Instructions to use poorguys/thepeak with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use poorguys/thepeak with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("poorguys/thepeak", 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 model
Browse files- config.json +1 -0
- diffusion_pytorch_model.safetensors +1 -1
config.json
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{
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"_class_name": "UNet2DConditionModel",
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"_diffusers_version": "0.31.0",
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"act_fn": "silu",
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"addition_embed_type": null,
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"addition_embed_type_num_heads": 64,
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{
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"_class_name": "UNet2DConditionModel",
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"_diffusers_version": "0.31.0",
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"_name_or_path": "model/Hanazono_Mincho_Ex_C_Regular_2_The_peak_all_256/epoch_35",
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"act_fn": "silu",
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"addition_embed_type": null,
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"addition_embed_type_num_heads": 64,
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diffusion_pytorch_model.safetensors
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version https://git-lfs.github.com/spec/v1
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version https://git-lfs.github.com/spec/v1
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oid sha256:6a1ffab39cf077a6b80ebbc382a58319dc0d82b64e5760f860a349932204ef60
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size 289114744
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