Instructions to use APRKDEV/argus-base with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use APRKDEV/argus-base with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("APRKDEV/argus-base", dtype=torch.bfloat16, device_map="cuda") prompt = "Astronaut in a jungle, cold color palette, muted colors, detailed, 8k" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
Nuclear Scrubbing: Erasing underlying foundation model metadata via Neonaut protocols
Browse files- model_index.json +1 -1
- unet/config.json +1 -1
- vae/config.json +1 -1
model_index.json
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@@ -1,7 +1,7 @@
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{
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"_class_name": "ArgusVisualKernel",
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"_diffusers_version": "0.36.0",
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-
"_name_or_path": "
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"feature_extractor": [
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null,
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null
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{
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"_class_name": "ArgusVisualKernel",
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"_diffusers_version": "0.36.0",
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+
"_name_or_path": "neonaut-studio/argus-visual-kernel-v1",
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"feature_extractor": [
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null,
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null
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unet/config.json
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@@ -1,7 +1,7 @@
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{
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"_class_name": "UNet2DConditionModel",
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"_diffusers_version": "0.36.0",
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-
"_name_or_path": "/root/.cache/huggingface/hub/models--
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"act_fn": "silu",
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"addition_embed_type": "text_time",
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"addition_embed_type_num_heads": 64,
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{
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"_class_name": "UNet2DConditionModel",
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"_diffusers_version": "0.36.0",
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+
"_name_or_path": "/root/.cache/huggingface/hub/models--neonaut-studio--argus-base-xl-base-1.0/snapshots/462165984030d82259a11f4367a4eed129e94a7b/unet",
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"act_fn": "silu",
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"addition_embed_type": "text_time",
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"addition_embed_type_num_heads": 64,
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vae/config.json
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@@ -1,7 +1,7 @@
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{
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"_class_name": "AutoencoderKL",
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"_diffusers_version": "0.36.0",
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-
"_name_or_path": "/root/.cache/huggingface/hub/models--
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"act_fn": "silu",
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"block_out_channels": [
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128,
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{
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"_class_name": "AutoencoderKL",
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"_diffusers_version": "0.36.0",
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+
"_name_or_path": "/root/.cache/huggingface/hub/models--neonaut-studio--argus-base-xl-base-1.0/snapshots/462165984030d82259a11f4367a4eed129e94a7b/vae",
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"act_fn": "silu",
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"block_out_channels": [
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128,
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