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 70
Browse files- checkpoint-1500/optimizer.bin +3 -0
- checkpoint-1500/random_states_0.pkl +3 -0
- checkpoint-1500/scheduler.bin +3 -0
- checkpoint-1500/unet/config.json +53 -0
- checkpoint-1500/unet/diffusion_pytorch_model.safetensors +3 -0
- logs/train_unconditional/events.out.tfevents.1785528047.5c355a00dafa.3186.0 +2 -2
- unet/diffusion_pytorch_model.safetensors +1 -1
checkpoint-1500/optimizer.bin
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version https://git-lfs.github.com/spec/v1
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oid sha256:2b5390d39c1975a7cff5a10c31e3600d94ee784a7d42f97317cd0f90edb10d90
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size 909764137
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checkpoint-1500/random_states_0.pkl
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version https://git-lfs.github.com/spec/v1
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oid sha256:19cb5782f7a61c8ac2f4bbb215a9e5f78dab1b467fd9ecc0d5201b9f3879324f
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size 14821
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checkpoint-1500/scheduler.bin
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version https://git-lfs.github.com/spec/v1
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oid sha256:3537583d054c16cb44e51b0d8c28a5d2d9a69dd9583dee925be57e2b6d99343f
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size 1401
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checkpoint-1500/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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"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-1500/unet/diffusion_pytorch_model.safetensors
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version https://git-lfs.github.com/spec/v1
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oid sha256:e08af3fcb69db49b39e67cbb2a901a414c27876fb04c9ec7a4754ebc3acaae9a
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size 454741108
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logs/train_unconditional/events.out.tfevents.1785528047.5c355a00dafa.3186.0
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size 17514913
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unet/diffusion_pytorch_model.safetensors
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