Instructions to use saddam213/Components with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use saddam213/Components with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("saddam213/Components", 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
Upload 6 files
Browse files
Anima_TextConditioner/config.json
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{
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"_class_name": "AnimaTextConditioner",
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"_diffusers_version": "0.39.0.dev0",
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"min_sequence_length": 512,
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"mlp_ratio": 4.0,
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"model_dim": 1024,
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"num_attention_heads": 16,
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"num_layers": 6,
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"source_dim": 1024,
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"target_dim": 1024,
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"target_vocab_size": 32128,
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"use_layer_norm": false,
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"use_self_attention": true
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}
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Anima_TextConditioner/diffusion_pytorch_model.safetensors
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version https://git-lfs.github.com/spec/v1
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oid sha256:fdcf606524892e35b270b96fc8bbd8d77e615ab882675a049f6e7c2ff6b71da3
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size 269339400
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Anima_TextConditioner/special_tokens_map.json
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Anima_TextConditioner/spiece.model
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version https://git-lfs.github.com/spec/v1
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oid sha256:d60acb128cf7b7f2536e8f38a5b18a05535c9e14c7a355904270e15b0945ea86
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size 791656
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Anima_TextConditioner/tokenizer.json
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Anima_TextConditioner/tokenizer_config.json
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{
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"tokenizer_class": "T5Tokenizer",
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"unk_token": "<unk>"
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}
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