Instructions to use cuio/PixArt-alpha with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use cuio/PixArt-alpha with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("cuio/PixArt-alpha", 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
Commit ·
599ea52
0
Parent(s):
Duplicate from PixArt-alpha/PixArt-alpha
Browse filesCo-authored-by: Chen <Lawrence-cj@users.noreply.huggingface.co>
- .gitattributes +35 -0
- ControlNetHED.pth +3 -0
- PixArt-XL-2-1024-MS.pth +3 -0
- PixArt-XL-2-256x256-MSCOCO-FID732.pth +3 -0
- PixArt-XL-2-256x256.pth +3 -0
- PixArt-XL-2-512x512.pth +3 -0
- PixArt-XL-2-SAM-256x256.pth +3 -0
- PixArt-image-to-image-workflow.json +717 -0
- PixArt-text-to-image-workflow.json +501 -0
- README.md +8 -0
- sd-vae-ft-ema/config.json +29 -0
- sd-vae-ft-ema/diffusion_pytorch_model.bin +3 -0
- t5-v1_1-xxl/config.json +31 -0
- t5-v1_1-xxl/pytorch_model-00001-of-00002.bin +3 -0
- t5-v1_1-xxl/pytorch_model-00002-of-00002.bin +3 -0
- t5-v1_1-xxl/pytorch_model.bin.index.json +227 -0
- t5-v1_1-xxl/special_tokens_map.json +1 -0
- t5-v1_1-xxl/spiece.model +3 -0
- t5-v1_1-xxl/tokenizer_config.json +1 -0
.gitattributes
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ControlNetHED.pth
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PixArt-XL-2-1024-MS.pth
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PixArt-XL-2-512x512.pth
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PixArt-image-to-image-workflow.json
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PixArt-text-to-image-workflow.json
ADDED
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@@ -0,0 +1,501 @@
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|
README.md
ADDED
|
@@ -0,0 +1,8 @@
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|
|
| 1 |
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---
|
| 2 |
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license: agpl-3.0
|
| 3 |
+
---
|
| 4 |
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These weights are for the original Github repository and it's only for research purpose. For other purposes, please check https://huggingface.co/docs/diffusers/main/en/api/pipelines/pixart and https://huggingface.co/PixArt-alpha/PixArt-XL-2-1024-MS.
|
| 5 |
+
|
| 6 |
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Inference Code: https://github.com/PixArt-alpha/PixArt-alpha
|
| 7 |
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|
| 8 |
+
Paper: https://arxiv.org/abs/2310.00426
|
sd-vae-ft-ema/config.json
ADDED
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{
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|
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|
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|
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|
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|
| 10 |
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|
| 11 |
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|
| 12 |
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"DownEncoderBlock2D",
|
| 13 |
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"DownEncoderBlock2D",
|
| 14 |
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|
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|
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|
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|
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"latent_channels": 4,
|
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|
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"norm_num_groups": 32,
|
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|
| 22 |
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|
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"up_block_types": [
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| 24 |
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|
| 25 |
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|
| 26 |
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|
| 27 |
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|
| 28 |
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]
|
| 29 |
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}
|
sd-vae-ft-ema/diffusion_pytorch_model.bin
ADDED
|
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t5-v1_1-xxl/config.json
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|
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|
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"is_encoder_decoder": true,
|
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|
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"layer_norm_epsilon": 1e-06,
|
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|
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|
| 29 |
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"use_cache": true,
|
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"vocab_size": 32128
