Text-to-Image
Diffusers
ONNX
Safetensors
OpenVINO
English
StableDiffusionPipeline
art
anime
stable diffusion
lcm
latent consistency model
Instructions to use Disty0/LCM_SoteMix with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Disty0/LCM_SoteMix with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("Disty0/LCM_SoteMix", 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
- Draw Things
- DiffusionBee
Update vae_encoder/config.json
Browse files- vae_encoder/config.json +0 -1
vae_encoder/config.json
CHANGED
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@@ -1,7 +1,6 @@
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{
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"_class_name": "AutoencoderKL",
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"_diffusers_version": "0.23.0",
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-
"_name_or_path": "/home/disty/.cache/huggingface/hub/models--Disty0--LCM_SoteMix/snapshots/22e52d851e71671986d44ac9f3089c02cbfaced0/vae",
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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": "0.23.0",
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"act_fn": "silu",
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"block_out_channels": [
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128,
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