
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+ prompt = "a photo of an astronaut riding a horse on mars"
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+ with autocast("cuda"):
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+ image = pipe(prompt, guidance_scale=7.5)["sample"][0]
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+
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+ image.save("astronaut_rides_horse.png")
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  ```
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  # Uses