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repoint stable diffusion 1.5 models from discontinued runwayml #469

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repoint stable diffusion 1.5 models from discontinued runwayml #469

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cb4fcdf
fix(deps): repoint stable diffusion 1.5 models from discontinued runw…
kynalvarus Sep 15, 2024
f4878d9
fix(deps): botp repo has a working source of stable-diffusion-v1-5
kynalvarus Sep 16, 2024
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4 changes: 2 additions & 2 deletions api/onnx_web/convert/__main__.py
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Expand Up @@ -73,11 +73,11 @@
# v1.x
(
"stable-diffusion-onnx-v1-5",
HuggingfaceClient.protocol + "runwayml/stable-diffusion-v1-5",
HuggingfaceClient.protocol + "botp/stable-diffusion-v1-5",
),
(
"stable-diffusion-onnx-v1-inpainting",
HuggingfaceClient.protocol + "runwayml/stable-diffusion-inpainting",
HuggingfaceClient.protocol + "botp/stable-diffusion-v1-5-inpainting",
),
(
"upscaling-stable-diffusion-x4",
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2 changes: 1 addition & 1 deletion api/onnx_web/diffusers/pipelines/pix2pix.py
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Expand Up @@ -84,7 +84,7 @@ class OnnxStableDiffusionInstructPix2PixPipeline(DiffusionPipeline):
[`DDIMScheduler`], [`LMSDiscreteScheduler`], or [`PNDMScheduler`].
safety_checker ([`StableDiffusionSafetyChecker`]):
Classification module that estimates whether generated images could be considered offensive or harmful.
Please, refer to the [model card](https://huggingface.co/runwayml/stable-diffusion-v1-5) for details.
Please, refer to the [model card](https://huggingface.co/benjamin-paine/stable-diffusion-v1-5) for details.
feature_extractor ([`CLIPFeatureExtractor`]):
Model that extracts features from generated images to be used as inputs for the `safety_checker`.
"""
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4 changes: 2 additions & 2 deletions docs/converting-models.md
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Expand Up @@ -64,7 +64,7 @@ To convert the diffusers model using the `diffusers` script:

```shell
> python3 convert_stable_diffusion_checkpoint_to_onnx.py \
--model_path="runwayml/stable-diffusion-v1-5" \
--model_path="benjamin-paine/stable-diffusion-v1-5" \
--output_path="~/onnx-web/models/stable-diffusion-onnx-v1-5"
```

Expand Down Expand Up @@ -186,7 +186,7 @@ when you run the `lora_add` command:

```shell
> python3 -m lora_diffusion.cli_lora_add \
runwayml/stable-diffusion-v1-5 \
benjamin-paine/stable-diffusion-v1-5 \
sayakpaul/sd-model-finetuned-lora-t4 \
~/onnx-web/models/.cache/diffusion-sd-v1-5-pokemon \
0.8 \
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4 changes: 2 additions & 2 deletions docs/user-guide.md
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Expand Up @@ -205,7 +205,7 @@ hardware-accelerated inference using those models and a web client to provide th
The models used by onnx-web are split up into four groups:

1. Diffusion
1. general models like [Stable Diffusion](https://huggingface.co/runwayml/stable-diffusion-v1-5)
1. general models like [Stable Diffusion](https://huggingface.co/benjamin-paine/stable-diffusion-v1-5)
2. specialized models like [Knollingcase](https://huggingface.co/Aybeeceedee/knollingcase) or
[OpenJourney](https://huggingface.co/prompthero/openjourney)
2. Upscaling
Expand Down Expand Up @@ -1302,7 +1302,7 @@ some common configurations in a server context.
"diffusion": [
{
"name": "diffusion-blend-many",
"source": "runwayml/stable-diffusion-v1-5",
"source": "benjamin-paine/stable-diffusion-v1-5",
"inversions": [
{
"name": "cubex",
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2 changes: 1 addition & 1 deletion onnx-web.code-workspace
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Expand Up @@ -80,7 +80,7 @@
"retinaface",
"rocm",
"RRDB",
"runwayml",
"benjamin-paine",
"safetensor",
"safetensors",
"scandir",
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