Instructions to use maxmarcon/klimt-diffusion with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use maxmarcon/klimt-diffusion with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("maxmarcon/klimt-diffusion", 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
Epoch 240
Browse files- checkpoint-5500/optimizer.bin +3 -0
- checkpoint-5500/random_states_0.pkl +3 -0
- checkpoint-5500/scheduler.bin +3 -0
- checkpoint-5500/unet/config.json +54 -0
- checkpoint-5500/unet/diffusion_pytorch_model.safetensors +3 -0
- logs/train_unconditional/events.out.tfevents.1787237863.0c9b25d5248e.1336.0 +2 -2
- unet/diffusion_pytorch_model.safetensors +1 -1
checkpoint-5500/optimizer.bin
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version https://git-lfs.github.com/spec/v1
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oid sha256:7c37bdf1d7c3b56a961e9eb493f92caa9303c1ad5c9c494860fbee294fdebe59
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size 909764137
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checkpoint-5500/random_states_0.pkl
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version https://git-lfs.github.com/spec/v1
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oid sha256:334632f4f1474f24bab269a4fb3027e89d2ce4913ff50899e1f573e52659e371
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size 14821
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checkpoint-5500/scheduler.bin
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version https://git-lfs.github.com/spec/v1
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oid sha256:a78a4fa3e9fecd5016dd8660adc103634fe9d76dbe7b4cb52657ca66d29d40e3
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size 1401
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checkpoint-5500/unet/config.json
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{
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"_class_name": "UNet2DModel",
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"_diffusers_version": "0.39.0.dev0",
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"_name_or_path": "ddpm-model-64/checkpoint-4000",
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"act_fn": "silu",
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"add_attention": true,
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"attention_head_dim": 8,
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"attn_norm_num_groups": null,
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"block_out_channels": [
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128,
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128,
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256,
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256,
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512,
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512
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],
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"center_input_sample": false,
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"class_embed_type": null,
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"down_block_types": [
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"DownBlock2D",
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"DownBlock2D",
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"DownBlock2D",
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"DownBlock2D",
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"AttnDownBlock2D",
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"DownBlock2D"
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],
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"downsample_padding": 1,
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"downsample_type": "conv",
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"dropout": 0.0,
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"flip_sin_to_cos": true,
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"freq_shift": 0,
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"in_channels": 3,
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"layers_per_block": 2,
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"mid_block_scale_factor": 1,
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"mid_block_type": "UNetMidBlock2D",
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"norm_eps": 1e-05,
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"norm_num_groups": 32,
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"num_class_embeds": null,
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"num_train_timesteps": null,
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"out_channels": 3,
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"resnet_time_scale_shift": "default",
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"sample_size": 256,
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"time_embedding_dim": null,
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"time_embedding_type": "positional",
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"up_block_types": [
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"UpBlock2D",
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"AttnUpBlock2D",
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"UpBlock2D",
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"UpBlock2D",
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"UpBlock2D",
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"UpBlock2D"
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],
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"upsample_type": "conv"
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}
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checkpoint-5500/unet/diffusion_pytorch_model.safetensors
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version https://git-lfs.github.com/spec/v1
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oid sha256:c8d5268af9bbb46ae902241649bcba60d59e2bfad372a38cc5c0db4c1d018dee
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size 454741108
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logs/train_unconditional/events.out.tfevents.1787237863.0c9b25d5248e.1336.0
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size
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size 13991686
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unet/diffusion_pytorch_model.safetensors
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size 454741108
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