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Merge branch 'main' into JPPhoto-symmetry-enhancements

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Jonathan
2023-04-08 06:06:25 -05:00
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parent 8564159677 e456e2e63a
commit b5d02452bc
3 changed files with 4 additions and 3 deletions
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2
docs/installation/050_INSTALLING_MODELS.md
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@@ -50,7 +50,7 @@ subset that are currently installed are found in
|stable-diffusion-1.5|runwayml/stable-diffusion-v1-5|Stable Diffusion version 1.5 diffusers model (4.27 GB)|https://huggingface.co/runwayml/stable-diffusion-v1-5 |
|sd-inpainting-1.5|runwayml/stable-diffusion-inpainting|RunwayML SD 1.5 model optimized for inpainting, diffusers version (4.27 GB)|https://huggingface.co/runwayml/stable-diffusion-inpainting |
|stable-diffusion-2.1|stabilityai/stable-diffusion-2-1|Stable Diffusion version 2.1 diffusers model, trained on 768 pixel images (5.21 GB)|https://huggingface.co/stabilityai/stable-diffusion-2-1 |
|sd-inpainting-2.0|stabilityai/stable-diffusion-2-1|Stable Diffusion version 2.0 inpainting model (5.21 GB)|https://huggingface.co/stabilityai/stable-diffusion-2-1 |
|sd-inpainting-2.0|stabilityai/stable-diffusion-2-inpainting|Stable Diffusion version 2.0 inpainting model (5.21 GB)|https://huggingface.co/stabilityai/stable-diffusion-2-inpainting |
|analog-diffusion-1.0|wavymulder/Analog-Diffusion|An SD-1.5 model trained on diverse analog photographs (2.13 GB)|https://huggingface.co/wavymulder/Analog-Diffusion |
|deliberate-1.0|XpucT/Deliberate|Versatile model that produces detailed images up to 768px (4.27 GB)|https://huggingface.co/XpucT/Deliberate |
|d&d-diffusion-1.0|0xJustin/Dungeons-and-Diffusion|Dungeons & Dragons characters (2.13 GB)|https://huggingface.co/0xJustin/Dungeons-and-Diffusion |

4
invokeai/app/invocations/latent.py
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@@ -6,7 +6,7 @@ from torch import Tensor
import torch
from ...backend.model_management.model_manager import ModelManager
from ...backend.util.devices import CUDA_DEVICE, torch_dtype
from ...backend.util.devices import choose_torch_device, torch_dtype
from ...backend.stable_diffusion.diffusion.shared_invokeai_diffusion import PostprocessingSettings
from ...backend.image_util.seamless import configure_model_padding
from ...backend.prompting.conditioning import get_uc_and_c_and_ec
@@ -110,7 +110,7 @@ class NoiseInvocation(BaseInvocation):
height: int = Field(default=512, multiple_of=64, gt=0, description="The height of the resulting noise", )
def invoke(self, context: InvocationContext) -> NoiseOutput:
device = torch.device(CUDA_DEVICE)
device = torch.device(choose_torch_device())
noise = get_noise(self.width, self.height, device, self.seed)
name = f'{context.graph_execution_state_id}__{self.id}'

1
pyproject.toml
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@@ -63,6 +63,7 @@ dependencies = [
"prompt-toolkit",
"pypatchmatch",
"pyreadline3",
"python-multipart==0.0.6",
"pytorch-lightning==1.7.7",
"realesrgan",
"requests==2.28.2",