Spaces:
Runtime error
Runtime error
Update app.py
Browse files
app.py
CHANGED
@@ -46,7 +46,7 @@ FTP_PASS = "GoogleBez12!"
|
|
46 |
FTP_DIR = "1ink.us/stable_diff/" # Remote directory on FTP server
|
47 |
|
48 |
DESCRIPTIONXX = """
|
49 |
-
## β‘β‘β‘β‘ REALVISXL V5.0 BF16 (Tester
|
50 |
"""
|
51 |
|
52 |
examples = [
|
@@ -109,7 +109,7 @@ def load_and_prepare_model(model_id):
|
|
109 |
model_dtypes = {"ford442/RealVisXL_V5.0_BF16": torch.bfloat16,}
|
110 |
dtype = model_dtypes.get(model_id, torch.bfloat16) # Default to float32 if not found
|
111 |
#vae = AutoencoderKL.from_pretrained("ford442/sdxl-vae-bf16", safety_checker=None)
|
112 |
-
|
113 |
#vae = AutoencoderKL.from_pretrained('cross-attention/asymmetric-autoencoder-kl-x-2',use_safetensors=False)
|
114 |
#vae = AutoencoderKL.from_single_file('https://huggingface.co/ford442/sdxl-vae-bf16/mySLR/myslrVAE_v10.safetensors')
|
115 |
#vaeX = AutoencoderKL.from_pretrained("stabilityai/sd-vae-ft-mse",use_safetensors=True)
|
@@ -146,7 +146,7 @@ def load_and_prepare_model(model_id):
|
|
146 |
#sched = EulerAncestralDiscreteScheduler.from_config(pipe.scheduler.config, beta_schedule="scaled_linear",use_karras_sigmas=True, algorithm_type="dpmsolver++")
|
147 |
#pipe.scheduler = EulerAncestralDiscreteScheduler.from_config(pipe.scheduler.config, beta_schedule="scaled_linear", beta_start=0.00085, beta_end=0.012, steps_offset=1)
|
148 |
#pipe.scheduler = DPMSolverMultistepScheduler.from_pretrained('SG161222/RealVisXL_V5.0', subfolder='scheduler', algorithm_type='sde-dpmsolver++')
|
149 |
-
|
150 |
#pipe.unet = unetX
|
151 |
#pipe.vae.do_resize=False
|
152 |
pipe.scheduler = sched
|
@@ -220,7 +220,7 @@ def uploadNote():
|
|
220 |
f.write(f"SPACE SETUP: \n")
|
221 |
f.write(f"Use Model Dtype: no \n")
|
222 |
f.write(f"Model Scheduler: Euler_a custom before cuda \n")
|
223 |
-
f.write(f"Model VAE:
|
224 |
f.write(f"Model UNET: default SG161222/RealVisXL_V5.0 \n")
|
225 |
upload_to_ftp(filename)
|
226 |
|
|
|
46 |
FTP_DIR = "1ink.us/stable_diff/" # Remote directory on FTP server
|
47 |
|
48 |
DESCRIPTIONXX = """
|
49 |
+
## β‘β‘β‘β‘ REALVISXL V5.0 BF16 (Tester A) β‘β‘β‘β‘
|
50 |
"""
|
51 |
|
52 |
examples = [
|
|
|
109 |
model_dtypes = {"ford442/RealVisXL_V5.0_BF16": torch.bfloat16,}
|
110 |
dtype = model_dtypes.get(model_id, torch.bfloat16) # Default to float32 if not found
|
111 |
#vae = AutoencoderKL.from_pretrained("ford442/sdxl-vae-bf16", safety_checker=None)
|
112 |
+
vaeX = AutoencoderKL.from_pretrained("stabilityai/sdxl-vae")
|
113 |
#vae = AutoencoderKL.from_pretrained('cross-attention/asymmetric-autoencoder-kl-x-2',use_safetensors=False)
|
114 |
#vae = AutoencoderKL.from_single_file('https://huggingface.co/ford442/sdxl-vae-bf16/mySLR/myslrVAE_v10.safetensors')
|
115 |
#vaeX = AutoencoderKL.from_pretrained("stabilityai/sd-vae-ft-mse",use_safetensors=True)
|
|
|
146 |
#sched = EulerAncestralDiscreteScheduler.from_config(pipe.scheduler.config, beta_schedule="scaled_linear",use_karras_sigmas=True, algorithm_type="dpmsolver++")
|
147 |
#pipe.scheduler = EulerAncestralDiscreteScheduler.from_config(pipe.scheduler.config, beta_schedule="scaled_linear", beta_start=0.00085, beta_end=0.012, steps_offset=1)
|
148 |
#pipe.scheduler = DPMSolverMultistepScheduler.from_pretrained('SG161222/RealVisXL_V5.0', subfolder='scheduler', algorithm_type='sde-dpmsolver++')
|
149 |
+
pipe.vae = vaeX
|
150 |
#pipe.unet = unetX
|
151 |
#pipe.vae.do_resize=False
|
152 |
pipe.scheduler = sched
|
|
|
220 |
f.write(f"SPACE SETUP: \n")
|
221 |
f.write(f"Use Model Dtype: no \n")
|
222 |
f.write(f"Model Scheduler: Euler_a custom before cuda \n")
|
223 |
+
f.write(f"Model VAE: SG161222/sdxl_vae \n")
|
224 |
f.write(f"Model UNET: default SG161222/RealVisXL_V5.0 \n")
|
225 |
upload_to_ftp(filename)
|
226 |
|