Text-to-Image
Diffusers
Safetensors
StableDiffusionPipeline
stable-diffusion
dalle
mj
dreamdrop
openskyml
Instructions to use ehristoforu/dreamdrop with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use ehristoforu/dreamdrop with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("ehristoforu/dreamdrop", dtype=torch.bfloat16, device_map="cuda") prompt = "epic realistic, faded, ((neutral colors)), art, (hdr:1.5), (muted colors:1.2), pastel, hyperdetailed, (artstation:1.5), warm lights, dramatic light, (intricate details:1.2), vignette, complex background, rutkowski" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
Update scheduler/scheduler_config.json
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by dreamdrop-art - opened
scheduler/scheduler_config.json
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{
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"_class_name": "
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"_diffusers_version": "0.25.0",
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"beta_end": 0.012,
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"beta_schedule": "scaled_linear",
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{
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"_class_name": "EulerAncestralDiscreteScheduler",
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"_diffusers_version": "0.25.0",
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"beta_end": 0.012,
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"beta_schedule": "scaled_linear",
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