Text-to-Image
Diffusers
Safetensors
StableDiffusionPipeline
General
Anime
Art
Girl
Photorealistic
Realistic
Semi-Realistic
3D
zoidbb
XpucT
SG_161222
osi1880vr
stable-diffusion
stable-diffusion-diffusers
Instructions to use Yntec/DeliberateRealisticWoop with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Yntec/DeliberateRealisticWoop with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("Yntec/DeliberateRealisticWoop", 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 scheduler/scheduler_config.json
Browse files- scheduler/scheduler_config.json +13 -16
scheduler/scheduler_config.json
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{
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"_class_name": "
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"_diffusers_version": "0.
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"beta_end": 0.012,
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"beta_schedule": "scaled_linear",
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"beta_start": 0.00085,
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"clip_sample": false,
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"lower_order_final": true,
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"num_train_timesteps": 1000,
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"prediction_type": "epsilon",
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"set_alpha_to_one": false,
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"
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"steps_offset": 1,
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"trained_betas": null
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"use_karras_sigmas": false,
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"variance_type": null
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}
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{
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"_class_name": "EulerAncestralDiscreteScheduler",
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"_diffusers_version": "0.14.0",
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"beta_end": 0.012,
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"beta_schedule": "scaled_linear",
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"beta_start": 0.00085,
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"clip_sample": false,
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"num_train_timesteps": 1000,
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"prediction_type": "epsilon",
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"set_alpha_to_one": false,
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"skip_prk_steps": true,
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"steps_offset": 1,
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"trained_betas": null
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}
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