Spaces:
Sleeping
Sleeping
Update app.py
Browse files
app.py
CHANGED
@@ -14,19 +14,19 @@ pipe.enable_xformers_memory_efficient_attention()
|
|
14 |
pipe = pipe.to(device)
|
15 |
torch.cuda.empty_cache()
|
16 |
|
17 |
-
|
18 |
-
|
19 |
-
|
20 |
-
|
21 |
|
22 |
def genie (Prompt, negative_prompt, height, width, scale, steps, seed, upscale):
|
23 |
generator = np.random.seed(0) if seed == 0 else torch.manual_seed(seed)
|
24 |
torch.cuda.empty_cache()
|
25 |
-
int_image = pipe(prompt=Prompt, negative_prompt=negative_prompt, num_inference_steps=steps, guidance_scale=scale, width=width, height=height, ).images
|
|
|
|
|
26 |
torch.cuda.empty_cache()
|
27 |
-
|
28 |
-
#torch.cuda.empty_cache()
|
29 |
-
return int_image
|
30 |
|
31 |
gr.Interface(fn=genie, inputs=[gr.Textbox(label='What you want the AI to generate. 77 Token Limit.'),
|
32 |
gr.Textbox(label='What you Do Not want the AI to generate. 77 Token Limit'),
|
|
|
14 |
pipe = pipe.to(device)
|
15 |
torch.cuda.empty_cache()
|
16 |
|
17 |
+
refiner = DiffusionPipeline.from_pretrained("stabilityai/stable-diffusion-xl-refiner-1.0", use_safetensors=True, torch_dtype=torch.float16, variant="fp16") if torch.cuda.is_available() else DiffusionPipeline.from_pretrained("stabilityai/stable-diffusion-xl-refiner-1.0")
|
18 |
+
refiner.enable_xformers_memory_efficient_attention()
|
19 |
+
refiner = refiner.to(device)
|
20 |
+
torch.cuda.empty_cache()
|
21 |
|
22 |
def genie (Prompt, negative_prompt, height, width, scale, steps, seed, upscale):
|
23 |
generator = np.random.seed(0) if seed == 0 else torch.manual_seed(seed)
|
24 |
torch.cuda.empty_cache()
|
25 |
+
int_image = pipe(prompt=Prompt, negative_prompt=negative_prompt, num_inference_steps=steps, guidance_scale=scale, width=width, height=height, output_type="latent").images #
|
26 |
+
torch.cuda.empty_cache()
|
27 |
+
image = refiner(Prompt, negative_prompt=negative_prompt, image=int_image, denoising_start=.99).images[0]
|
28 |
torch.cuda.empty_cache()
|
29 |
+
return image
|
|
|
|
|
30 |
|
31 |
gr.Interface(fn=genie, inputs=[gr.Textbox(label='What you want the AI to generate. 77 Token Limit.'),
|
32 |
gr.Textbox(label='What you Do Not want the AI to generate. 77 Token Limit'),
|