Text-to-Image
Diffusers
stable-diffusion
lora
template:sd-lora
migrated
concept
melting
drip
dripping
melt
Instructions to use brushpenbob/drippy-melt with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use brushpenbob/drippy-melt with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("stabilityai/stable-diffusion-xl-base-1.0", dtype=torch.bfloat16, device_map="cuda") pipe.load_lora_weights("brushpenbob/drippy-melt") prompt = " " image = pipe(prompt).images[0] - Inference
- Notebooks
- Google Colab
- Kaggle
- Local Apps
- Draw Things
- DiffusionBee
drippy melt

- Prompt

- Prompt

- Prompt

- Prompt
Model description
my first attempt at making a dripping art style
Trigger words
You should use evangmelt, Drippy34 to trigger the image generation.
Download model
Weights for this model are available in Safetensors format.
Download them in the Files & versions tab.
Use it with the 🧨 diffusers library
from diffusers import AutoPipelineForText2Image
import torch
pipeline = AutoPipelineForText2Image.from_pretrained('stabilityai/stable-diffusion-xl-base-1.0', torch_dtype=torch.float16).to('cuda')
pipeline.load_lora_weights('brushpenbob/drippy-melt', weight_name='melting_drip.safetensors')
image = pipeline('`evangmelt`, `Drippy34`').images[0]
For more details, including weighting, merging and fusing LoRAs, check the documentation on loading LoRAs in diffusers
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Model tree for brushpenbob/drippy-melt
Base model
stabilityai/stable-diffusion-xl-base-1.0