Instructions to use FreeAi1111/FREE-AI with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use FreeAi1111/FREE-AI with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("FreeAi1111/FREE-AI", 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 folder using huggingface_hub
Browse files- text_encoder/config.json +24 -0
- text_encoder/model.safetensors +3 -0
- tokenizer/tokenizer.json +0 -0
- tokenizer/tokenizer_config.json +14 -0
- unet/config.json +36 -0
- unet/diffusion_pytorch_model.safetensors +3 -0
- vae/config.json +38 -0
- vae/diffusion_pytorch_model.safetensors +3 -0
text_encoder/config.json
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{
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"architectures": [
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"CLIPTextModel"
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],
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"attention_dropout": 0.0,
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"bos_token_id": 0,
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"dropout": 0.0,
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"dtype": "float16",
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"eos_token_id": 2,
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"hidden_act": "gelu",
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"hidden_size": 1024,
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"initializer_factor": 1.0,
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"initializer_range": 0.02,
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"intermediate_size": 4096,
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"layer_norm_eps": 1e-05,
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"max_position_embeddings": 77,
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"model_type": "clip_text_model",
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"num_attention_heads": 16,
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"num_hidden_layers": 23,
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"pad_token_id": 1,
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"projection_dim": 512,
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"transformers_version": "5.15.0",
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"vocab_size": 49408
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}
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text_encoder/model.safetensors
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version https://git-lfs.github.com/spec/v1
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oid sha256:bc1827c465450322616f06dea41596eac7d493f4e95904dcb51f0fc745c4e13f
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size 680820392
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tokenizer/tokenizer.json
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tokenizer/tokenizer_config.json
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{
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"add_prefix_space": false,
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"backend": "tokenizers",
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"bos_token": "<|startoftext|>",
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"do_lower_case": true,
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"eos_token": "<|endoftext|>",
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"errors": "replace",
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"is_local": true,
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"local_files_only": false,
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"model_max_length": 77,
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"pad_token": "!",
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"tokenizer_class": "CLIPTokenizer",
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"unk_token": "<|endoftext|>"
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}
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unet/config.json
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{
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"_class_name": "UNet3DConditionModel",
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"_diffusers_version": "0.39.0",
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"_name_or_path": "/root/.cache/huggingface/hub/models--damo-vilab--text-to-video-ms-1.7b/snapshots/8227dddca75a8561bf858d604cc5dae52b954d01/unet",
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"act_fn": "silu",
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"attention_head_dim": 64,
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"block_out_channels": [
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320,
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640,
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1280,
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1280
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],
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"cross_attention_dim": 1024,
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"down_block_types": [
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"CrossAttnDownBlock3D",
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"CrossAttnDownBlock3D",
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"CrossAttnDownBlock3D",
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"DownBlock3D"
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],
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"downsample_padding": 1,
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"in_channels": 4,
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"layers_per_block": 2,
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"mid_block_scale_factor": 1,
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"norm_eps": 1e-05,
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"norm_num_groups": 32,
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"num_attention_heads": null,
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"out_channels": 4,
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"sample_size": 32,
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"time_cond_proj_dim": null,
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"up_block_types": [
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"UpBlock3D",
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"CrossAttnUpBlock3D",
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"CrossAttnUpBlock3D",
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"CrossAttnUpBlock3D"
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]
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}
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unet/diffusion_pytorch_model.safetensors
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version https://git-lfs.github.com/spec/v1
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oid sha256:a024eaf5ccd3ad1d8cc4c1b227049263cbea675ccaade917d45c721efa5882e6
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size 2822650224
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vae/config.json
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{
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"_class_name": "AutoencoderKL",
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"_diffusers_version": "0.39.0",
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"_name_or_path": "/root/.cache/huggingface/hub/models--damo-vilab--text-to-video-ms-1.7b/snapshots/8227dddca75a8561bf858d604cc5dae52b954d01/vae",
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"act_fn": "silu",
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"block_out_channels": [
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128,
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256,
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512,
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512
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],
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"down_block_types": [
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"DownEncoderBlock2D",
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"DownEncoderBlock2D",
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"DownEncoderBlock2D",
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"DownEncoderBlock2D"
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],
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"force_upcast": true,
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"in_channels": 3,
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"latent_channels": 4,
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"latents_mean": null,
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"latents_std": null,
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"layers_per_block": 2,
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"mid_block_add_attention": true,
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"norm_num_groups": 32,
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"out_channels": 3,
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"sample_size": 512,
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"scaling_factor": 0.18215,
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"shift_factor": null,
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"up_block_types": [
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"UpDecoderBlock2D",
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"UpDecoderBlock2D",
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"UpDecoderBlock2D",
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"UpDecoderBlock2D"
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],
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"use_post_quant_conv": true,
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"use_quant_conv": true
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}
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vae/diffusion_pytorch_model.safetensors
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version https://git-lfs.github.com/spec/v1
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+
oid sha256:3e4c08995484ee61270175e9e7a072b66a6e4eeb5f0c266667fe1f45b90daf9a
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size 167335342
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