Instructions to use Hoga2/Realisticdrawing with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Hoga2/Realisticdrawing with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("black-forest-labs/FLUX.1-dev", dtype=torch.bfloat16, device_map="cuda") pipe.load_lora_weights("Hoga2/Realisticdrawing") prompt = "Style ok TOK" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
File size: 591 Bytes
f353dec | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 | ---
tags:
- text-to-image
- stable-diffusion
- lora
- diffusers
- template:sd-lora
widget:
- text: Style ok TOK
output:
url: >-
images/workspace_trainsamples_773844113488446645_7273c39d-8132-4fae-a37b-f8b3d11401d4.png
base_model: black-forest-labs/FLUX.1-dev
instance_prompt: Style of TOK
---
# Myrealistcdraw
<Gallery />
## Trigger words
You should use `Style of TOK` to trigger the image generation.
## Download model
Weights for this model are available in Safetensors format.
[Download](/Hoga2/Realisticdrawing/tree/main) them in the Files & versions tab.
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