|
| 31 |
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|
t5-v1_1-xxl/pytorch_model-00001-of-00002.bin
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t5-v1_1-xxl/pytorch_model.bin.index.json
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|
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|
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|
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|
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|
| 225 |
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|
| 226 |
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|
| 227 |
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}
|
t5-v1_1-xxl/special_tokens_map.json
ADDED
|
@@ -0,0 +1 @@
|
|
|
|
|
|
|
| 1 |
+
{"eos_token": "</s>", "unk_token": "<unk>", "pad_token": "<pad>", "additional_special_tokens": ["<extra_id_0>", "<extra_id_1>", "<extra_id_2>", "<extra_id_3>", "<extra_id_4>", "<extra_id_5>", "<extra_id_6>", "<extra_id_7>", "<extra_id_8>", "<extra_id_9>", "<extra_id_10>", "<extra_id_11>", "<extra_id_12>", "<extra_id_13>", "<extra_id_14>", "<extra_id_15>", "<extra_id_16>", "<extra_id_17>", "<extra_id_18>", "<extra_id_19>", "<extra_id_20>", "<extra_id_21>", "<extra_id_22>", "<extra_id_23>", "<extra_id_24>", "<extra_id_25>", "<extra_id_26>", "<extra_id_27>", "<extra_id_28>", "<extra_id_29>", "<extra_id_30>", "<extra_id_31>", "<extra_id_32>", "<extra_id_33>", "<extra_id_34>", "<extra_id_35>", "<extra_id_36>", "<extra_id_37>", "<extra_id_38>", "<extra_id_39>", "<extra_id_40>", "<extra_id_41>", "<extra_id_42>", "<extra_id_43>", "<extra_id_44>", "<extra_id_45>", "<extra_id_46>", "<extra_id_47>", "<extra_id_48>", "<extra_id_49>", "<extra_id_50>", "<extra_id_51>", "<extra_id_52>", "<extra_id_53>", "<extra_id_54>", "<extra_id_55>", "<extra_id_56>", "<extra_id_57>", "<extra_id_58>", "<extra_id_59>", "<extra_id_60>", "<extra_id_61>", "<extra_id_62>", "<extra_id_63>", "<extra_id_64>", "<extra_id_65>", "<extra_id_66>", "<extra_id_67>", "<extra_id_68>", "<extra_id_69>", "<extra_id_70>", "<extra_id_71>", "<extra_id_72>", "<extra_id_73>", "<extra_id_74>", "<extra_id_75>", "<extra_id_76>", "<extra_id_77>", "<extra_id_78>", "<extra_id_79>", "<extra_id_80>", "<extra_id_81>", "<extra_id_82>", "<extra_id_83>", "<extra_id_84>", "<extra_id_85>", "<extra_id_86>", "<extra_id_87>", "<extra_id_88>", "<extra_id_89>", "<extra_id_90>", "<extra_id_91>", "<extra_id_92>", "<extra_id_93>", "<extra_id_94>", "<extra_id_95>", "<extra_id_96>", "<extra_id_97>", "<extra_id_98>", "<extra_id_99>"]}
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t5-v1_1-xxl/spiece.model
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
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| 2 |
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oid sha256:d60acb128cf7b7f2536e8f38a5b18a05535c9e14c7a355904270e15b0945ea86
|
| 3 |
+
size 791656
|
t5-v1_1-xxl/tokenizer_config.json
ADDED
|
@@ -0,0 +1 @@
|
|
|
|
|
|
|
| 1 |
+
{"eos_token": "</s>", "unk_token": "<unk>", "pad_token": "<pad>", "extra_ids": 100, "additional_special_tokens": ["<extra_id_0>", "<extra_id_1>", "<extra_id_2>", "<extra_id_3>", "<extra_id_4>", "<extra_id_5>", "<extra_id_6>", "<extra_id_7>", "<extra_id_8>", "<extra_id_9>", "<extra_id_10>", "<extra_id_11>", "<extra_id_12>", "<extra_id_13>", "<extra_id_14>", "<extra_id_15>", "<extra_id_16>", "<extra_id_17>", "<extra_id_18>", "<extra_id_19>", "<extra_id_20>", "<extra_id_21>", "<extra_id_22>", "<extra_id_23>", "<extra_id_24>", "<extra_id_25>", "<extra_id_26>", "<extra_id_27>", "<extra_id_28>", "<extra_id_29>", "<extra_id_30>", "<extra_id_31>", "<extra_id_32>", "<extra_id_33>", "<extra_id_34>", "<extra_id_35>", "<extra_id_36>", "<extra_id_37>", "<extra_id_38>", "<extra_id_39>", "<extra_id_40>", "<extra_id_41>", "<extra_id_42>", "<extra_id_43>", "<extra_id_44>", "<extra_id_45>", "<extra_id_46>", "<extra_id_47>", "<extra_id_48>", "<extra_id_49>", "<extra_id_50>", "<extra_id_51>", "<extra_id_52>", "<extra_id_53>", "<extra_id_54>", "<extra_id_55>", "<extra_id_56>", "<extra_id_57>", "<extra_id_58>", "<extra_id_59>", "<extra_id_60>", "<extra_id_61>", "<extra_id_62>", "<extra_id_63>", "<extra_id_64>", "<extra_id_65>", "<extra_id_66>", "<extra_id_67>", "<extra_id_68>", "<extra_id_69>", "<extra_id_70>", "<extra_id_71>", "<extra_id_72>", "<extra_id_73>", "<extra_id_74>", "<extra_id_75>", "<extra_id_76>", "<extra_id_77>", "<extra_id_78>", "<extra_id_79>", "<extra_id_80>", "<extra_id_81>", "<extra_id_82>", "<extra_id_83>", "<extra_id_84>", "<extra_id_85>", "<extra_id_86>", "<extra_id_87>", "<extra_id_88>", "<extra_id_89>", "<extra_id_90>", "<extra_id_91>", "<extra_id_92>", "<extra_id_93>", "<extra_id_94>", "<extra_id_95>", "<extra_id_96>", "<extra_id_97>", "<extra_id_98>", "<extra_id_99>"], "model_max_length": 512, "name_or_path": "t5-small"}
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