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diffusers round width/height

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Vladimir Mandic
2023-09-16 17:09:51 -04:00
parent 2878f66c57
commit 9ca17487e0
1 changed files with 3 additions and 2 deletions
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modules/processing_diffusers.py
+3 -2
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@@ -1,4 +1,5 @@
import time
import math
import inspect
import typing
import torch
@@ -305,13 +306,13 @@ def process_diffusers(p: StableDiffusionProcessing, seeds, prompts, negative_pro
task_specific_kwargs={}
if sd_models.get_diffusers_task(shared.sd_model) == sd_models.DiffusersTaskType.TEXT_2_IMAGE:
p.ops.append('txt2img')
task_specific_kwargs = {"height": p.height, "width": p.width}
task_specific_kwargs = {"height": 8 * math.ceil(p.height / 8), "width": 8 * math.ceil(p.width / 8)}
elif sd_models.get_diffusers_task(shared.sd_model) == sd_models.DiffusersTaskType.IMAGE_2_IMAGE:
p.ops.append('img2img')
task_specific_kwargs = {"image": p.init_images, "strength": p.denoising_strength}
elif sd_models.get_diffusers_task(shared.sd_model) == sd_models.DiffusersTaskType.INPAINTING:
p.ops.append('inpaint')
task_specific_kwargs = {"image": p.init_images, "mask_image": p.mask, "strength": p.denoising_strength, "height": p.height, "width": p.width}
task_specific_kwargs = {"image": p.init_images, "mask_image": p.mask, "strength": p.denoising_strength, "height": 8 * math.ceil(p.height / 8), "width": 8 * math.ceil(p.width / 8)}
if shared.state.interrupted or shared.state.skipped:
unload_diffusers_lora()