Instructions to use lodestones/FruiT5-Pytorch with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use lodestones/FruiT5-Pytorch with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("lodestones/FruiT5-Pytorch", 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
- Local Apps Settings
- Draw Things
- DiffusionBee
Commit ·
7bf7a3d
1
Parent(s): 6c81bb3
epoch 8
Browse files- text_encoder/config.json +1 -1
- unet/config.json +1 -1
- unet/diffusion_pytorch_model.bin +1 -1
- vae/config.json +1 -1
text_encoder/config.json
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{
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"_name_or_path": "/content/sd1.5-t5-
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"architectures": [
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"T5EncoderModel"
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],
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{
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"_name_or_path": "/content/sd1.5-t5-e8/text_encoder",
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"architectures": [
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"T5EncoderModel"
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],
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unet/config.json
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{
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"_class_name": "UNet2DConditionModel",
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"_diffusers_version": "0.16.1",
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"_name_or_path": "/content/sd1.5-t5-
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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": "0.16.1",
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"_name_or_path": "/content/sd1.5-t5-e8/unet",
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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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unet/diffusion_pytorch_model.bin
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version https://git-lfs.github.com/spec/v1
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oid sha256:
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size 3438366373
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version https://git-lfs.github.com/spec/v1
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oid sha256:ed2fc4ad026ffe1e8ae91dc3e6f1ef88bad04d5700d5ae383d387609926efc39
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size 3438366373
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vae/config.json
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{
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"_class_name": "AutoencoderKL",
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"_diffusers_version": "0.16.1",
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"_name_or_path": "/content/sd1.5-t5-
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"act_fn": "silu",
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"block_out_channels": [
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128,
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{
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"_class_name": "AutoencoderKL",
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"_diffusers_version": "0.16.1",
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"_name_or_path": "/content/sd1.5-t5-e8/vae",
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"act_fn": "silu",
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"block_out_channels": [
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128,
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