Instructions to use donkeymouse/TherA with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use donkeymouse/TherA with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("donkeymouse/TherA", 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 14 files
Browse files- adapter/config.json +8 -0
- adapter/diffusion_pytorch_model.safetensors +3 -0
- model.pt +3 -0
- scheduler.pt +3 -0
- scheduler/.ipynb_checkpoints/scheduler_config-checkpoint.json +9 -0
- scheduler/scheduler_config.json +13 -0
- unet/config.json +68 -0
- unet/diffusion_pytorch_model.safetensors +3 -0
- unet_ema.pt +3 -0
- vae/config.json +29 -0
- vae/diffusion_pytorch_model.bin +3 -0
- vae/diffusion_pytorch_model.fp16.bin +3 -0
- vae/diffusion_pytorch_model.fp16.safetensors +3 -0
- vae/diffusion_pytorch_model.safetensors +3 -0
adapter/config.json
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{
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"_class_name": "TextAdapter",
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"_diffusers_version": "0.24.0",
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"_name_or_path": "pretrained_weights/lavi-bridge/llama2_unet/adapter",
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"in_dim": 4096,
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"int_dim": 2432,
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"out_dim": 768
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}
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adapter/diffusion_pytorch_model.safetensors
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version https://git-lfs.github.com/spec/v1
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model.pt
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scheduler.pt
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version https://git-lfs.github.com/spec/v1
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scheduler/.ipynb_checkpoints/scheduler_config-checkpoint.json
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{
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"_class_name": "PNDMScheduler",
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"_diffusers_version": "0.2.2",
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"beta_schedule": "scaled_linear",
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"num_train_timesteps": 1000,
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"skip_prk_steps": true
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}
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scheduler/scheduler_config.json
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{
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"beta_schedule": "scaled_linear",
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unet/config.json
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{
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"down_block_types": [
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"CrossAttnDownBlock2D",
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"CrossAttnDownBlock2D",
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"CrossAttnDownBlock2D",
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"DownBlock2D"
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],
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"downsample_padding": 1,
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"mid_block_type": "UNetMidBlock2DCrossAttn",
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"norm_eps": 1e-05,
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"CrossAttnUpBlock2D"
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],
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"upcast_attention": false,
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"use_linear_projection": false
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}
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unet/diffusion_pytorch_model.safetensors
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unet_ema.pt
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vae/config.json
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{
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"UpDecoderBlock2D",
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"UpDecoderBlock2D"
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}
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vae/diffusion_pytorch_model.bin
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version https://git-lfs.github.com/spec/v1
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vae/diffusion_pytorch_model.fp16.bin
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vae/diffusion_pytorch_model.fp16.safetensors
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vae/diffusion_pytorch_model.safetensors
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