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Browse files
README.md
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@@ -68,8 +68,6 @@ steps), SDXL (50 inference steps), SDXL Turbo (1 inference step) and Würstchen
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## Code Example
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**⚠️ Important**: For the code below to work, you have to install `diffusers` from this branch while the PR is WIP.
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```python
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import torch
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from diffusers import StableCascadeDecoderPipeline, StableCascadePriorPipeline
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## Code Example
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```python
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import torch
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from diffusers import StableCascadeDecoderPipeline, StableCascadePriorPipeline
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decoder_lite/config.json
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@@ -0,0 +1,83 @@
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{
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"_class_name": "StableCascadeUNet",
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"_diffusers_version": "0.27.0.dev0",
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"block_out_channels": [
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320,
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576,
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1152,
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1152
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],
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"block_types_per_layer": [
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[
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"SDCascadeResBlock",
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"SDCascadeTimestepBlock"
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],
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[
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"SDCascadeResBlock",
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"SDCascadeTimestepBlock"
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],
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[
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"SDCascadeResBlock",
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"SDCascadeTimestepBlock",
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"SDCascadeAttnBlock"
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],
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[
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"SDCascadeResBlock",
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"SDCascadeTimestepBlock",
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"SDCascadeAttnBlock"
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]
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],
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"clip_image_in_channels": null,
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"clip_seq": 4,
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"clip_text_in_channels": null,
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"clip_text_pooled_in_channels": 1280,
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"conditioning_dim": 1280,
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"down_blocks_repeat_mappers": [
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1,
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1,
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1,
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1
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],
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"down_num_layers_per_block": [
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2,
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4,
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14,
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4
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],
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"dropout": [
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0,
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0,
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0.1,
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0.1
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],
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"effnet_in_channels": 16,
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"in_channels": 4,
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"kernel_size": 3,
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"num_attention_heads": [
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0,
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9,
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18,
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18
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],
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"out_channels": 4,
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"patch_size": 2,
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"pixel_mapper_in_channels": 3,
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"self_attn": true,
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"switch_level": null,
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"timestep_conditioning_type": [
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"sca"
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],
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"timestep_ratio_embedding_dim": 64,
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"up_blocks_repeat_mappers": [
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2,
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2,
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2,
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2
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],
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"up_num_layers_per_block": [
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4,
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14,
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4,
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2
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]
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}
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decoder_lite/diffusion_pytorch_model.bf16.safetensors
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version https://git-lfs.github.com/spec/v1
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oid sha256:cdf99f9972e67abfbffcd9146be83ae0fd7307789619cefa4cf4a54cd62181e6
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size 1399047416
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decoder_lite/diffusion_pytorch_model.safetensors
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@@ -0,0 +1,3 @@
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version https://git-lfs.github.com/spec/v1
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+
oid sha256:7dcb3fc8b1e3f2a1756503472043a7d6810003a418b60b08674633b20b452ffb
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size 2797989648
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